Sean T. Glenn
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Oncology top 10%
- Cancer Research top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Kenneth W. GrossCarl MorrisonJeffrey M. ConroyJianmin WangCraig A. JonesJeffrey W. PippinStuart J. ShanklandEduardo Cortes Gomez
- Topics
- Cancer Immunotherapy and Biomarkers (22 papers)Cancer Genomics and Diagnostics (17 papers)Immunotherapy and Immune Responses (11 papers)
- Cited by
- NephrologyCancer ResearchOncology
- Journals
- Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesFranceJapan
In The Last Decade
Sean T. Glenn
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 551
- Pulmonary and Respiratory Medicine 356
- Oncology 318
- Cancer Research 255
- Cardiology and Cardiovascular Medicine 158
Countries citing papers authored by Sean T. Glenn
This map shows the geographic impact of Sean T. Glenn'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 Sean T. Glenn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean T. Glenn more than expected).
Fields of papers citing papers by Sean T. Glenn
This network shows the impact of papers produced by Sean T. Glenn. 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 Sean T. Glenn. The network helps show where Sean T. Glenn may publish in the future.
Co-authorship network of co-authors of Sean T. Glenn
This figure shows the co-authorship network connecting the top 25 collaborators of Sean T. Glenn. A scholar is included among the top collaborators of Sean T. Glenn 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 Sean T. Glenn. Sean T. Glenn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 24 | |
| 6 | 16 | |
| 7 | 93 | |
| 8 | 3 | |
| 9 | 56 | |
| 10 | 58 | |
| 11 | 152 | |
| 12 | 8 | |
| 13 | 20 | |
| 14 | 13 | |
| 15 | 115 | |
| 16 | 13 | |
| 17 | 27 | |
| 18 | 30 | |
| 19 | 16 | |
| 20 | 16 |
About Sean T. Glenn
Sean T. Glenn is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (22 papers), Cancer Genomics and Diagnostics (17 papers) and Immunotherapy and Immune Responses (11 papers). The work is most often cited by research in Nephrology (123 citations), Cancer Research (255 citations) and Oncology (318 citations). Sean T. Glenn has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Kenneth W. Gross, Carl Morrison, Jeffrey M. Conroy, Jianmin Wang, Craig A. Jones, Jeffrey W. Pippin, Stuart J. Shankland, Eduardo Cortes Gomez, Jeremy S. Duffield and Qiang Hu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.