Jeffrey G. Supko
- Oncology top 0.1%
- Molecular Biology top 0.5%
- Pulmonary and Respiratory Medicine top 0.1%
- Cancer Research top 0.5%
- Genetics top 0.5%
- Co-authors
- Thomas J. LynchFrank G. HaluskaDaniel A. HaberDavid N. LouisDavid C. ChristianiBrian W. BranniganSara M. HaserlatRaffaella Sordella
- Topics
- Glioma Diagnosis and Treatment (37 papers)Cancer therapeutics and mechanisms (36 papers)Cancer Treatment and Pharmacology (29 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Jeffrey G. Supko
188 papers receiving 15.7k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Oncology 7.6k
- Molecular Biology 7.4k
- Pulmonary and Respiratory Medicine 7.3k
- Cancer Research 2.9k
- Genetics 1.1k
Countries citing papers authored by Jeffrey G. Supko
This map shows the geographic impact of Jeffrey G. Supko'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 Jeffrey G. Supko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey G. Supko more than expected).
Fields of papers citing papers by Jeffrey G. Supko
This network shows the impact of papers produced by Jeffrey G. Supko. 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 Jeffrey G. Supko. The network helps show where Jeffrey G. Supko may publish in the future.
Co-authorship network of co-authors of Jeffrey G. Supko
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey G. Supko. A scholar is included among the top collaborators of Jeffrey G. Supko 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 Jeffrey G. Supko. Jeffrey G. Supko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 23 | |
| 4 | 13 | |
| 5 | 37 | |
| 6 | 38 | |
| 7 | 55 | |
| 8 | 26 | |
| 9 | 227 | |
| 10 | 197 | |
| 11 | 144 | |
| 12 | Phase I trial with a novel orally administered synthetic triterpenoid RTA 402 (CDDO-Me) in patients with solid tumors and lymphoid malignancies | 4 |
| 13 | 44 | |
| 14 | 8 | |
| 15 | 21 | |
| 16 | 11 | |
| 17 | 42 | |
| 18 | 55 | |
| 19 | 25 | |
| 20 | Studies on the metabolism of merbarone in man / | 1 |
About Jeffrey G. Supko
Jeffrey G. Supko is a scholar working on Genetics, Oncology and Hematology, having authored 192 papers that have together received 16.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (37 papers), Cancer therapeutics and mechanisms (36 papers) and Cancer Treatment and Pharmacology (29 papers). The work is most often cited by research in Oncology (7.6k citations), Pulmonary and Respiratory Medicine (7.3k citations) and Cancer Research (2.9k citations). Jeffrey G. Supko has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Thomas J. Lynch, Frank G. Haluska, Daniel A. Haber, David N. Louis, David C. Christiani, Brian W. Brannigan, Sara M. Haserlat, Raffaella Sordella, Sarada Gurubhagavatula and Patricia L. Harris. Their work appears in journals such as Science, New England Journal of Medicine 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.