Kevin He
Impact in
- Geriatrics and Gerontology top 1%
- Frailty in Older Adults
- Internal Medicine top 2%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Statistical Methods and Inference 28
- Statistical Methods and Bayesian Inference 17
- Advanced Causal Inference Techniques 11
- Statistical Methods in Clinical Trials 7
- Nephrology 19
- Dialysis and Renal Disease Management 9
- Chronic Kidney Disease and Diabetes 8
- Co-authors
- Douglas E. SchaubelChristopher J. SonnendayMichael J. EnglesbeStewart C. WangCalista M. HarbaughSven A. HolcombeDorry L. SegevShaun P. Patel
- Journals
- Statistics in Medicine (7 papers)Biometrics (5 papers)Lifetime Data Analysis (5 papers)Health Services and Outcomes Research Methodology (3 papers)Journal of Allergy and Clinical Immunology (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Kevin He
105 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Geriatrics and Gerontology 291
- Internal Medicine 169
- Nephrology 266
- Physiology 712
- Hepatology 215
Countries citing papers authored by Kevin He
This map shows the geographic impact of Kevin He'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 Kevin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin He more than expected).
Fields of papers citing papers by Kevin He
This network shows the impact of papers produced by Kevin He. 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 Kevin He. The network helps show where Kevin He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin He, 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 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 46 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 9 | |
| 16 | 2019 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2019 | 1 | |
| 19 | 2018 | 9 | |
| 20 | 2018 | 7 |
About Kevin He
Kevin He is a scholar working on Statistics and Probability, Nephrology, Transplantation, Economics and Econometrics and Statistics, Probability and Uncertainty, having authored 111 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (28 papers), Statistical Methods and Bayesian Inference (17 papers), Healthcare Policy and Management (12 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Advanced Causal Inference Techniques (11 papers), Dialysis and Renal Disease Management (9 papers), Chronic Kidney Disease and Diabetes (8 papers) and Statistical Methods in Clinical Trials (7 papers). The work is most often cited by research in Geriatrics and Gerontology (291 citations), Internal Medicine (169 citations), Nephrology (266 citations), Physiology (712 citations) and Hepatology (215 citations). Kevin He has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Douglas E. Schaubel, Christopher J. Sonnenday, Michael J. Englesbe, Stewart C. Wang, Calista M. Harbaugh, Sven A. Holcombe, Dorry L. Segev, Shaun P. Patel, Raymond Lynch and Rajiv Saran. Their work appears in journals such as Statistics in Medicine, Biometrics, Lifetime Data Analysis, Health Services and Outcomes Research Methodology and Journal of Allergy and Clinical Immunology.
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.