Wenhui Wei

2.6k citations
100 papers · 2.0k · h-index 26

Impact in

Papers in

Wenhui Wei

98 papers receiving 2.0k citations

Peers

Wenhui Wei
Comparison fields: 5 of 115
  • Family Practice 105
  • Immunology and Allergy 240
  • Dermatology 300
  • Endocrinology, Diabetes and Metabolism 386
  • Geriatrics and Gerontology 29
Replace Tessa Kennedy‐Martin with:
Tessa Kennedy‐Martin United States
Peg Esper United States
John H. Fetting United States
Eve J. Higginbotham United States
H Ziegler Germany
Shari Gelber United States
Azadeh Stark United States
Katrina Wilcox Hagberg United States
E.T.M. Hille Netherlands
Suja S. Rajan United States
Wenhui Wei relative to Tessa Kennedy‐Martin United States Tessa Kennedy‐Martin's profile →
Citations per field
00.5×10×15×
Tessa Kennedy‐Martin · 1×
Citations per year

Countries citing papers authored by Wenhui Wei

Since Specialization
Citations

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

Fields of papers citing papers by Wenhui Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006118
2 2018101
3 201497
4 201989
5 200586
6 200770
7 201767
8 201365
9 201762
10 200556
11 201352
12 200745
13 201539
14 201938
15 201137
16 201336
17 201536
18 201335
19 201935
20 201533

About Wenhui Wei

Wenhui Wei is a scholar working on Endocrinology, Diabetes and Metabolism, Dermatology, Immunology and Allergy, Family Practice and Molecular Biology, having authored 100 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes Management and Research (17 papers), Diabetes Treatment and Management (10 papers), Dermatology and Skin Diseases (10 papers), Food Allergy and Anaphylaxis Research (9 papers), Medication Adherence and Compliance (8 papers), Receptor Mechanisms and Signaling (5 papers), Asthma and respiratory diseases (5 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Family Practice (105 citations), Immunology and Allergy (240 citations), Dermatology (300 citations), Endocrinology, Diabetes and Metabolism (386 citations) and Geriatrics and Gerontology (29 citations). Wenhui Wei has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Usha Sambamoorthi, Onur Başer, Lin Xie, Stephen Crystal, Chunshen Pan, Patricia A. Findley, Sunday Clark, Carlos A. Camargo, Steve Zhou and Susan A. Rudders. Their work appears in journals such as Value in Health, Journal of Managed Care & Specialty Pharmacy, Advances in Therapy, Journal of Investigative Dermatology and Journal of Medical Economics.

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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