William B. Capra
- Oncology top 10%
- Statistics and Probability top 2%
- Pulmonary and Respiratory Medicine
- Virology top 5%
- Economics and Econometrics top 10%
- Co-authors
- Brandon ArnieriHans‐Georg MüllerMichael D. TaylorSamuel WhippleGillis CarriganMichael W. LuSandra D. GriffithRyan Copping
- Topics
- Statistical Methods in Clinical Trials (7 papers)Lung Cancer Treatments and Mutations (5 papers)Cancer Genomics and Diagnostics (4 papers)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
William B. Capra
20 papers receiving 980 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Oncology 235
- Statistics and Probability 204
- Pulmonary and Respiratory Medicine 197
- Virology 189
- Economics and Econometrics 143
Countries citing papers authored by William B. Capra
This map shows the geographic impact of William B. Capra'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 B. Capra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William B. Capra more than expected).
Fields of papers citing papers by William B. Capra
This network shows the impact of papers produced by William B. Capra. 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 B. Capra. The network helps show where William B. Capra may publish in the future.
Co-authorship network of co-authors of William B. Capra
This figure shows the co-authorship network connecting the top 25 collaborators of William B. Capra. A scholar is included among the top collaborators of William B. Capra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William B. Capra. William B. Capra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 10 | |
| 3 | Evaluating eligibility criteria of oncology trials using real-world data and AIbreakdown → | 184 |
| 4 | 19 | |
| 5 | 72 | |
| 6 | 43 | |
| 7 | 76 | |
| 8 | 1 | |
| 9 | 166 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 52 | |
| 13 | 14 | |
| 14 | 86 | |
| 15 | 138 | |
| 16 | Viral load in treatment with antiretroviral therapy and interleukin 2 | 3 |
| 17 | 42 | |
| 18 | 33 | |
| 19 | 6 | |
| 20 | 54 |
About William B. Capra
William B. Capra is a scholar working on Statistics and Probability, Virology and Aging, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (7 papers), Lung Cancer Treatments and Mutations (5 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Virology (189 citations), Health Informatics (46 citations) and Statistics and Probability (204 citations). William B. Capra has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Brandon Arnieri, Hans‐Georg Müller, Michael D. Taylor, Samuel Whipple, Gillis Carrigan, Michael W. Lu, Sandra D. Griffith, Ryan Copping, Aracelis Z. Torres and Paul You. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.
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.