Ryan C. Kunz
Impact in
- Molecular Biology top 10%
- Microbial metabolism and enzyme function
- Porphyrin Metabolism and Disorders
- DNA Repair Mechanisms
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
Papers in
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- Porphyrin Metabolism and Disorders 8
- Microbial metabolism and enzyme function 4
- Ubiquitin and proteasome pathways 3
- Wnt/β-catenin signaling in development and cancer 3
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- Metal-Catalyzed Oxygenation Mechanisms 8
- Co-authors
- Steven P. Gygi (13 shared papers)Stephen W. Ragsdale (8 shared papers)Robert A. Everley (2 shared papers)Alan A. DiSpirito (4 shared papers)Mishtu Dey (5 shared papers)James A. Zahn (3 shared papers)Jeffrey M. Boyd (2 shared papers)Ling Yang (2 shared papers)
- Journals
- Biochemistry (6 papers)Analytical Chemistry (3 papers)Journal of Bacteriology (2 papers)Cell Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Ryan C. Kunz
29 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.0k
- Cell Biology 217
- Inorganic Chemistry 179
- Spectroscopy 208
- Aging 19
Countries citing papers authored by Ryan C. Kunz
This map shows the geographic impact of Ryan C. Kunz'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 Ryan C. Kunz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan C. Kunz more than expected).
Fields of papers citing papers by Ryan C. Kunz
This network shows the impact of papers produced by Ryan C. Kunz. 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 Ryan C. Kunz. The network helps show where Ryan C. Kunz may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan C. Kunz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 193 | |
| 2 | 2003 | 178 | |
| 3 | 2009 | 140 | |
| 4 | 2014 | 121 | |
| 5 | 2016 | 101 | |
| 6 | 2009 | 92 | |
| 7 | 2017 | 77 | |
| 8 | 2013 | 68 | |
| 9 | 2005 | 61 | |
| 10 | 2017 | 56 | |
| 11 | 2007 | 53 | |
| 12 | 2001 | 51 | |
| 13 | 2015 | 46 | |
| 14 | 2017 | 38 | |
| 15 | 2010 | 37 | |
| 16 | 2017 | 31 | |
| 17 | 2006 | 28 | |
| 18 | 2007 | 27 | |
| 19 | 2018 | 26 | |
| 20 | 2008 | 21 |
About Ryan C. Kunz
Ryan C. Kunz is a scholar working on Molecular Biology, Inorganic Chemistry, Spectroscopy, Renewable Energy, Sustainability and the Environment and Cell Biology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (8 papers), Metal-Catalyzed Oxygenation Mechanisms (8 papers), Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (5 papers), Metalloenzymes and iron-sulfur proteins (4 papers), Microbial metabolism and enzyme function (4 papers), Ubiquitin and proteasome pathways (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Cell Biology (217 citations), Inorganic Chemistry (179 citations), Spectroscopy (208 citations) and Aging (19 citations). Ryan C. Kunz has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Steven P. Gygi, Stephen W. Ragsdale, Robert A. Everley, Alan A. DiSpirito, Mishtu Dey, James A. Zahn, Jeffrey M. Boyd, Ling Yang, Jeremy D. Semrau and William E. Antholine. Their work appears in journals such as Biochemistry, Analytical Chemistry, Journal of Bacteriology, Cell Reports and Proceedings of the National Academy of Sciences.
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.