G M Shearer

14.4k citations
189 papers · 11.8k indexed · 7 hit papers · h-index 52
Topics
Immune Cell Function and Interaction (69 papers)HIV Research and Treatment (40 papers)T-cell and B-cell Immunology (40 papers)
Partner nations
United StatesIsraelItaly

In The Last Decade

G M Shearer

184 papers receiving 11.0k citations

Hit Papers

Modulation of Inflammation and Immunity by Cyclic AMP197420261991200819741986198919961991200400600

Peers

G M Shearer
Comparison fields: 5 of 140
  • Immunology 7.1k
  • Virology 3.0k
  • Epidemiology 2.5k
  • Molecular Biology 1.8k
  • Infectious Diseases 1.6k
Replace Kendall A. Smith with:
Kendall A. Smith United States
Vincenzo Cerundolo United Kingdom
Kevin W. Moore United States
Manfred P. Dierich Austria
Patrice Debré France
Gene M. Shearer United States
Susan L. Swain United States
Michael B. A. Oldstone United States
Timothy R. Mosmann Canada
Barry T. Rouse United States
G M Shearer relative to Kendall A. Smith United States Kendall A. Smith's profile →
Citations per field
00.5×1.5×
Kendall A. Smith · 1×
Citations per year

Countries citing papers authored by G M Shearer

Since Specialization
Citations

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

Fields of papers citing papers by G M Shearer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G M Shearer. 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 G M Shearer. The network helps show where G M Shearer may publish in the future.

Co-authorship network of co-authors of G M Shearer

This figure shows the co-authorship network connecting the top 25 collaborators of G M Shearer. A scholar is included among the top collaborators of G M Shearer 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 G M Shearer. G M Shearer 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 23
2 34
3 67
4 206
5 112
6 87
7 26
8 128
9 21
10 12
11 14
12 29
13 75
14 10
15 31
16 42
17 51
18 26
19 30
20 41

About G M Shearer

G M Shearer is a scholar working on Virology, Immunology and Biological Psychiatry, having authored 189 papers that have together received 11.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (69 papers), HIV Research and Treatment (40 papers) and T-cell and B-cell Immunology (40 papers). The work is most often cited by research in Virology (3.0k citations), Immunology (7.1k citations) and Parasitology (810 citations). G M Shearer has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Mario Clerici, Daniel R. Lucey, Charles S. Via, Gustavo Cudkowicz, Kenneth L. Melmon, Yacob Weinstein, Edna Mozes, Henry R. Bourne, Ricardo T. Gazzinelli and Alan Sher. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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