James D. Esinhart
- Infectious Diseases top 5%
- Virology top 1%
- Epidemiology
- Statistics and Probability top 5%
- Emergency Medicine top 10%
- Co-authors
- Sharon L. BenoitAndrew HillMichael S. SimberkoffDavid E. MartinPamela HartiganMarc RubinJohn D. HamiltonWilliam A. O’Brien
- Topics
- Statistical Methods in Clinical Trials (5 papers)Optimal Experimental Design Methods (4 papers)Statistical Methods and Bayesian Inference (2 papers)
- Partner nations
- United States
In The Last Decade
James D. Esinhart
15 papers receiving 823 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Infectious Diseases 489
- Virology 486
- Epidemiology 151
- Statistics and Probability 116
- Emergency Medicine 88
Countries citing papers authored by James D. Esinhart
This map shows the geographic impact of James D. Esinhart'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 D. Esinhart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James D. Esinhart more than expected).
Fields of papers citing papers by James D. Esinhart
This network shows the impact of papers produced by James D. Esinhart. 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 D. Esinhart. The network helps show where James D. Esinhart may publish in the future.
Co-authorship network of co-authors of James D. Esinhart
This figure shows the co-authorship network connecting the top 25 collaborators of James D. Esinhart. A scholar is included among the top collaborators of James D. Esinhart 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 D. Esinhart. James D. Esinhart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 33 | |
| 3 | Changes in Plasma HIV-1 RNA and CD4+ Lymphocyte Counts and the Risk of Progression to AIDSbreakdown → | 595 |
| 4 | 16 | |
| 5 | 21 | |
| 6 | Sample size considerations for assessing individual bioequivalence based on the method of tolerance intervals. | 12 |
| 7 | 3 | |
| 8 | 37 | |
| 9 | 5 | |
| 10 | Variations associated with disaggregation methods in DNA flow cytometry. | 5 |
| 11 | 6 | |
| 12 | The size of small cell lung carcinoma cells. Ratio to lymphocytes and correlation with specimen size and crush artifact. | 13 |
| 13 | 28 | |
| 14 | 42 | |
| 15 | 5 |
About James D. Esinhart
James D. Esinhart is a scholar working on Statistics and Probability, Management Science and Operations Research and Virology, having authored 15 papers that have together received 868 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Optimal Experimental Design Methods (4 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Virology (486 citations), Infectious Diseases (489 citations) and Statistics and Probability (116 citations). James D. Esinhart has collaborated with scholars based in United States. Frequent co-authors include Sharon L. Benoit, Andrew Hill, Michael S. Simberkoff, David E. Martin, Pamela Hartigan, Marc Rubin, John D. Hamilton, William A. O’Brien, Vernon M. Chinchilli and R Bloch. Their work appears in journals such as New England Journal of Medicine, Biometrics and Statistics in Medicine.
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.