John C. Williams

6.1k total citations · 1 hit paper
113 papers, 4.4k citations indexed

About

John C. Williams is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, John C. Williams has authored 113 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 25 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Oncology. Recurrent topics in John C. Williams's work include Monoclonal and Polyclonal Antibodies Research (19 papers), Microtubule and mitosis dynamics (16 papers) and Advanced NMR Techniques and Applications (12 papers). John C. Williams is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (19 papers), Microtubule and mitosis dynamics (16 papers) and Advanced NMR Techniques and Applications (12 papers). John C. Williams collaborates with scholars based in United States, United Kingdom and Germany. John C. Williams's 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. Palmer and Matthew W. Kelley and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

John C. Williams

110 papers receiving 4.3k citations

Hit Papers

Vascular Development in the Retina and Inner Ear 2004 2026 2011 2018 2004 200 400 600

Peers

John C. Williams
Comparison fields: 5 of 160
  • Molecular Biology 2.7k
  • Cell Biology 799
  • Spectroscopy 423
  • Radiology, Nuclear Medicine and Imaging 389
  • Cellular and Molecular Neuroscience 373
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Citations per field, relative to John C. Williams
John C. Williams · 1×
Citations per year, relative to John C. Williams
John C. Williams · 1×

Countries citing papers authored by John C. Williams

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of John C. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Williams. A scholar is included among the top collaborators of John C. 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 John C. Williams. John C. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 3
4 8
5 1
6 7
7 8
8 4
9 6
10 25
11 11
12 38
13 17
14 7
15 2
16 27
17 101
18 96
19
Design and technology: two cultures or unitary concept?
1
20 105

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.

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