Jonathan Chipman
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- Prostate Cancer Treatment and Research 10
- Prostate Cancer Diagnosis and Treatment 8
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials 8
- Advanced Causal Inference Techniques 4
- Radiation top 10%
- Urology top 10%
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- Cancer Genomics and Diagnostics 9
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- BRCA gene mutations in cancer 5
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- Health Systems, Economic Evaluations, Quality of Life 5
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- Diabetes Treatment and Management 5
- Co-authors
- Martin G. SandaRodney L. DunnPeter ChangMark S. LitwinJohn T. WeiMeredith M. ReganChristianne L. RoumieCarlos G. Grijalva
- Journals
- Statistics in Biopharmaceutical Research (5 papers)Journal of Clinical Oncology (5 papers)Breast Cancer Research and Treatment (3 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Jonathan Chipman
46 papers receiving 729 citations
Peers
Comparison fields: 5 of 88
- Pulmonary and Respiratory Medicine 314
- Statistics and Probability 65
- Radiation 61
- Urology 40
- Oncology 144
Countries citing papers authored by Jonathan Chipman
This map shows the geographic impact of Jonathan Chipman'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 Jonathan Chipman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Chipman more than expected).
Fields of papers citing papers by Jonathan Chipman
This network shows the impact of papers produced by Jonathan Chipman. 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 Jonathan Chipman. The network helps show where Jonathan Chipman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan Chipman, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 60 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 52 | |
| 16 | 2019 | 29 | |
| 17 | 2018 | 2 | |
| 18 | 2018 | 15 | |
| 19 | 2013 | 56 | |
| 20 | 2013 | 69 |
About Jonathan Chipman
Jonathan Chipman is a scholar working on Statistics and Probability, Cancer Research, Pulmonary and Respiratory Medicine, Family Practice and Oncology, having authored 51 papers that have together received 739 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (10 papers), Cancer Genomics and Diagnostics (9 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Statistical Methods in Clinical Trials (8 papers), BRCA gene mutations in cancer (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Diabetes Treatment and Management (5 papers) and Advanced Causal Inference Techniques (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (314 citations), Statistics and Probability (65 citations), Radiation (61 citations), Urology (40 citations) and Oncology (144 citations). Jonathan Chipman has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Martin G. Sanda, Rodney L. Dunn, Peter Chang, Mark S. Litwin, John T. Wei, Meredith M. Regan, Christianne L. Roumie, Carlos G. Grijalva, Marie R. Griffin and Robert A. Greevy. Their work appears in journals such as Statistics in Biopharmaceutical Research, Journal of Clinical Oncology, Breast Cancer Research and Treatment, Clinical Genitourinary Cancer and BMC Medical Research Methodology.
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.