Jerome S. Burke
- Pathology and Forensic Medicine top 0.1%
- Oncology top 1%
- Genetics top 0.5%
- Neurology top 1%
- Immunology top 2%
- Co-authors
- Khalil SheibaniHenry RappaportHenry S. KaplanJames J. ButlerCarl D. WinbergRichard T. HoppeSaul A. RosenbergGérard Simon
- Topics
- Lymphoma Diagnosis and Treatment (56 papers)Chronic Lymphocytic Leukemia Research (27 papers)Viral-associated cancers and disorders (22 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Oncology
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jerome S. Burke
86 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 111
- Pathology and Forensic Medicine 3.3k
- Oncology 2.0k
- Genetics 1.6k
- Neurology 1.0k
- Immunology 993
Countries citing papers authored by Jerome S. Burke
This map shows the geographic impact of Jerome S. Burke'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 Jerome S. Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerome S. Burke more than expected).
Fields of papers citing papers by Jerome S. Burke
This network shows the impact of papers produced by Jerome S. Burke. 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 Jerome S. Burke. The network helps show where Jerome S. Burke may publish in the future.
Co-authorship network of co-authors of Jerome S. Burke
This figure shows the co-authorship network connecting the top 25 collaborators of Jerome S. Burke. A scholar is included among the top collaborators of Jerome S. Burke 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 Jerome S. Burke. Jerome S. Burke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 221 | |
| 2 | 27 | |
| 3 | 18 | |
| 4 | 37 | |
| 5 | 39 | |
| 6 | 8 | |
| 7 | 15 | |
| 8 | 61 | |
| 9 | 10 | |
| 10 | 227 | |
| 11 | 74 | |
| 12 | 111 | |
| 13 | 15 | |
| 14 | 48 | |
| 15 | 25 | |
| 16 | 7 | |
| 17 | 19 | |
| 18 | 108 | |
| 19 | Histologic criteria for distinguishing between benign and malignant extranodal lymphoid infiltrates. | 17 |
| 20 | 4 |
About Jerome S. Burke
Jerome S. Burke is a scholar working on Pathology and Forensic Medicine, Genetics and Dermatology, having authored 86 papers that have together received 5.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (56 papers), Chronic Lymphocytic Leukemia Research (27 papers) and Viral-associated cancers and disorders (22 papers). The work is most often cited by research in Pathology and Forensic Medicine (3.3k citations), Genetics (1.6k citations) and Dermatology (664 citations). Jerome S. Burke has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Khalil Sheibani, Henry Rappaport, Henry S. Kaplan, James J. Butler, Carl D. Winberg, Richard T. Hoppe, Saul A. Rosenberg, Gérard Simon, Thomas V. Colby and John G. Krikorian. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.
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.