Joshua J. Coon
- Spectroscopy top 0.01%
- Advanced Proteomics Techniques and Applications 151
- Mass Spectrometry Techniques and Applications 145
- Analytical Chemistry and Chromatography 37
- Molecular Biology top 0.2%
- Metabolomics and Mass Spectrometry Studies 69
- Mitochondrial Function and Pathology 26
- Microbial Metabolic Engineering and Bioproduction 23
- RNA and protein synthesis mechanisms 19
- Geriatrics and Gerontology top 0.5%
- Aging top 1%
- Cell Biology top 0.5%
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- Biofuel production and bioconversion 23
- Co-authors
- Michael S. WestphallJohn E. P. SykaDonald F. HuntJeffrey ShabanowitzAlexander S. HebertDerek J. BaileyMelanie SchroederDanielle L. Swaney
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Joshua J. Coon
347 papers receiving 21.7k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Spectroscopy 10.3k
- Molecular Biology 13.6k
- Geriatrics and Gerontology 533
- Aging 189
- Cell Biology 1.2k
Countries citing papers authored by Joshua J. Coon
This map shows the geographic impact of Joshua J. Coon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joshua J. Coon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua J. Coon more than expected).
Fields of papers citing papers by Joshua J. Coon
This network shows the impact of papers produced by Joshua J. Coon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joshua J. Coon. The network helps show where Joshua J. Coon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joshua J. Coon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 23 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 24 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 48 | |
| 14 | 2020 | 34 | |
| 15 | 2019 | 28 | |
| 16 | 2018 | 15 | |
| 17 | 2017 | 64 | |
| 18 | 2015 | 87 | |
| 19 | 2012 | 13 | |
| 20 | 2007 | 460 |
About Joshua J. Coon
Joshua J. Coon is a scholar working on Spectroscopy, Structural Biology and Molecular Biology, having authored 359 papers that have together received 22.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (151 papers), Mass Spectrometry Techniques and Applications (145 papers), Metabolomics and Mass Spectrometry Studies (69 papers), Analytical Chemistry and Chromatography (37 papers), Mitochondrial Function and Pathology (26 papers), Microbial Metabolic Engineering and Bioproduction (23 papers), Biofuel production and bioconversion (23 papers) and RNA and protein synthesis mechanisms (19 papers). The work is most often cited by research in Spectroscopy (10.3k citations), Molecular Biology (13.6k citations) and Geriatrics and Gerontology (533 citations). Joshua J. Coon has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Michael S. Westphall, John E. P. Syka, Donald F. Hunt, Jeffrey Shabanowitz, Alexander S. Hebert, Derek J. Bailey, Melanie Schroeder, Danielle L. Swaney, Craig D. Wenger and Graeme C. McAlister. Their work appears in journals such as Nature, Science and Cell.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.