Gavin C. Hirst

1.5k citations
23 papers · 731 indexed · h-index 15
Topics
Immune Cell Function and Interaction (4 papers)Cytokine Signaling Pathways and Interactions (4 papers)Signaling Pathways in Disease (3 papers)

In The Last Decade

Gavin C. Hirst

23 papers receiving 686 citations

Peers

Gavin C. Hirst
Comparison fields: 5 of 73
  • Molecular Biology 315
  • Organic Chemistry 298
  • Oncology 166
  • Cellular and Molecular Neuroscience 95
  • Immunology 85
Replace Roland Feifel with:
Roland Feifel Switzerland
GR Pettit United States
Xihan Wu China
Kathleen M. Gillooly United States
Toshiya Tamura Japan
Clive McCarthy United Kingdom
Neng‐Yang Shih United States
Claudia Ruiz United States
Rosanna Tedesco United States
Robin A. Fairhurst United Kingdom
Gavin C. Hirst relative to Roland Feifel Switzerland Roland Feifel's profile →
Citations per field
00.5×1.5×
Roland Feifel · 1×
Citations per year

Countries citing papers authored by Gavin C. Hirst

Since Specialization
Citations

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

Fields of papers citing papers by Gavin C. Hirst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin C. Hirst. 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 Gavin C. Hirst. The network helps show where Gavin C. Hirst may publish in the future.

Co-authorship network of co-authors of Gavin C. Hirst

This figure shows the co-authorship network connecting the top 25 collaborators of Gavin C. Hirst. A scholar is included among the top collaborators of Gavin C. Hirst 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 Gavin C. Hirst. Gavin C. Hirst 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
#WorkIndexed citations
1 11
2 64
3 9
4 17
5 63
6 45
7 30
8 9
9 5
10 18
11 48
12 1
13
Lck inhibitors as a therapeutic approach to autoimmune disease and transplant rejection.
16
14 40
15 63
16 3
17 31
18 3
19 106
20 16

About Gavin C. Hirst

Gavin C. Hirst is a scholar working on Toxicology, Organic Chemistry and Physiology, having authored 23 papers that have together received 731 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Organic Chemistry (298 citations), Oncology (166 citations) and Toxicology (19 citations). Gavin C. Hirst has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Larry E. Overman, Theodore Johnson, David J. Calderwood, Andrew Burchat, Biqin Li, Robert F. Stachlewitz, S Ratnofsky, David W. Borhani, Paul Rafferty and Kennedy L. Queen. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

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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