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
- Receptor Mechanisms and Signaling 3
- PI3K/AKT/mTOR signaling in cancer 3
- Peroxisome Proliferator-Activated Receptors 1
- Ubiquitin and proteasome pathways 1
- Oncology 5
- HER2/EGFR in Cancer Research 3
- Co-authors
- Mui Cheung (7 shared papers)Jeffrey A. Stafford (4 shared papers)Jennifer H. Johnson (3 shared papers)Renae M. Crosby (3 shared papers)Deirdre K. Luttrell (3 shared papers)Rakesh Kumar (3 shared papers)Teresa M. Hopper (3 shared papers)James A. Onori (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)Journal of Clinical Oncology (1 paper)Journal of Medicinal Chemistry (1 paper)British Journal of Cancer (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Andrea H. Epperly
11 papers receiving 710 citations
Peers
Comparison fields: 5 of 83
- Oncology 201
- Cancer Research 100
- Pulmonary and Respiratory Medicine 210
- Toxicology 19
- Molecular Biology 318
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 | 425 | |
| 2 | 2005 | 119 | |
| 3 | 2011 | 41 | |
| 4 | 2008 | 36 | |
| 5 | 2004 | 35 | |
| 6 | 2008 | 32 | |
| 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 731 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Receptor Mechanisms and Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), HER2/EGFR in Cancer Research (3 papers), Microtubule and mitosis dynamics (2 papers), Adipose Tissue and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Oncology (201 citations), Cancer Research (100 citations), Pulmonary and Respiratory Medicine (210 citations), Toxicology (19 citations) and Molecular Biology (318 citations). Andrea H. Epperly has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Mui Cheung, Jeffrey A. Stafford, Jennifer H. Johnson, Renae M. Crosby, Deirdre K. Luttrell, Rakesh Kumar, Teresa M. Hopper, James A. Onori, L.E. Harrington and Charles G. Miller. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Clinical Oncology, Journal of Medicinal Chemistry, British Journal of Cancer and Molecular Cancer Therapeutics.
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.