Gene M. Shearer

17.2k citations
197 papers · 13.3k indexed · 3 hit papers · h-index 52
Topics
Immune Cell Function and Interaction (98 papers)HIV Research and Treatment (97 papers)T-cell and B-cell Immunology (45 papers)

In The Last Decade

Gene M. Shearer

195 papers receiving 12.6k citations

Hit Papers

Frequent Detection and Isolation of Cytopathic Retrovirus...198420261998201219841993199550010001.5k2.0k2.5k

Peers

Gene M. Shearer
Comparison fields: 5 of 155
  • Immunology 7.3k
  • Virology 5.9k
  • Epidemiology 3.1k
  • Infectious Diseases 3.0k
  • Molecular Biology 2.1k
Replace Andrew A. Lackner with:
Andrew A. Lackner United States
David Klatzmann France
Joseph M. McCune United States
G M Shearer United States
Kendall A. Smith United States
Suzanne M. Crowe Australia
Patrice Debré France
Rafick‐Pierre Sékaly United States
Roger J. Pomerantz United States
Janice E. Clements United States
Gene M. Shearer relative to Andrew A. Lackner United States Andrew A. Lackner's profile →
Citations per field
00.5×1.5×
Andrew A. Lackner · 1×
Citations per year

Countries citing papers authored by Gene M. Shearer

Since Specialization
Citations

This map shows the geographic impact of Gene 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 Gene 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 Gene M. Shearer more than expected).

Fields of papers citing papers by Gene M. Shearer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene M. Shearer

This figure shows the co-authorship network connecting the top 25 collaborators of Gene M. Shearer. A scholar is included among the top collaborators of Gene 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 Gene M. Shearer. Gene 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 39
2 68
3 46
4 110
5 241
6 285
7 33
8 16
9 15
10 46
11 3
12 34
13 108
14 46
15 9
16 9
17 25
18 10
19 14
20 105

About Gene M. Shearer

Gene M. Shearer is a scholar working on Virology, Immunology and Biological Psychiatry, having authored 197 papers that have together received 13.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (98 papers), HIV Research and Treatment (97 papers) and T-cell and B-cell Immunology (45 papers). The work is most often cited by research in Virology (5.9k citations), Immunology (7.3k citations) and Biological Psychiatry (498 citations). Gene M. Shearer has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Mario Clerici, Adriano Boasso, Robert C. Gallo, Phillip D. Markham, Syed Zaki Salahuddin, Mikuláš Popovič, Barton F. Haynes, James M. Oleske, T J Palker and Paul S. Foster. 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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