John C. Williams
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Molecular Biology top 5%
- Wnt/β-catenin signaling in development and cancer
- Protein Structure and Dynamics
- Cancer-related gene regulation
- Photosynthetic Processes and Mechanisms
Papers in
- Cell Biology 24
- Microtubule and mitosis dynamics 18
- Cellular transport and secretion 8
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- Glycosylation and Glycoproteins Research 7
- Protein Structure and Dynamics 6
- Co-authors
- Ann E. McDermott (5 shared papers)Jeremy Nathans (8 shared papers)Philip M. Smallwood (5 shared papers)Richard B. Vallee (4 shared papers)Yanshu Wang (3 shared papers)Thomas M. Shinnick (1 shared paper)Michael H. Vodkin (1 shared paper)Dileep Varma (2 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Proceedings of the National Academy of Sciences (7 papers)Tetrahedron Letters (5 papers)Biochemistry (4 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John C. Williams
115 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 146
- Cell Biology 844
- Molecular Biology 2.7k
- Neurology 235
- Spectroscopy 456
- Immunology 477
Countries citing papers authored by John C. Williams
This map shows the geographic impact of John C. 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 John C. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Williams more than expected).
Fields of papers citing papers by John C. Williams
This network shows the impact of papers produced by John C. 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 John C. Williams. The network helps show where John C. Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 732 | |
| 2 | 2003 | 353 | |
| 3 | 2015 | 337 | |
| 4 | 2014 | 280 | |
| 5 | 1988 | 275 | |
| 6 | 1996 | 253 | |
| 7 | 1995 | 133 | |
| 8 | 2007 | 112 | |
| 9 | 2001 | 110 | |
| 10 | 2007 | 109 | |
| 11 | 1998 | 108 | |
| 12 | 2009 | 107 | |
| 13 | 1999 | 99 | |
| 14 | 2005 | 99 | |
| 15 | 2006 | 88 | |
| 16 | 2015 | 79 | |
| 17 | 1995 | 76 | |
| 18 | 2016 | 67 | |
| 19 | 1965 | 67 | |
| 20 | 2019 | 57 |
About John C. Williams
John C. Williams is a scholar working on Cell Biology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Spectroscopy, having authored 122 papers that have together received 5.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (18 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Advanced NMR Techniques and Applications (12 papers), Cellular transport and secretion (8 papers), Glycosylation and Glycoproteins Research (7 papers), Protein Structure and Dynamics (6 papers), CAR-T cell therapy research (5 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Cell Biology (844 citations), Molecular Biology (2.7k citations), Neurology (235 citations), Spectroscopy (456 citations) and Immunology (477 citations). John C. Williams has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ann E. McDermott, Jeremy Nathans, Philip M. Smallwood, Richard B. Vallee, Yanshu Wang, Thomas M. Shinnick, Michael H. Vodkin, Dileep Varma, Arthur G. III Palmer and Matthew W. Kelley. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Tetrahedron Letters, Biochemistry and Journal of Clinical Investigation.
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.