John L. Markley
- Spectroscopy top 0.05%
- Advanced NMR Techniques and Applications 60
- Molecular Biology top 0.05%
- Protein Structure and Dynamics 145
- Metabolomics and Mass Spectrometry Studies 64
- RNA and protein synthesis mechanisms 63
- Photosynthetic Processes and Mechanisms 49
- Biophysics top 0.2%
- Cell Biology top 0.5%
- Materials Chemistry top 0.5%
- Enzyme Structure and Function 94
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- Metalloenzymes and iron-sulfur proteins 55
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- NMR spectroscopy and applications 47
- Co-authors
- William M. WestlerMarco TonelliEldon L. UlrichWoonghee LeeHelen M. BermanFrits AbildgaardDavid S. WishartBrian D. Sykes
- Journals
- Biochemistry (90 papers)Journal of the American Chemical Society (46 papers)Journal of Biomolecular NMR (38 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
John L. Markley
504 papers receiving 27.2k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Spectroscopy 4.9k
- Molecular Biology 20.1k
- Biophysics 826
- Cell Biology 1.9k
- Materials Chemistry 5.2k
Countries citing papers authored by John L. Markley
This map shows the geographic impact of John L. Markley'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 John L. Markley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John L. Markley more than expected).
Fields of papers citing papers by John L. Markley
This network shows the impact of papers produced by John L. Markley. 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 John L. Markley. The network helps show where John L. Markley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John L. Markley, 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 | 2022 | 4 | |
| 2 | 2021 | 10 | |
| 3 | 2020 | 8 | |
| 4 | 2020 | 11 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 14 | |
| 10 | 2017 | 23 | |
| 11 | 2017 | 19 | |
| 12 | 2016 | 23 | |
| 13 | The photosynthetic pathway type of North American shortgrass prairie species and some ecological implications | 2015 | 1 |
| 14 | 2012 | 78 | |
| 15 | 2008 | 18 | |
| 16 | 2006 | 14 | |
| 17 | 1994 | 73 | |
| 18 | 1994 | 4 | |
| 19 | 1994 | 31 | |
| 20 | 1983 | 14 |
About John L. Markley
John L. Markley is a scholar working on Spectroscopy, Biophysics and Molecular Biology, having authored 507 papers that have together received 27.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (145 papers), Enzyme Structure and Function (94 papers), Metabolomics and Mass Spectrometry Studies (64 papers), RNA and protein synthesis mechanisms (63 papers), Advanced NMR Techniques and Applications (60 papers), Metalloenzymes and iron-sulfur proteins (55 papers), Photosynthetic Processes and Mechanisms (49 papers) and NMR spectroscopy and applications (47 papers). The work is most often cited by research in Spectroscopy (4.9k citations), Molecular Biology (20.1k citations) and Biophysics (826 citations). John L. Markley has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include William M. Westler, Marco Tonelli, Eldon L. Ulrich, Woonghee Lee, Helen M. Berman, Frits Abildgaard, David S. Wishart, Brian D. Sykes, Wim Vranken and Hamid R. Eghbalnia. Their work appears in journals such as Biochemistry, Journal of the American Chemical Society, Journal of Biomolecular NMR, Journal of Biological Chemistry and Protein Science.
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.