James L. Kepner
- Oncology top 1%
- Immunology top 2%
- Molecular Biology top 5%
- Genetics top 0.5%
- Neurology top 1%
- Co-authors
- Henry S. FriedmanLarry E. KunPeter C. BurgerKunle OdunsiBrian N. BundyChristine B. AmbrosoneAchim A. JungbluthHaruo Ohtani
- Topics
- Glioma Diagnosis and Treatment (17 papers)Statistical Methods in Clinical Trials (16 papers)Optimal Experimental Design Methods (14 papers)
- Cited by
- GeneticsImmunologyOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyJournal of the American Statistical Association
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
James L. Kepner
73 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Oncology 1.7k
- Immunology 1.5k
- Molecular Biology 1.5k
- Genetics 1.4k
- Neurology 898
Countries citing papers authored by James L. Kepner
This map shows the geographic impact of James L. Kepner'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 James L. Kepner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James L. Kepner more than expected).
Fields of papers citing papers by James L. Kepner
This network shows the impact of papers produced by James L. Kepner. 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 James L. Kepner. The network helps show where James L. Kepner may publish in the future.
Co-authorship network of co-authors of James L. Kepner
This figure shows the co-authorship network connecting the top 25 collaborators of James L. Kepner. A scholar is included among the top collaborators of James L. Kepner 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 James L. Kepner. James L. Kepner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 56 | |
| 3 | 83 | |
| 4 | A phase I and pharmacokinetic (PK) study of intravenous (IV) calcitriol and gefitinib assessing EGFR pharmacodynamic (PD) interactions through serial skin biopsies | 1 |
| 5 | 16 | |
| 6 | 10 | |
| 7 | 11 | |
| 8 | 13 | |
| 9 | 29 | |
| 10 | 23 | |
| 11 | 45 | |
| 12 | 79 | |
| 13 | 19 | |
| 14 | 11 | |
| 15 | 73 | |
| 16 | 210 | |
| 17 | 315 | |
| 18 | 8 | |
| 19 | 5 | |
| 20 | 54 |
About James L. Kepner
James L. Kepner is a scholar working on Statistics and Probability, Genetics and Management Science and Operations Research, having authored 76 papers that have together received 5.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), Statistical Methods in Clinical Trials (16 papers) and Optimal Experimental Design Methods (14 papers). The work is most often cited by research in Genetics (1.4k citations), Immunology (1.5k citations) and Oncology (1.7k citations). James L. Kepner has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Henry S. Friedman, Larry E. Kun, Peter C. Burger, Kunle Odunsi, Brian N. Bundy, Christine B. Ambrosone, Achim A. Jungbluth, Haruo Ohtani, Hiroyoshi Nishikawa and Sara H. Olson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of the American Statistical Association.
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.