Richard E Williams

39 papers receiving 3.2k citations

Richard E Williams's Hit Papers

An SCN9A channelopathy causes congenital inability to experience pain 2006 · 1.3k citations
1.3k0+6+13Years since publication4008001.2k

Peers

Richard E Williams
Comparison fields: 5 of 128
  • Physiology 336
  • Molecular Biology 669
  • Pharmaceutical Science 54
  • Microbiology 42
  • Biotechnology 35
Replace Dean G. Brown with:
Dean G. Brown United States
Tian Liu China
Nicole J. Yang United States
Markus Muttenthaler Australia
Paul R. Lockman United States
David C. Swinney United States
Jianing Li China
Xuejun Liu China
Stuart J. Conway United Kingdom
Iwan J. P. de Esch Netherlands
Richard E Williams relative to Dean G. Brown United States Dean G. Brown's profile →
Citations per field
00.5×2×4×6×8.8×
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Citations per year

Countries citing papers authored by Richard E Williams

Since Specialization
Citations

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

Fields of papers citing papers by Richard E Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Richard 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 Richard E Williams Line = papers co-authored together Richard 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An SCN9A channelopathy causes congenital inability to experience pain
Hit paper breakdown →
20061283
2 1989293
3 2006287
4 2002234
5 2018182
6 1988176
7 2004162
8 199475
9 196663
10 200051
11 198747
12 200147
13 196543
14 198340
15 198439
16 200239
17 201138
18 201938
19 198934
20 198530

About Richard E Williams

Richard E Williams is a scholar working on Biotechnology, Safety Research, Genetics, Microbiology and Gastroenterology, having authored 39 papers that have together received 3.4k indexed citations. Recurring topics across this work include Career Development and Diversity (2 papers), Enzyme Production and Characterization (2 papers), Estrogen and related hormone effects (2 papers), Chemical Reaction Mechanisms (2 papers), Antimicrobial Peptides and Activities (1 paper), Genomics and Rare Diseases (1 paper), Biofuel production and bioconversion (1 paper) and Heart Rate Variability and Autonomic Control (1 paper). The work is most often cited by research in Physiology (336 citations), Molecular Biology (669 citations), Pharmaceutical Science (54 citations), Microbiology (42 citations) and Biotechnology (35 citations). Richard E Williams has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Neil C. Bruce, Kevin R. Murphy, Jeanette N. Cleveland, Shaun Gorman, Emma Roberts, Adeline K. Nicholas, Christopher Geoffrey Woods, James J. Cox, Gulshan Karbani and Kelly Springell. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Immunology, Canadian Journal of Microbiology, Journal of Biological Chemistry and Journal of Vocational Behavior.

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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