Stephen A. Williams

4.4k citations
62 papers · 2.3k · h-index 28

Impact in

Papers in

Stephen A. Williams

57 papers receiving 2.1k citations

Peers

Stephen A. Williams
Comparison fields: 5 of 140
  • Spectroscopy 188
  • Biological Psychiatry 25
  • Molecular Biology 722
  • Aging 18
  • Cellular and Molecular Neuroscience 183
Replace Gerhard Mall with:
Gerhard Mall Germany
Qun Liu China
John C. Panetta United States
Matteo Ferro Italy
Paul Schaefer United States
Yōichirō Takahashi Japan
Robin Young United Kingdom
Gordon W. Stewart United Kingdom
Cláudia Rossi Italy
Brooke L. Fridley United States
Stephen A. Williams relative to Gerhard Mall Germany Gerhard Mall's profile →
Citations per field
00.5×4.5×
Gerhard Mall · 1×
Citations per year

Countries citing papers authored by Stephen A. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016199
2 2011169
3 2010163
4 2002130
5 2021106
6 2012103
7 201596
8 199983
9 201183
10 202075
11 201461
12 201257
13 197857
14 202256
15 199955
16 197355
17 200550
18 197647
19 202046
20 198245

About Stephen A. Williams

Stephen A. Williams is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Surgery and Public Health, Environmental and Occupational Health, having authored 62 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Advanced Mathematical Modeling in Engineering (4 papers), Computational Drug Discovery Methods (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Nonlinear Partial Differential Equations (3 papers), GDF15 and Related Biomarkers (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Spectroscopy (188 citations), Biological Psychiatry (25 citations), Molecular Biology (722 citations), Aging (18 citations) and Cellular and Molecular Neuroscience (183 citations). Stephen A. Williams has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jeffrey J. Walker, Larry Gold, Rachel Ostroff, Sheri K. Wilcox, Peter Ganz, Alexandre F.R. Stewart, Kristian Hveem, Edward N. Brody, Shintaro Kato and Bettina Heidecker. Their work appears in journals such as Nature Communications, Circulation, PLoS ONE, Nature Reviews Drug Discovery and Diabetes Care.

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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