Weili He

2.1k citations
51 papers · 1.4k indexed · h-index 16

Impact in

Papers in

Weili He

48 papers receiving 1.3k citations

Peers

Weili He
Comparison fields: 5 of 111
  • Infectious Diseases 546
  • Statistics and Probability 234
  • Epidemiology 657
  • Virology 52
  • Oncology 185
Replace Sara Hughes with:
Sara Hughes United Kingdom
Marian Ewell United States
Janez Tomažič Slovenia
Max Moldovan Australia
Margo Heath‐Chiozzi United States
Holly Gundacker United States
Sorin Rugină Romania
Federico Vázquez Spain
James M. Pellissier United States
D. Thorborn United Kingdom
Weili He relative to Sara Hughes United Kingdom Sara Hughes's profile →
Citations per field
00.5×3.1×
Sara Hughes · 1×
Citations per year

Countries citing papers authored by Weili He

Since Specialization
Citations

This map shows the geographic impact of Weili 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 Weili He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weili He more than expected).

Fields of papers citing papers by Weili He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weili 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 Weili He. The network helps show where Weili He may publish in the future.

Co-authors

The 25 scholars most cited alongside Weili 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 Weili He Line = papers co-authored together Weili He links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20252
4 20250
5 20251
6 202510
7 202410
8 202011
9 20172
10 20176
11 20166
12 20167
13 201415
14 20141
15 2010105
16 201040
17 200475
18 1995239
19 1995228
20
Determinants of accrual of women to a large, multicenter clinical trials program of human immunodeficiency virus infection. The AIDS Clinical Trials Group.
199344

About Weili He

Weili He is a scholar working on Statistics and Probability, Economics and Econometrics, Statistics, Probability and Uncertainty, Complementary and Manual Therapy and Management Science and Operations Research, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (30 papers), Health Systems, Economic Evaluations, Quality of Life (24 papers), Advanced Causal Inference Techniques (13 papers), Pharmaceutical Economics and Policy (7 papers), Bone health and treatments (4 papers), Meta-analysis and systematic reviews (4 papers), Biosimilars and Bioanalytical Methods (4 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). The work is most often cited by research in Infectious Diseases (546 citations), Statistics and Probability (234 citations), Epidemiology (657 citations), Virology (52 citations) and Oncology (185 citations). Weili He has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Judith Feinberg, Dianne M. Finkelstein, William G. Powderly, Peter T. Frame, Charles van der Horst, Samuel A. Bozzette, Stephen A. Spector, Hetty Waskin, Roy T. Steigbigel and Donald E. Craven. Their work appears in journals such as Statistics in Biopharmaceutical Research, Therapeutic Innovation & Regulatory Science, New England Journal of Medicine, Clinical Pharmacology & Therapeutics and Contemporary Clinical Trials.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026