Zhenglai Wu

43 papers receiving 1.1k citations

Peers

Zhenglai Wu
Comparison fields: 5 of 134
  • Epidemiology 270
  • General Health Professions 202
  • Health, Toxicology and Mutagenesis 190
  • Endocrinology, Diabetes and Metabolism 178
  • Sociology and Political Science 172
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Azizallah Dehghan Iran
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Zhenglai Wu relative to Lily Alexander United States Lily Alexander's profile →
Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by Zhenglai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenglai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenglai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenglai Wu. A scholar is included among the top collaborators of Zhenglai Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenglai Wu. Zhenglai Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 32
2 54
3 29
4 56
5 18
6 13
7 7
8 2
9 23
10 19
11 33
12 53
13 98
14
[Study on the association between vaginal douching and sexually transmitted diseases among female sex workers in a county of Yunnan province].
6
15 57
16
A case-control study on children with Guillain-Barre syndrome in North China.
11
17
Driver sleepiness and risk of car crashes in Shenyang, a Chinese northeastern city: population-based case-control study.
31
18
Tuberculosis control priorities defined by using cost-effectiveness and burden of disease.
2
19
Methodology for the assessment of burden of smear-positive pulmonary TB and its infectivity.
1
20 58

About Zhenglai Wu

Zhenglai Wu is a scholar working on Infectious Diseases, General Social Sciences and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sex work and related issues (7 papers), HIV, Drug Use, Sexual Risk (5 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (190 citations), Physical Therapy, Sports Therapy and Rehabilitation (53 citations) and Endocrinology, Diabetes and Metabolism (178 citations). Zhenglai Wu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Paul K. Whelton, Michael J. Klag, Jiang He, Qun Xu, Wenjing Li, Yang Cao, Runkui Li, Shouqing Lin, Yanling Ma and Guowei Ding. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and The Science of The Total Environment.

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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