Nancy E. Sealover
Impact in
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- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- PI3K/AKT/mTOR signaling in cancer
- Protein Tyrosine Phosphatases
- Ubiquitin and proteasome pathways
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- Peptidase Inhibition and Analysis
- HER2/EGFR in Cancer Research
Papers in
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- Melanoma and MAPK Pathways 4
- Protein Kinase Regulation and GTPase Signaling 3
- PI3K/AKT/mTOR signaling in cancer 3
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- Lung Cancer Treatments and Mutations 4
- Co-authors
- Robert L. Kortum (10 shared papers)Erin Sheffels (6 shared papers)Deborah K. Morrison (2 shared papers)Elizabeth M. Terrell (2 shared papers)Dominic Esposito (1 shared paper)Daniel A. Ritt (1 shared paper)David Durrant (1 shared paper)John F. Hancock (1 shared paper)
- Journals
- Science Signaling (2 papers)Molecular Oncology (1 paper)Molecular Cell (1 paper)eLife (1 paper)iScience (1 paper)
- Partner nations
- United StatesAustria
In The Last Decade
Nancy E. Sealover
11 papers receiving 215 citations
Peers
Comparison fields: 5 of 46
- Molecular Biology 169
- Oncology 60
- Cancer Research 20
- Toxicology 4
- Pulmonary and Respiratory Medicine 34
Countries citing papers authored by Nancy E. Sealover
This map shows the geographic impact of Nancy E. Sealover'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 Nancy E. Sealover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy E. Sealover more than expected).
Fields of papers citing papers by Nancy E. Sealover
This network shows the impact of papers produced by Nancy E. Sealover. 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 Nancy E. Sealover. The network helps show where Nancy E. Sealover may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy E. Sealover, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 66 | |
| 2 | 2020 | 45 | |
| 3 | 2018 | 41 | |
| 4 | 2019 | 25 | |
| 5 | 2023 | 16 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 2 |
About Nancy E. Sealover
Nancy E. Sealover is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Ecology and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 225 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Lung Cancer Treatments and Mutations (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), HER2/EGFR in Cancer Research (3 papers), Peptidase Inhibition and Analysis (2 papers), Isotope Analysis in Ecology (1 paper) and Marine animal studies overview (1 paper). The work is most often cited by research in Molecular Biology (169 citations), Oncology (60 citations), Cancer Research (20 citations), Toxicology (4 citations) and Pulmonary and Respiratory Medicine (34 citations). Nancy E. Sealover has collaborated with scholars based in United States and Austria. Frequent co-authors include Robert L. Kortum, Erin Sheffels, Deborah K. Morrison, Elizabeth M. Terrell, Dominic Esposito, Daniel A. Ritt, David Durrant, John F. Hancock, Russell Spencer-Smith and Yong Zhou. Their work appears in journals such as Science Signaling, Molecular Oncology, Molecular Cell, eLife and iScience.
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.