Scott E. Williams

7.5k citations
107 papers · 6.1k · h-index 46

Impact in

Papers in

Scott E. Williams

105 papers receiving 6.0k citations

Peers

Scott E. Williams
Comparison fields: 5 of 141
  • Developmental Neuroscience 336
  • Cell Biology 1.3k
  • Immunology 1.3k
  • Molecular Biology 3.6k
  • Animal Science and Zoology 465
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Choji Taya Japan
Ken‐ichi Yamamura Japan
Heinz Arnheiter United States
Izumu Saito Japan
Ellen A. Garber United States
Achim Leutz Germany
Athar H. Chishti United States
Abdullah Yalçın United States
Peder Madsen Denmark
Parmjit Jat United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Scott E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Scott E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Scott E. Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott E. Williams Line = papers co-authored together Scott E. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011333
2 2003273
3 2011271
4 2000219
5 2005207
6 1999189
7 1999167
8 2010163
9 2001138
10 2011131
11 1999125
12 2008116
13 2014106
14 2007101
15 199799
16 200095
17 199795
18 200294
19 199493
20 200493

About Scott E. Williams

Scott E. Williams is a scholar working on Animal Science and Zoology, Immunology, Cell Biology, Molecular Biology and Oncology, having authored 107 papers that have together received 6.1k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (23 papers), Meat and Animal Product Quality (21 papers), Galectins and Cancer Biology (14 papers), T-cell and B-cell Immunology (9 papers), Axon Guidance and Neuronal Signaling (8 papers), Cytokine Signaling Pathways and Interactions (7 papers), Ubiquitin and proteasome pathways (7 papers) and Animal Nutrition and Physiology (7 papers). The work is most often cited by research in Developmental Neuroscience (336 citations), Cell Biology (1.3k citations), Immunology (1.3k citations), Molecular Biology (3.6k citations) and Animal Science and Zoology (465 citations). Scott E. Williams has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Tomas Mustelin, Elaine V. Fuchs, Manju Saxena, Hilda Amalia Pasolli, Slobodan Beronja, Carol Ann Mason, Clément Couture, Andrés Alonso, Lynda Erskine and Pankaj Tailor. Their work appears in journals such as Journal of Biological Chemistry, Journal of Animal Science, European Journal of Immunology, Development and Nature Cell Biology.

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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