Gregory D. Fairn

5.8k total citations
85 papers, 3.9k citations indexed

About

Gregory D. Fairn is a scholar working on Cell Biology, Molecular Biology and Immunology. According to data from OpenAlex, Gregory D. Fairn has authored 85 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cell Biology, 49 papers in Molecular Biology and 22 papers in Immunology. Recurrent topics in Gregory D. Fairn's work include Cellular transport and secretion (37 papers), Lipid Membrane Structure and Behavior (23 papers) and Erythrocyte Function and Pathophysiology (11 papers). Gregory D. Fairn is often cited by papers focused on Cellular transport and secretion (37 papers), Lipid Membrane Structure and Behavior (23 papers) and Erythrocyte Function and Pathophysiology (11 papers). Gregory D. Fairn collaborates with scholars based in Canada, United States and Japan. Gregory D. Fairn's co-authors include Sergio Grinstein, Masashi Maekawa, Christopher R. McMaster, Yanbo Yang, Jason G. Kay, Warren L. Lee, Karen Fung, Spencer A. Freeman, Martin Hermansson and Costin N. Antonescu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Gregory D. Fairn

81 papers receiving 3.9k citations

Peers

Gregory D. Fairn
Comparison fields: 5 of 124
  • Molecular Biology 2.5k
  • Cell Biology 1.5k
  • Immunology 684
  • Physiology 539
  • Surgery 361
Replace Martin Spiess with:
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Masayoshi Fukasawa Japan
Thomas Harder Germany
Tomohiko Taguchi Japan
Ruth Hogue Angeletti United States
Sebastian Schuck Germany
Lennert Janssen Netherlands
Hans‐Peter Hauri Switzerland
Yoshiko Ohno‐Iwashita Japan
Martin Spiess Switzerland View profile →
Citations per field, relative to Gregory D. Fairn
Gregory D. Fairn · 1×
Citations per year, relative to Gregory D. Fairn
Gregory D. Fairn · 1×

Countries citing papers authored by Gregory D. Fairn

Since Specialization
Citations

This map shows the geographic impact of Gregory D. Fairn'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. Fairn 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. Fairn more than expected).

Fields of papers citing papers by Gregory D. Fairn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory D. Fairn. A scholar is included among the top collaborators of Gregory D. Fairn 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. Fairn. Gregory D. Fairn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 1
4 0
5 17
6 14
7 16
8 24
9 69
10 53
11 15
12 139
13 12
14 28
15 26
16 79
17 214
18 47
19 22
20 33

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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