Ryan R. Willard
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
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- Liver physiology and pathology 2
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- Prostate Cancer Treatment and Research 2
- Co-authors
- Taavi K. Neklesa (2 shared papers)Jing Wang (1 shared paper)Donald Patrick McDonnell (1 shared paper)Shanique B. Alabi (1 shared paper)Craig M. Crews (1 shared paper)Hanqing Dong (1 shared paper)Meizhong Jin (1 shared paper)Andrew P. A. Crew (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Nature Chemical Biology (1 paper)In Vitro Cellular & Developmental Biology - Animal (1 paper)Communications Biology (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ryan R. Willard
6 papers receiving 1.5k citations
Ryan R. Willard's Hit Papers
Peers
Comparison fields: 5 of 57
- Hematology 340
- Oncology 552
- Molecular Biology 1.4k
- Pulmonary and Respiratory Medicine 120
- Cancer Research 49
Countries citing papers authored by Ryan R. Willard
This map shows the geographic impact of Ryan R. Willard'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 Ryan R. Willard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan R. Willard more than expected).
Fields of papers citing papers by Ryan R. Willard
This network shows the impact of papers produced by Ryan R. Willard. 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 Ryan R. Willard. The network helps show where Ryan R. Willard may publish in the future.
Co-authors
The 22 scholars most cited alongside Ryan R. Willard, 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 | Catalytic in vivo protein knockdown by small-molecule PROTACs Hit paper breakdown → | 2015 | 1076 |
| 2 | 2018 | 298 | |
| 3 | Oral Estrogen Receptor PROTAC Vepdegestrant (ARV-471) Is Highly Efficacious as Monotherapy and in Combination with CDK4/6 or PI3K/mTOR Pathway Inhibitors in Preclinical ER+ Breast Cancer Models Hit paper breakdown → | 2024 | 133 |
| 4 | 2024 | 51 | |
| 5 | 2009 | 10 | |
| 6 | 2010 | 10 |
About Ryan R. Willard
Ryan R. Willard is a scholar working on Hepatology, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Oncology, having authored 6 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (3 papers), Prostate Cancer Treatment and Research (2 papers), Liver physiology and pathology (2 papers), Pancreatic function and diabetes (1 paper), Pluripotent Stem Cells Research (1 paper), Organ Transplantation Techniques and Outcomes (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Hematology (340 citations), Oncology (552 citations), Molecular Biology (1.4k citations), Pulmonary and Respiratory Medicine (120 citations) and Cancer Research (49 citations). Ryan R. Willard has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Taavi K. Neklesa, Jing Wang, Donald Patrick McDonnell, Shanique B. Alabi, Craig M. Crews, Hanqing Dong, Meizhong Jin, Andrew P. A. Crew, Neil C. Talbot and Nicholas Vitale. Their work appears in journals such as Clinical Cancer Research, Nature Chemical Biology, In Vitro Cellular & Developmental Biology - Animal, Communications Biology 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.