Keisha Hearn
Impact in
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- Heat shock proteins research
- Melanoma and MAPK Pathways
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- ATP Synthase and ATPases Research
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- Computational Drug Discovery Methods
Papers in
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- ATP Synthase and ATPases Research 2
- Cell death mechanisms and regulation 1
- Biochemical and Molecular Research 1
- Cancer therapeutics and mechanisms 1
- Melanoma and MAPK Pathways 1
- Ubiquitin and proteasome pathways 1
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- Lung Cancer Treatments and Mutations 2
- Co-authors
- Nicola G. Wallis (3 shared papers)John F. Lyons (2 shared papers)Tomoko Smyth (3 shared papers)Neil T. Thompson (3 shared papers)Mohammad Azab (1 shared paper)H. Eirik Haarberg (1 shared paper)Kim H.T. Paraiso (1 shared paper)Joanne M. Munck (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (1 paper)British Journal of Cancer (1 paper)Cancer Research (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Keisha Hearn
4 papers receiving 143 citations
Peers
Comparison fields: 5 of 38
- Molecular Biology 122
- Computational Theory and Mathematics 27
- Oncology 38
- Immunology 21
- Cell Biology 16
Countries citing papers authored by Keisha Hearn
This map shows the geographic impact of Keisha Hearn'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 Keisha Hearn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisha Hearn more than expected).
Fields of papers citing papers by Keisha Hearn
This network shows the impact of papers produced by Keisha Hearn. 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 Keisha Hearn. The network helps show where Keisha Hearn may publish in the future.
Co-authors
The 25 scholars most cited alongside Keisha Hearn, 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 | 2014 | 66 | |
| 2 | 2017 | 57 | |
| 3 | 2016 | 23 | |
| 4 | 2015 | 2 |
About Keisha Hearn
Keisha Hearn is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Computational Theory and Mathematics and Cell Biology, having authored 4 papers that have together received 148 indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (2 papers), Lung Cancer Treatments and Mutations (2 papers), Cell death mechanisms and regulation (1 paper), Computational Drug Discovery Methods (1 paper), Biochemical and Molecular Research (1 paper), Cancer therapeutics and mechanisms (1 paper), Melanoma and MAPK Pathways (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (122 citations), Computational Theory and Mathematics (27 citations), Oncology (38 citations), Immunology (21 citations) and Cell Biology (16 citations). Keisha Hearn has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Nicola G. Wallis, John F. Lyons, Tomoko Smyth, Neil T. Thompson, Mohammad Azab, H. Eirik Haarberg, Kim H.T. Paraiso, Joanne M. Munck, Keiran S.M. Smalley and Vernon K. Sondak. Their work appears in journals such as Molecular Cancer Therapeutics, British Journal of Cancer, Cancer Research and Journal of Medicinal Chemistry.
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.