Gregory D. Ferguson

1.4k total citations
17 papers, 1.1k citations indexed

About

Gregory D. Ferguson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Gregory D. Ferguson has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in Gregory D. Ferguson's work include Neuroscience and Neuropharmacology Research (7 papers), Cellular transport and secretion (5 papers) and Lipid Membrane Structure and Behavior (3 papers). Gregory D. Ferguson is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Cellular transport and secretion (5 papers) and Lipid Membrane Structure and Behavior (3 papers). Gregory D. Ferguson collaborates with scholars based in United States, Switzerland and United Kingdom. Gregory D. Ferguson's co-authors include Daniel R. Storm, Harvey R. Herschman, Hongbing Wang, Victor V. Pineda, Paige Cundiff, Laura G. Corral, Kristen Jensen-Pergakes, Helen Brady, Dominique Verhelle and Kyle Chan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Gregory D. Ferguson

17 papers receiving 1.1k citations

Peers

Gregory D. Ferguson
Comparison fields: 5 of 100
  • Molecular Biology 596
  • Cellular and Molecular Neuroscience 346
  • Hematology 317
  • Genetics 179
  • Cell Biology 168
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Citations per field, relative to Gregory D. Ferguson
Gregory D. Ferguson · 1×
Citations per year, relative to Gregory D. Ferguson
Gregory D. Ferguson · 1×

Countries citing papers authored by Gregory D. Ferguson

Since Specialization
Citations

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

Fields of papers citing papers by Gregory D. Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory D. Ferguson

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory D. Ferguson. A scholar is included among the top collaborators of Gregory D. Ferguson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregory D. Ferguson. Gregory D. Ferguson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 19
3 75
4 141
5 21
6 49
7 192
8 47
9 196
10 112
11 30
12 30
13 10
14 14
15 88
16 49
17 45

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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