Kevin Williams

472 total citations
11 papers, 408 citations indexed

About

Kevin Williams is a scholar working on Molecular Biology, Plant Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kevin Williams has authored 11 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kevin Williams's work include Chromosomal and Genetic Variations (4 papers), CRISPR and Genetic Engineering (2 papers) and Protist diversity and phylogeny (2 papers). Kevin Williams is often cited by papers focused on Chromosomal and Genetic Variations (4 papers), CRISPR and Genetic Engineering (2 papers) and Protist diversity and phylogeny (2 papers). Kevin Williams collaborates with scholars based in United States and China. Kevin Williams's co-authors include Glenn Herrick, Thomas G. Doak, Samuel W. Cartinhour, Edward A. Geiser, Jannet F. Lewis, David J. Hunter, D. D. Ang, Alice Lee, Rebecca Sheets and David J. Witherspoon and has published in prestigious journals such as Cell, Genes & Development and The EMBO Journal.

In The Last Decade

Kevin Williams

11 papers receiving 401 citations

Peers

Kevin Williams
Comparison fields: 5 of 44
  • Molecular Biology 295
  • Plant Science 167
  • Ecology 140
  • Surgery 75
  • Hepatology 75
Replace H.‐D. Behnke with:
H.‐D. Behnke Germany
Kouichi Inoue Japan
Stephen Casey Australia
Giordano Bottà United States
S. Koch France
Dai Hua-guo China
Bo Pan China
Sonia Sandhu United States
Diana A. Chernikova United States
Daniel Hupalo United States
H.‐D. Behnke Germany View profile →
Citations per field, relative to Kevin Williams
Kevin Williams · 1×
Citations per year, relative to Kevin Williams
Kevin Williams · 1×

Countries citing papers authored by Kevin Williams

Since Specialization
Citations

This map shows the geographic impact of Kevin 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 Kevin Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Williams more than expected).

Fields of papers citing papers by Kevin Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin 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 Kevin Williams. The network helps show where Kevin Williams may publish in the future.

Co-authorship network of co-authors of Kevin Williams

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 4
2 1
3 2
4 1
5 1
6 94
7 18
8 77
9 49
10 72
11 89

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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2026