Kevin He

9.6k citations
112 papers · 2.5k · 2 hit papers · h-index 18

Impact in

Papers in

    • Statistical Methods and Inference 28
    • Statistical Methods and Bayesian Inference 17
    • Advanced Causal Inference Techniques 11
    • Statistical Methods in Clinical Trials 7
    • Healthcare Policy and Management 11
    • Health Systems, Economic Evaluations, Quality of Life 9

Kevin He

106 papers receiving 2.5k citations

Kevin He's Hit Papers

Outcomes Associated With Apixaban Use in Patients With End-Stage Kidney Disease and Atrial Fibrillation in the United States 2018 · 332 citations
3320+5+10Years since publication200400600

Peers

Kevin He
Comparison fields: 5 of 140
  • Geriatrics and Gerontology 124
  • Internal Medicine 108
  • Nephrology 202
  • Physiology 558
  • Cardiology and Cardiovascular Medicine 414
Replace Ralph B. D' Agostino with:
Ralph B. D' Agostino United States
Hicham Skali United States
Sandra C. Bryant United States
Alan Tinmouth Canada
Étienne Gayat France
Yannick Le Manach France
Abdissa Negassa United States
Walter Bouwmeester United Kingdom
Laura Antolini Italy
Cornelis Boersma Netherlands
Kevin He relative to Ralph B. D' Agostino United States Ralph B. D' Agostino's profile →
Citations per field
00.5×3.7×
Ralph B. D' Agostino · 1×
Citations per year

Countries citing papers authored by Kevin He

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Kevin He Line = papers co-authored together Kevin He links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sarcopenia and Mortality after Liver Transplantation
Hit paper breakdown →
2010622
2
Outcomes Associated With Apixaban Use in Patients With End-Stage Kidney Disease and Atrial Fibrillation in the United States
Hit paper breakdown →
2018332
3 2011213
4 2012179
5 202091
6 201984
7 201856
8 201954
9 202348
10 202143
11 202037
12 201337
13 201836
14 201933
15 201525
16 202023
17 201321
18 202218
19 201817
20 201916

About Kevin He

Kevin He is a scholar working on Statistics and Probability, Economics and Econometrics, Nephrology, Artificial Intelligence and Immunology, having authored 112 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 (11 papers), Advanced Causal Inference Techniques (11 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Statistical Methods in Clinical Trials (7 papers), Chronic Kidney Disease and Diabetes (6 papers) and Mast cells and histamine (4 papers). The work is most often cited by research in Geriatrics and Gerontology (124 citations), Internal Medicine (108 citations), Nephrology (202 citations), Physiology (558 citations) and Cardiology and Cardiovascular Medicine (414 citations). Kevin He has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Douglas E. Schaubel, Calista M. Harbaugh, Michael J. Englesbe, Stewart C. Wang, Christopher J. Sonnenday, Sven A. Holcombe, Shaun P. Patel, Raymond Lynch, Dorry L. Segev and Rajiv Saran. Their work appears in journals such as Statistics in Medicine, Lifetime Data Analysis, Biometrics, Journal of Translational Medicine and The Annals of Applied Statistics.

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.

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