William Avery
Impact in
- Cell Biology top 5%
- melanin and skin pigmentation
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
- Oncology 10
- Cancer Treatment and Pharmacology 3
- Pancreatic and Hepatic Oncology Research 3
- Cancer Cells and Metastasis 2
- Peptidase Inhibition and Analysis 2
- Co-authors
- Alexis A. BorisyStanley J. KorsmeyerMargaret LeeLisa M. JohansenGrant R. ZimmermannRichard J. RicklesAdrian HeilbutAndrew Krueger
- Journals
- Journal of Clinical Oncology (3 papers)Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)Alzheimer s & Dementia (1 paper)Blood (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
William Avery
15 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cell Biology 358
- Biomaterials 202
- Molecular Biology 1.1k
- Computational Theory and Mathematics 179
- Oncology 291
Countries citing papers authored by William Avery
This map shows the geographic impact of William Avery'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 William Avery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Avery more than expected).
Fields of papers citing papers by William Avery
This network shows the impact of papers produced by William Avery. 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 William Avery. The network helps show where William Avery may publish in the future.
Co-authors
The 25 scholars most cited alongside William Avery, 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 | 2024 | 0 | |
| 2 | 2021 | 15 | |
| 3 | 2020 | 2 | |
| 4 | 2017 | 36 | |
| 5 | 2017 | 5 | |
| 6 | 2015 | 1 | |
| 7 | 2012 | 13 | |
| 8 | 2012 | 3 | |
| 9 | 2012 | 1 | |
| 10 | 2009 | 39 | |
| 11 | Synergistic drug combinations tend to improve therapeutically relevant selectivity Hit paper breakdown → | 2009 | 742 |
| 12 | 2009 | 1 | |
| 13 | 2008 | 1 | |
| 14 | 2007 | 90 | |
| 15 | 2004 | 199 | |
| 16 | Bcl2 Regulation by the Melanocyte Master Regulator Mitf Modulates Lineage Survival and Melanoma Cell Viability Hit paper breakdown → | 2002 | 578 |
About William Avery
William Avery is a scholar working on Oncology, Internal Medicine, Biotechnology, Cancer Research and Genetics, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Research and Treatments (2 papers), Cancer Cells and Metastasis (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Peptidase Inhibition and Analysis (2 papers) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cell Biology (358 citations), Biomaterials (202 citations), Molecular Biology (1.1k citations), Computational Theory and Mathematics (179 citations) and Oncology (291 citations). William Avery has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Alexis A. Borisy, Stanley J. Korsmeyer, Margaret Lee, Lisa M. Johansen, Grant R. Zimmermann, Richard J. Rickles, Adrian Heilbut, Andrew Krueger, Xiaowei Jin and Jane Staunton. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Molecular Cancer Therapeutics, Alzheimer s & Dementia and Blood.
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.