Andrea H. Epperly
Impact in
- Oncology top 10%
- Vascular Tumors and Angiosarcomas
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- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Angiogenesis and VEGF in Cancer 4
- PI3K/AKT/mTOR signaling in cancer 3
- Receptor Mechanisms and Signaling 3
- Oncology 5
- HER2/EGFR in Cancer Research 3
- Cancer Treatment and Pharmacology 1
- Co-authors
- Mui Cheung (7 shared papers)Jeffrey A. Stafford (4 shared papers)Renae M. Crosby (3 shared papers)Rakesh Kumar (3 shared papers)Deirdre K. Luttrell (3 shared papers)Jennifer H. Johnson (3 shared papers)L.E. Harrington (3 shared papers)Teresa M. Hopper (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)Molecular Cancer Therapeutics (1 paper)British Journal of Cancer (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Andrea H. Epperly
11 papers receiving 706 citations
Peers
Comparison fields: 5 of 86
- Oncology 248
- Cancer Research 115
- Pulmonary and Respiratory Medicine 239
- Toxicology 19
- Molecular Biology 371
Countries citing papers authored by Andrea H. Epperly
This map shows the geographic impact of Andrea H. Epperly'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 Andrea H. Epperly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea H. Epperly more than expected).
Fields of papers citing papers by Andrea H. Epperly
This network shows the impact of papers produced by Andrea H. Epperly. 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 Andrea H. Epperly. The network helps show where Andrea H. Epperly may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrea H. Epperly, 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 | 2007 | 423 | |
| 2 | 2005 | 117 | |
| 3 | 2011 | 41 | |
| 4 | 2008 | 36 | |
| 5 | 2004 | 35 | |
| 6 | 2008 | 33 | |
| 7 | 2005 | 10 | |
| 8 | 2008 | 9 | |
| 9 | 2008 | 9 | |
| 10 | 2011 | 8 | |
| 11 | 2010 | 7 |
About Andrea H. Epperly
Andrea H. Epperly is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Cell Biology and Physiology, having authored 11 papers that have together received 728 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), HER2/EGFR in Cancer Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Receptor Mechanisms and Signaling (3 papers), Adipose Tissue and Metabolism (2 papers), Microtubule and mitosis dynamics (2 papers), Neuroblastoma Research and Treatments (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Oncology (248 citations), Cancer Research (115 citations), Pulmonary and Respiratory Medicine (239 citations), Toxicology (19 citations) and Molecular Biology (371 citations). Andrea H. Epperly has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Mui Cheung, Jeffrey A. Stafford, Renae M. Crosby, Rakesh Kumar, Deirdre K. Luttrell, Jennifer H. Johnson, L.E. Harrington, Teresa M. Hopper, Charles G. Miller and James A. Onori. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Molecular Cancer Therapeutics, British Journal of Cancer, Journal of Pharmacology and Experimental Therapeutics 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.