Ryan R. Willard
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
-
- Protein Degradation and Inhibitors 15
- Ubiquitin and proteasome pathways 7
- Histone Deacetylase Inhibitors Research 2
-
- Prostate Cancer Treatment and Research 12
- Advanced Breast Cancer Therapies 2
- Co-authors
- Andrew P. Crew (11 shared papers)Craig M. Crews (11 shared papers)Taavi K. Neklesa (12 shared papers)Hanqing Dong (8 shared papers)Jing Wang (9 shared papers)John Houston (9 shared papers)Jennifer Pizzano (8 shared papers)I Taylor (10 shared papers)
- Journals
- Cancer Research (8 papers)Journal of Clinical Oncology (4 papers)Molecular Cancer Therapeutics (2 papers)In Vitro Cellular & Developmental Biology - Animal (1 paper)Communications Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan R. Willard
17 papers receiving 824 citations
Peers
Comparison fields: 5 of 41
- Hematology 217
- Oncology 341
- Molecular Biology 724
- Pulmonary and Respiratory Medicine 136
- Cancer Research 44
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 25 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 | 2018 | 277 | |
| 2 | 2019 | 156 | |
| 3 | 2019 | 109 | |
| 4 | 2021 | 79 | |
| 5 | 2018 | 51 | |
| 6 | 2021 | 49 | |
| 7 | 2024 | 34 | |
| 8 | 2017 | 23 | |
| 9 | 2018 | 14 | |
| 10 | 2023 | 12 | |
| 11 | 2016 | 12 | |
| 12 | 2010 | 10 | |
| 13 | 2009 | 10 | |
| 14 | 2018 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 2015 | 1 |
About Ryan R. Willard
Ryan R. Willard is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Hepatology, having authored 17 papers that have together received 842 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (15 papers), Prostate Cancer Treatment and Research (12 papers), Ubiquitin and proteasome pathways (7 papers), Peptidase Inhibition and Analysis (7 papers), Advanced Breast Cancer Therapies (2 papers), Liver physiology and pathology (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Xenotransplantation and immune response (1 paper). The work is most often cited by research in Hematology (217 citations), Oncology (341 citations), Molecular Biology (724 citations), Pulmonary and Respiratory Medicine (136 citations) and Cancer Research (44 citations). Ryan R. Willard has collaborated with scholars based in United States. Frequent co-authors include Andrew P. Crew, Craig M. Crews, Taavi K. Neklesa, Hanqing Dong, Jing Wang, John Houston, Jennifer Pizzano, I Taylor, Mark Bookbinder and Meizhong Jin. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Molecular Cancer Therapeutics, In Vitro Cellular & Developmental Biology - Animal and Communications Biology.
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.