Jonathan K. Williams
Impact in
- Spectroscopy top 5%
- Advanced NMR Techniques and Applications
- Biophysics top 5%
- Electron Spin Resonance Studies
Papers in
- Spectroscopy 10
- Advanced NMR Techniques and Applications 10
-
- Protein Structure and Dynamics 4
- Co-authors
- Mei Hong (11 shared papers)Venkata S. Mandala (1 shared paper)Klaus Schmidt‐Rohr (3 shared papers)Jun Wang (3 shared papers)Daniel Tietze (2 shared papers)Jean Baum (6 shared papers)Keith J. Fritzsching (1 shared paper)WY Cheung (3 shared papers)
- Journals
- Journal of the American Chemical Society (3 papers)British Poultry Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)General and Comparative Endocrinology (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Jonathan K. Williams
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Spectroscopy 310
- Biophysics 84
- Animal Science and Zoology 122
- Molecular Biology 410
- Nuclear and High Energy Physics 65
Countries citing papers authored by Jonathan K. Williams
This map shows the geographic impact of Jonathan K. Williams'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 Jonathan K. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan K. Williams more than expected).
Fields of papers citing papers by Jonathan K. Williams
This network shows the impact of papers produced by Jonathan K. Williams. 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 Jonathan K. Williams. The network helps show where Jonathan K. Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan K. Williams, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 111 | |
| 2 | 2017 | 96 | |
| 3 | 2013 | 65 | |
| 4 | 2013 | 62 | |
| 5 | 2012 | 62 | |
| 6 | 2014 | 59 | |
| 7 | 2003 | 57 | |
| 8 | 2009 | 54 | |
| 9 | 2016 | 49 | |
| 10 | 2008 | 48 | |
| 11 | 1964 | 40 | |
| 12 | 2021 | 34 | |
| 13 | 2005 | 34 | |
| 14 | 2014 | 33 | |
| 15 | 2006 | 32 | |
| 16 | 1996 | 31 | |
| 17 | 2001 | 30 | |
| 18 | 1993 | 30 | |
| 19 | 1988 | 29 | |
| 20 | 1994 | 26 |
About Jonathan K. Williams
Jonathan K. Williams is a scholar working on Spectroscopy, Molecular Biology, Materials Chemistry, Animal Science and Zoology and Neurology, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (10 papers), Solid-state spectroscopy and crystallography (6 papers), Animal Nutrition and Physiology (5 papers), Protein Structure and Dynamics (4 papers), Alzheimer's disease research and treatments (3 papers), Livestock and Poultry Management (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Electron Spin Resonance Studies (2 papers). The work is most often cited by research in Spectroscopy (310 citations), Biophysics (84 citations), Animal Science and Zoology (122 citations), Molecular Biology (410 citations) and Nuclear and High Energy Physics (65 citations). Jonathan K. Williams has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Mei Hong, Venkata S. Mandala, Klaus Schmidt‐Rohr, Jun Wang, Daniel Tietze, Jean Baum, Keith J. Fritzsching, WY Cheung, I T Russell and Yuan Zhang. Their work appears in journals such as Journal of the American Chemical Society, British Poultry Science, Proceedings of the National Academy of Sciences, General and Comparative Endocrinology and Scientific Reports.
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.