Wangsheng Wang

90 papers receiving 1.7k citations

Peers

Wangsheng Wang
Comparison fields: 5 of 118
  • Obstetrics and Gynecology 231
  • Reproductive Medicine 212
  • Immunology 301
  • Epidemiology 347
  • Public Health, Environmental and Occupational Health 275
Replace Min Jin with:
Min Jin China
Yoshiyuki Kojima Japan
Zhen Hua Yang China
Massimo Lazzeri Italy
Yuka Suzuki Japan
A. Horsman United Kingdom
William E. Lucas United States
Federica Murgia Italy
Liqun Sun China
Alfredo Campennì Italy
Wangsheng Wang relative to Min Jin China Min Jin's profile →
Citations per field
00.5×2×2.8×
Min Jin · 1×
Citations per year

Countries citing papers authored by Wangsheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wangsheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201887
2 202083
3 202074
4 201968
5 201560
6 202058
7 201857
8 201552
9 201846
10 201741
11 201940
12 201840
13 201237
14 201532
15 201630
16 201330
17 201129
18 201428
19 201628
20 201827

About Wangsheng Wang

Wangsheng Wang is a scholar working on Immunology, Epidemiology, Obstetrics and Gynecology, Reproductive Medicine and Pulmonary and Respiratory Medicine, having authored 93 papers that have together received 1.7k indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (29 papers), Neonatal Respiratory Health Research (18 papers), Reproductive System and Pregnancy (18 papers), Pregnancy-related medical research (12 papers), Particle Accelerators and Free-Electron Lasers (10 papers), Particle accelerators and beam dynamics (10 papers), Pregnancy and preeclampsia studies (6 papers) and Ovarian function and disorders (6 papers). The work is most often cited by research in Obstetrics and Gynecology (231 citations), Reproductive Medicine (212 citations), Immunology (301 citations), Epidemiology (347 citations) and Public Health, Environmental and Occupational Health (275 citations). Wangsheng Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Kang Sun, Leslie Myatt, Wenjiao Li, Zi‐Jiang Chen, Yun Wei Sun, Jiang‐Wen Lu, Ping Zhu, Ru-Juan Zuo, Hao Ying and Chunming Guo. Their work appears in journals such as Endocrinology, Journal of High Energy Astrophysics, The Journal of Clinical Endocrinology & Metabolism, The FASEB Journal and Placenta.

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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