Gary L. Cockerell
- Immunology top 5%
- Agronomy and Crop Science top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Molecular Biology
- Genetics top 10%
- Co-authors
- Joel RovnakSteven KrakowkaWayne A. JensenEdward A. HooverA. KoestnerJane F. MaddoxPatricia E. GaneyRobert A. Roth
- Topics
- T-cell and Retrovirus Studies (20 papers)Animal Disease Management and Epidemiology (14 papers)Vector-Borne Animal Diseases (11 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Gary L. Cockerell
62 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Immunology 595
- Agronomy and Crop Science 382
- Ecology, Evolution, Behavior and Systematics 288
- Molecular Biology 203
- Genetics 186
Countries citing papers authored by Gary L. Cockerell
This map shows the geographic impact of Gary L. Cockerell'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 Gary L. Cockerell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary L. Cockerell more than expected).
Fields of papers citing papers by Gary L. Cockerell
This network shows the impact of papers produced by Gary L. Cockerell. 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 Gary L. Cockerell. The network helps show where Gary L. Cockerell may publish in the future.
Co-authorship network of co-authors of Gary L. Cockerell
This figure shows the co-authorship network connecting the top 25 collaborators of Gary L. Cockerell. A scholar is included among the top collaborators of Gary L. Cockerell 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 Gary L. Cockerell. Gary L. Cockerell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 108 | |
| 3 | 17 | |
| 4 | 20 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 49 | |
| 10 | 35 | |
| 11 | 24 | |
| 12 | 38 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | Establishment and biological properties of a guinea pig colonic adenocarcinoma cell line induced by N-methyl-N-nitrosourea. | 4 |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 3 |
About Gary L. Cockerell
Gary L. Cockerell is a scholar working on Equine, Agronomy and Crop Science and Immunology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (20 papers), Animal Disease Management and Epidemiology (14 papers) and Vector-Borne Animal Diseases (11 papers). The work is most often cited by research in Agronomy and Crop Science (382 citations), Immunology (595 citations) and Virology (112 citations). Gary L. Cockerell has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Joel Rovnak, Steven Krakowka, Wayne A. Jensen, Edward A. Hoover, A. Koestner, Jane F. Maddox, Patricia E. Ganey, Robert A. Roth, R. G. Olsen and David S. Yohn. Their work appears in journals such as Nucleic Acids Research, JNCI Journal of the National Cancer Institute and Journal of Virology.
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.