Gregory W. Warr
- Immunology top 0.2%
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Aquatic Science top 0.5%
- Microbiology top 0.5%
- Co-authors
- Paul S. GrossRobert ChapmanCraig L. BrowdyMelanie R. WilsonNorman W. MillerL. William ClemMelanie WilsonDavid Higgins
- Topics
- Aquaculture disease management and microbiota (57 papers)Monoclonal and Polyclonal Antibodies Research (46 papers)T-cell and B-cell Immunology (39 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Gregory W. Warr
173 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 135
- Immunology 5.2k
- Molecular Biology 2.0k
- Radiology, Nuclear Medicine and Imaging 863
- Aquatic Science 758
- Microbiology 722
Countries citing papers authored by Gregory W. Warr
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
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
| # | 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 |
About Gregory W. Warr
Gregory W. Warr is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Microbiology, having authored 174 papers that have together received 7.2k indexed citations. Recurring topics across this 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). The work is most often cited by research in Immunology (5.2k citations), Microbiology (722 citations) and Aquatic Science (758 citations). Gregory W. Warr has collaborated with scholars based in United States, Australia and China. Frequent 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. 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.