Stephen Ferguson

104 papers receiving 5.0k citations

Peers

Stephen Ferguson
Comparison fields: 5 of 156
  • Pharmacology 1.6k
  • Health, Toxicology and Mutagenesis 1.1k
  • Chemical Health and Safety 44
  • Small Animals 460
  • Biochemistry 291
Replace Bas J. Blaauboer with:
Bas J. Blaauboer Netherlands
Menghang Xia United States
Ruili Huang United States
Edward L. LeCluyse United States
Albert P. Li United States
J. Christopher Corton United States
Ruth Roberts United Kingdom
John R. Foster United Kingdom
André Guillouzo France
Jeffrey W. Fisher United States
Stephen Ferguson relative to Bas J. Blaauboer Netherlands Bas J. Blaauboer's profile →
Citations per field
00.5×3.1×
Bas J. Blaauboer · 1×
Citations per year

Countries citing papers authored by Stephen Ferguson

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011322
2 2009268
3 2013216
4 2010188
5 2015187
6 2003180
7 2004164
8 2005157
9 2003139
10 1998133
11 2007128
12 2004124
13 2002122
14 2000119
15 2017112
16 2017103
17 2002102
18 2002102
19 200499
20 201397

About Stephen Ferguson

Stephen Ferguson is a scholar working on Pharmacology, Molecular Biology, Health, Toxicology and Mutagenesis, Oncology and Computational Theory and Mathematics, having authored 108 papers that have together received 5.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (38 papers), Effects and risks of endocrine disrupting chemicals (16 papers), Computational Drug Discovery Methods (12 papers), Drug Transport and Resistance Mechanisms (11 papers), Drug-Induced Hepatotoxicity and Protection (11 papers), Carcinogens and Genotoxicity Assessment (9 papers), Hormonal Regulation and Hypertension (9 papers) and Liver physiology and pathology (8 papers). The work is most often cited by research in Pharmacology (1.6k citations), Health, Toxicology and Mutagenesis (1.1k citations), Chemical Health and Safety (44 citations), Small Animals (460 citations) and Biochemistry (291 citations). Stephen Ferguson has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Joyce A. Goldstein, Edward L. LeCluyse, Masahiko Negishi, Barbara A. Wetmore, Yuping Chen, Jonathan P. Jackson, John F. Wambaugh, Jennifer L. Seachrist, Russell S. Thomas and Richard Judson. Their work appears in journals such as Toxicological Sciences, Journal of Biological Chemistry, Molecular Pharmacology, Drug Metabolism and Disposition and Toxicology and Applied Pharmacology.

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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