Scott Williams

7.4k citations
106 papers · 5.9k · h-index 46

Impact in

Papers in

    • Protein Tyrosine Phosphatases 23
    • Ubiquitin and proteasome pathways 7
    • Galectins and Cancer Biology 14
    • T-cell and B-cell Immunology 9

Scott Williams

105 papers receiving 5.8k citations

Peers

Scott Williams
Comparison fields: 5 of 140
  • Developmental Neuroscience 317
  • Cell Biology 1.3k
  • Immunology 1.3k
  • Molecular Biology 3.5k
  • Animal Science and Zoology 460
Replace Choji Taya with:
Choji Taya Japan
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Izumu Saito Japan
Heinz Arnheiter United States
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Abdullah Yalçın United States
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Peder Madsen Denmark
Parmjit Jat United Kingdom
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Scott Williams relative to Choji Taya Japan Choji Taya's profile →
Citations per field
00.5×3.5×
Choji Taya · 1×
Citations per year

Countries citing papers authored by Scott Williams

Since Specialization
Citations

This map shows the geographic impact of Scott 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 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 Williams more than expected).

Fields of papers citing papers by Scott Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Scott 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 Williams Line = papers co-authored together Scott Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011326
2 2011260
3 2003251
4 2000213
5 2005203
6 1999183
7 1999163
8 2010162
9 2001135
10 2011129
11 1999124
12 2008108
13 2014102
14 199797
15 200797
16 200093
17 200292
18 199791
19 200890
20 200490

About Scott Williams

Scott Williams is a scholar working on Molecular Biology, Immunology, Animal Science and Zoology, Cell Biology and Oncology, having authored 106 papers that have together received 5.9k 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), Ubiquitin and proteasome pathways (7 papers), Cytokine Signaling Pathways and Interactions (7 papers), Axon Guidance and Neuronal Signaling (7 papers) and Cellular Mechanics and Interactions (7 papers). The work is most often cited by research in Developmental Neuroscience (317 citations), Cell Biology (1.3k citations), Immunology (1.3k citations), Molecular Biology (3.5k citations) and Animal Science and Zoology (460 citations). Scott Williams has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Tomas Mustelin, Elaine Fuchs, Manju Saxena, H. Amalia Pasolli, Slobodan Beronja, Carol A. 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, Development, European Journal of Immunology and Molecular and Cellular 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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