Wei Lang

10.9k citations
130 papers · 7.4k indexed · 1 hit paper · h-index 45

Wei Lang

129 papers receiving 7.0k citations

Hit Papers

Benefits of Modest Weight Loss in Improving Cardiovascula...1.3k20112026201620214008001.2k

Peers

Wei Lang
Comparison fields: 5 of 157
  • Pharmacy 1.0k
  • Complementary and alternative medicine 968
  • Physiology 2.8k
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Public Health, Environmental and Occupational Health 2.2k
Replace Barbara E. Millen with:
Barbara E. Millen United States
Cathy Nonas United States
June Stevens United States
Jennifer L. Kuk Canada
Jamy D. Ard United States
F. Xavier Pi‐Sunyer United States
Ian D. Caterson Australia
Luca Busetto Italy
Aaron S. Kelly United States
Rachel C. Lindstrom United States
Wei Lang relative to Barbara E. Millen United States Barbara E. Millen's profile →
Citations per field
00.5×2.6×
Barbara E. Millen · 1×
Citations per year

Countries citing papers authored by Wei Lang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20234
3 20226
4 201722
5 201614
6 201633
7 201660
8 201548
9 201528
10 201353
11 20135
12 201129
13 201018
14 2010404
15 200725
16 200667
17 200667
18
Complementary and alternative medicine use among adults with diabetes in the United States.
2006111
19 200680
20 200380

About Wei Lang

Wei Lang is a scholar working on Complementary and alternative medicine, Pharmacy, Complementary and Manual Therapy, Physiology and Public Health, Environmental and Occupational Health, having authored 130 papers that have together received 7.4k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (36 papers), Physical Activity and Health (23 papers), Complementary and Alternative Medicine Studies (21 papers), Eating Disorders and Behaviors (21 papers), Diet and metabolism studies (9 papers), Acute Myeloid Leukemia Research (9 papers), Phytochemistry Medicinal Plant Applications (9 papers) and Obesity and Health Practices (9 papers). The work is most often cited by research in Pharmacy (1.0k citations), Complementary and alternative medicine (968 citations), Physiology (2.8k citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Public Health, Environmental and Occupational Health (2.2k citations). Wei Lang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include John M. Jakicic, Rena R. Wing, James O. Hill, Thomas A. Arcury, Joseph G. Grzywacz, William C. Knowler, Sara A. Quandt, Lynne E. Wagenknecht, Thomas A. Wadden and Alain G. Bertoni. Their work appears in journals such as Obesity, Diabetes Care, Medicine & Science in Sports & Exercise, JAMA and International Journal of Obesity.

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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