Mitchell Keegan
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
- Oncology 15
- Cancer Cells and Metastasis 4
- Cancer Treatment and Pharmacology 3
- HER2/EGFR in Cancer Research 3
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- Angiogenesis and VEGF in Cancer 4
- Co-authors
- Susan Bonner‐Weir (4 shared papers)Gordon C. Weir (4 shared papers)Jennifer Hollister‐Lock (3 shared papers)Nitin Trivedi (2 shared papers)Mahesh V. Padval (7 shared papers)Ling Yin (1 shared paper)Jing Wang (1 shared paper)Xu Tao (1 shared paper)
- Journals
- Journal of Clinical Oncology (8 papers)Cancer Research (4 papers)Molecular Cancer Therapeutics (1 paper)Endocrinology (1 paper)Lung Cancer (1 paper)
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
Mitchell Keegan
22 papers receiving 787 citations
Peers
Comparison fields: 5 of 79
- Immunology and Allergy 98
- Oncology 252
- Endocrinology, Diabetes and Metabolism 105
- Molecular Biology 409
- Cancer Research 66
Countries citing papers authored by Mitchell Keegan
This map shows the geographic impact of Mitchell Keegan'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 Mitchell Keegan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Keegan more than expected).
Fields of papers citing papers by Mitchell Keegan
This network shows the impact of papers produced by Mitchell Keegan. 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 Mitchell Keegan. The network helps show where Mitchell Keegan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell Keegan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 182 | |
| 2 | 2019 | 111 | |
| 3 | 2007 | 90 | |
| 4 | 2016 | 79 | |
| 5 | 2001 | 64 | |
| 6 | 2001 | 64 | |
| 7 | 2003 | 47 | |
| 8 | 2021 | 37 | |
| 9 | 2019 | 25 | |
| 10 | 2014 | 24 | |
| 11 | 2004 | 22 | |
| 12 | 2008 | 20 | |
| 13 | 2019 | 9 | |
| 14 | 2014 | 5 | |
| 15 | 2010 | 5 | |
| 16 | 2014 | 4 | |
| 17 | 2013 | 3 | |
| 18 | 2012 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2013 | 2 |
About Mitchell Keegan
Mitchell Keegan is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Genetics, having authored 22 papers that have together received 802 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Cancer Cells and Metastasis (4 papers), Diabetes and associated disorders (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer Treatment and Pharmacology (3 papers), HER2/EGFR in Cancer Research (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Immunology and Allergy (98 citations), Oncology (252 citations), Endocrinology, Diabetes and Metabolism (105 citations), Molecular Biology (409 citations) and Cancer Research (66 citations). Mitchell Keegan has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Susan Bonner‐Weir, Gordon C. Weir, Jennifer Hollister‐Lock, Nitin Trivedi, Mahesh V. Padval, Ling Yin, Jing Wang, Xu Tao, William E. Munger and Cheng-Jung Lai. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Molecular Cancer Therapeutics, Endocrinology and Lung Cancer.
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.