Stephen S. G. Ferguson

17.2k citations
155 papers · 14.3k indexed · 5 hit papers · h-index 60

Stephen S. G. Ferguson

154 papers receiving 14.1k citations

Hit Papers

Evolving Concepts in G Protein-Coupled Receptor Endocytos...1.5k19962026200620164008001.2k

Peers

Stephen S. G. Ferguson
Comparison fields: 5 of 132
  • Cellular and Molecular Neuroscience 7.6k
  • Molecular Biology 11.0k
  • Cell Biology 1.8k
  • Behavioral Neuroscience 299
  • Biological Psychiatry 176
Replace Jean‐Antoine Girault with:
Jean‐Antoine Girault France
Vsevolod V. Gurevich United States
Naoaki Saito Japan
Eugene M. Johnson United States
Johannes Hell United States
Thomas R. Soderling United States
Lloyd A. Greene United States
Jay M. Baraban United States
Sudha K. Shenoy United States
Jürgen Wess United States
Stephen S. G. Ferguson relative to Jean‐Antoine Girault France Jean‐Antoine Girault's profile →
Citations per field
00.5×1.5×
Jean‐Antoine Girault · 1×
Citations per year

Countries citing papers authored by Stephen S. G. Ferguson

Since Specialization
Citations

This map shows the geographic impact of Stephen S. G. 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 S. G. 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 S. G. Ferguson more than expected).

Fields of papers citing papers by Stephen S. G. Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201927
2 201770
3 20169
4 201695
5 201535
6 201331
7 201338
8 20111
9 201074
10 201077
11 200670
12 200675
13 200614
14 2005118
15 200517
16 200428
17 2003171
18 200242
19 200295
20 1998186

About Stephen S. G. Ferguson

Stephen S. G. Ferguson is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Molecular Biology, having authored 155 papers that have together received 14.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (88 papers), Neuroscience and Neuropharmacology Research (68 papers), Protein Kinase Regulation and GTPase Signaling (25 papers), Neuropeptides and Animal Physiology (24 papers), Cellular transport and secretion (16 papers), Genetic Neurodegenerative Diseases (15 papers), Alzheimer's disease research and treatments (15 papers) and Mitochondrial Function and Pathology (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (7.6k citations), Molecular Biology (11.0k citations) and Cell Biology (1.8k citations). Stephen S. G. Ferguson has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Marc G. Caron, Larry S. Barak, Luc Ménard, Jie Zhang, Lianne B. Dale, Fabíola M. Ribeiro, Robert J. Lefkowitz, Stéphane A. Laporte, Pieter H. Anborgh and Louis M. Luttrell. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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