Jonathan K. Williams
- Molecular Biology
- Spectroscopy top 5%
- Epidemiology
- Animal Science and Zoology top 5%
- Materials Chemistry
- Co-authors
- Mei HongVenkata S. MandalaKlaus Schmidt‐RohrJun WangJean BaumKeith J. FritzschingDaniel TietzeWY Cheung
- Topics
- Advanced NMR Techniques and Applications (10 papers)Solid-state spectroscopy and crystallography (6 papers)Animal Nutrition and Physiology (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Jonathan K. Williams
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 406
- Spectroscopy 303
- Epidemiology 136
- Animal Science and Zoology 125
- Materials Chemistry 117
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-authorship network of co-authors of Jonathan K. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan K. Williams. A scholar is included among the top collaborators of Jonathan K. Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan K. Williams. Jonathan K. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 34 | |
| 4 | 21 | |
| 5 | 16 | |
| 6 | 24 | |
| 7 | 20 | |
| 8 | 19 | |
| 9 | 59 | |
| 10 | 33 | |
| 11 | 60 | |
| 12 | 61 | |
| 13 | 54 | |
| 14 | 24 | |
| 15 | 48 | |
| 16 | 34 | |
| 17 | 21 | |
| 18 | 30 | |
| 19 | 29 | |
| 20 | 2 |
About Jonathan K. Williams
Jonathan K. Williams is a scholar working on Spectroscopy, Animal Science and Zoology and Biophysics, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (10 papers), Solid-state spectroscopy and crystallography (6 papers) and Animal Nutrition and Physiology (5 papers). The work is most often cited by research in Spectroscopy (303 citations), Biophysics (84 citations) and Animal Science and Zoology (125 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, Jean Baum, Keith J. Fritzsching, Daniel Tietze, WY Cheung, O.M. Onagbesan and I T Russell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.