Gregory W. Warr

9.2k total citations
174 papers, 7.2k citations indexed

About

Gregory W. Warr is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gregory W. Warr has authored 174 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Immunology, 69 papers in Molecular Biology and 46 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gregory W. Warr's work include Aquaculture disease management and microbiota (57 papers), Monoclonal and Polyclonal Antibodies Research (46 papers) and T-cell and B-cell Immunology (39 papers). Gregory W. Warr is often cited by papers focused on Aquaculture disease management and microbiota (57 papers), Monoclonal and Polyclonal Antibodies Research (46 papers) and T-cell and B-cell Immunology (39 papers). Gregory W. Warr collaborates with scholars based in United States, Australia and China. Gregory W. Warr's co-authors include Paul S. Gross, Robert Chapman, Craig L. Browdy, Melanie R. Wilson, Norman W. Miller, L. William Clem, Melanie Wilson, David Higgins, Katharine E. Magor and Darlene L. Middleton and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gregory W. Warr

173 papers receiving 6.8k citations

Peers

Gregory W. Warr
Comparison fields: 5 of 135
  • Immunology 5.2k
  • Molecular Biology 2.0k
  • Radiology, Nuclear Medicine and Imaging 863
  • Aquatic Science 758
  • Microbiology 722
Replace Gary W. Litman with:
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L. William Clem United States
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Gary W. Litman United States View profile →
Citations per field, relative to Gregory W. Warr
Gregory W. Warr · 1×
Citations per year, relative to Gregory W. Warr
Gregory W. Warr · 1×

Countries citing papers authored by Gregory W. Warr

Since Specialization
Citations

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

Fields of papers citing papers by Gregory W. Warr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory W. Warr

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory W. Warr. A scholar is included among the top collaborators of Gregory W. Warr 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 W. Warr. Gregory W. Warr 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 20
2 47
3 30
4 2
5 190
6 9
7 63
8 88
9 4
10 86
11 475
12 84
13 3
14 36
15 96
16 13
17 116
18
Antibody as a tool : the applications of immunochemistry
1
19 14
20
Activity of the reticuloendothelial system and the antibody response. II. Effect of stilboestrol on the immune response to sheep erythrocytes in the mouse.
21

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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