Journal rankings · indicator year 2022
Choose a field to open its ranking, or a journal to find its row in its subfield’s list.
Subfield ranking · 2022
Spectroscopy journal rankings 2022
30 ranked journals · Subfield in Chemistry
Spectroscopy has 30 ranked journals in 2022. The median journal has an OJR of 0.53, below the world average of 1.00, down 0.03 on 2021; Q1 starts at OJR 0.93. The top three are Progress in Nuclear Magnetic Resonance Spectroscopy, Mass Spectrometry Reviews, and Clinical Proteomics.
Ranks and citation indicators: 2022. Journal access status and listed APC: source snapshot September 23, 2026.
Journals whose main subfield sits in this category and that published at least 30 citable documents (articles, reviews and conference papers) in 2019–2021, the window the 2022 score is computed on.
The OpenJournalRank Indicator (OJR) is a free, publicly available metric of a journal’s field-normalized citation impact, computed from open OpenAlex citation data. It compares citations to a journal’s papers from the previous three years with the world average for papers of the same subfield, year and type, so 1.00 is the world average and values can be compared across fields. It is computed with the NCI3 method.
The middle OJR among ranked journals in this category: half score higher, half lower. 1.00 is the world average for papers of the same subfield, year and type.
The dot is this category, the solid tick is the median of all ranked journals and the dashed line is the world average.
Share of ranked journals in this category that are fully open access, so every paper is free to read. Hybrid journals, which sell subscriptions and open single papers for a fee, are not counted.
Median list price of the article processing charge, in US dollars, among ranked journals in this category that list a price above zero. Journals with a listed APC of $0 and journals with no known price are left out of this median. The At a glance table below gives a second median that includes the $0 prices.
Subfields of Chemistry (6)
30 ranked journals
Filters
Rank is the position by OJR within the list on screen; 1 is the highest. | OJR is field-normalized 3-year citation impact: 1.00 is the world average for papers of the same subfield, year and type, so values compare across fields. The badge is the journal’s quartile in this list. | Citations per paper over a two-year window, counted from OpenAlex. It is not field-normalized, so compare it only between journals of the same field. ▲ or ▼ is the change from 2021. This is OpenJournalRank’s own count, not Clarivate’s Journal Impact Factor. | Citable documents (articles, reviews and conference papers) published in 2019–2021, the window the 2022 OJR is computed on. A journal needs at least 30 to be ranked. | Share of the journal’s 2019–2021 papers that are free to read in any open-access form. The green OA tag next to a title marks a fully open-access journal. | List price of the article processing charge in US dollars. “$0 listed” means the listed price is zero; a dash means no price is listed. | The line is the journal’s OJR from 2013 to 2022. | Compare |
|---|---|---|---|---|---|---|---|
1Progress in Nuclear Magnetic Resonance SpectroscopyElsevier BV · Netherlands | 2.71Q1 | 5.78 3.22 down from 2021 | 60 | 62% | $4,170 | ||
2Mass Spectrometry ReviewsWiley · United States | 1.77Q1 | 5.59 1.90 down from 2021 | 162 | 37% | $5,230 | ||
3Clinical ProteomicsOABioMed Central · United States | 1.24Q1 | 4.31 1.11 down from 2021 | 114 | 100% | $2,490 | ||
4Journal of Physical and Chemical Reference DataAmerican Institute of Physics · United States | 1.20Q1 | 4.66 0.47 down from 2021 | 47 | 41% | — | ||
5Journal of Proteome ResearchAmerican Chemical Society · United States | 1.16Q1 | 4.95 0.29 down from 2021 | 1,258 | 50% | $4,500 | ||
6Journal of Chromatography AElsevier BV · Netherlands | 1.09Q1 | 4.59 0.10 up from 2021 | 2,307 | 28% | $4,040 | ||
7Expert Review of ProteomicsTaylor & Francis · United Kingdom | 1.06Q1 | 3.84 0.49 down from 2021 | 197 | 48% | — | ||
8Journal of Magnetic ResonanceElsevier BV · United States | 0.93Q1 | 2.71 0.52 down from 2021 | 541 | 53% | $3,500 | ||
9Solid State Nuclear Magnetic ResonanceElsevier BV · United States | 0.87Q2 | 3.00 0.35 down from 2021 | 113 | 43% | $3,750 | ||
10Journal of the American Society for Mass SpectrometryAmerican Chemical Society · United States | 0.81Q2 | 3.24 0.14 down from 2021 | 846 | 40% | $4,500 | ||
11Magnetic ResonanceOAGermany | 0.81Q2 | 2.71 0.96 down from 2021 | 89 | 100% | $992 | ||
12Journal of Separation ScienceWiley · Germany | 0.75Q2 | 2.96 0.43 down from 2021 | 1,219 | 14% | $4,030 | ||
13Journal of Mass Spectrometry and Advances in the Clinical LabOAElsevier BV · Netherlands | 0.74Q2 | 2.58 1.42 down from 2021 | 33 | 100% | $900 | ||
14Rapid Communications in Mass SpectrometryWiley · United Kingdom | 0.55Q2 | 1.95 0.10 down from 2021 | 858 | 27% | $4,840 | ||
15Analytical Science AdvancesOAWiley · Germany | 0.53Q2 | 1.88 0.58 up from 2021 | 93 | 100% | $3,180 | ||
16ChiralityWiley · United States | 0.53Q3 | 2.12 0.06 down from 2021 | 326 | 23% | $4,030 | ||
17International Journal for Ion Mobility SpectrometrySpringer Science+Business Media · Germany | 0.52Q3 | 1.94 0.06 down from 2021 | 30 | — | $3,280 | ||
18Magnetic Resonance in ChemistryWiley · United Kingdom | 0.52Q3 | 1.84 0.16 down from 2021 | 382 | 33% | $4,440 | ||
19Journal of Mass SpectrometryWiley · United Kingdom | 0.51Q3 | 1.77 0.26 down from 2021 | 440 | 30% | $4,430 | ||
20ChromatographiaSpringer Science+Business Media · Germany | 0.48Q3 | 1.63 0.01 down from 2021 | 406 | 20% | $3,790 | ||
21International Journal of Mass SpectrometryElsevier BV · Netherlands | 0.46Q3 | 1.54 0.02 up from 2021 | 504 | 29% | $4,110 | ||
22Supramolecular chemistryTaylor & Francis · Switzerland | 0.45Q3 | 1.70 0.27 down from 2021 | 188 | 70% | — | ||
23Mass SpectrometryOAMass Spectrometry Society of Japan · Japan | 0.38Q3 | 1.52 0.31 down from 2021 | 38 | 100% | — | ||
24European Journal of Mass SpectrometrySAGE Publishing · United Kingdom | 0.36Q4 | 1.57 0.19 up from 2021 | 95 | 14% | $4,150 | ||
25Journal of Molecular SpectroscopyElsevier BV · United States | 0.31Q4 | 1.11 0.11 down from 2021 | 278 | 54% | $3,310 | ||
26ChromatographyOAJapan | 0.20Q4 | 1.56 0.19 up from 2021 | 66 | 100% | — | ||
27Mass spectrometry lettersOAKorean Society for Mass Spectrometry · South Korea | 0.16Q4 | 0.52 0.06 up from 2021 | 52 | — | — | ||
28Chinese Journal of ChromatographyScience Press · China | 0.10Q4 | 0.61 0.04 up from 2021 | 334 | 98% | — | ||
29Journal of Chromatography & Separation TechniquesOMICS Publishing Group · United States | 0.02Q4 | 0.06 0.03 up from 2021 | 103 | — | — | ||
30Journal of the Mass Spectrometry Society of JapanOAMass Spectrometry Society of Japan · Japan | 0.01Q4 | 0.03 0.11 down from 2021 | 110 | 100% | — |
Subfields of Chemistry, with Spectroscopy highlighted.
- Organic Chemistry146
- Analytical Chemistry36
- Spectroscopy30
- Inorganic Chemistry17
- Physical and Theoretical Chemistry5
- Electrochemistry1
Journals
Citations made in 2022. Corpus-wide, 89.5% of core-journal articles and reviews published that year have at least one matched reference; the share varies by journal and field.
11 additional Spectroscopy journals with metrics are unranked under this release’s eligibility rules: a journal needs at least 30 citable documents in 2019–2021, at least 80% of them with a subfield, and a positive world-average expectation. Ranks are within the whole category; filters hide rows without re-ranking. OJR excludes self-citations.
At a glance
Indicator year: 2022. Publication window: 2019–2021. How these summaries are calculated
- Ranked journals
- 30
- Window papers (baseline)
- 32,536 -2.7% from indicator year 2019
- Median OJR
- 0.53 -20.3% from indicator year 2019
- Rising journals (2025)
- 1
Window papers are the baseline paper population: citable papers (articles, reviews and conference papers) from 2019–2021 in all journals of the world-average baseline, including non-core journals, counted by each paper’s own subfield. They are not the papers of the ranked journals alone.
| Measure | Year series | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ranked journals | 21 | 21 | 23 | 23 | 22 | 22 | 21 | 22 | 22 | 24 | 25 | 25 | 25 | 27 | 28 | 29 | 31 | 29 | 28 | 28 | 27 | 28 | 30 | 34 | 33 | 33 | |
| Window papers (baseline) | 27,502 | 27,640 | 27,844 | 28,218 | 29,022 | 30,634 | 32,381 | 33,844 | 34,498 | 35,393 | 35,538 | 36,336 | 36,857 | 37,796 | 38,660 | 38,766 | 38,249 | 36,535 | 34,913 | 33,446 | 33,070 | 32,834 | 32,536 | 31,474 | 30,689 | 31,427 | |
| Median OJR | 0.996 | 0.983 | 0.988 | 1.26 | 1.086 | 0.96 | 1.21 | 1.15 | 1.25 | 1.08 | 0.995 | 1.01 | 1.093 | 0.979 | 0.984 | 0.83 | 0.79 | 0.77 | 0.69 | 0.67 | 0.60 | 0.56 | 0.53 | 0.565 | 0.54 | 0.570 |
How to read these rankings
- OJR, the OpenJournalRank Indicator
- A field-normalized 3-year citation impact, computed from OpenAlex with the NCI3 method. It divides the citations a journal’s papers received by the world average for papers of the same subfield, year and type, so 1.00 is the world average and 2.00 means twice as many citations as expected. Because it is normalized, it can be compared across fields. Read the methodology
- Quartiles
- Q1 to Q4 split the ranked journals of the list you are viewing into four equal groups by OJR. A journal’s quartile depends on the list: the same journal can be Q1 in its subfield and Q2 among all journals.
- Impact factor (2-year)
- Citations per paper over a two-year window, counted from OpenAlex. It is easy to compare with familiar impact factors but is not field-normalized, so compare it only within a field. It is not Clarivate’s Journal Impact Factor. Why it differs from the Journal Impact Factor
- Rank ranges
- Each rank in the latest year carries a likely range from 1,000 resamples of the journal’s papers. Where two journals’ ranges overlap, the data cannot tell them apart, so treat neighbouring ranks as ties.