Yunbing Tang

413 citations
38 papers · 273 · h-index 10

Impact in

Papers in

Yunbing Tang

33 papers receiving 272 citations

Peers

Yunbing Tang
Comparison fields: 5 of 56
  • Endocrinology, Diabetes and Metabolism 97
  • Health, Toxicology and Mutagenesis 69
  • Environmental Chemistry 38
  • Genetics 88
  • Pediatrics, Perinatology and Child Health 37
Replace Peipei Pan with:
Peipei Pan China
Laila Al‐Eryani United States
Jessica LaRocca United States
Xue-Ling Xu China
Alice Marmugi France
Prägati Coder United States
Danila Cuomo Italy
Yoshimichi Miyashiro Japan
Minqian Shen United States
Yunbing Tang relative to Peipei Pan China Peipei Pan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yunbing Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yunbing Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202233
2 201426
3 202319
4 202216
5 202214
6 202013
7 202213
8 202312
9 202211
10 202311
11 20238
12 20248
13 20248
14 20237
15 20247
16 20237
17 20237
18 20236
19 20236
20
Meta-analysis of GSTT1 null genotype and preterm delivery risk.
20146

About Yunbing Tang

Yunbing Tang is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Health, Toxicology and Mutagenesis and Environmental Chemistry, having authored 38 papers that have together received 273 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), Hormonal Regulation and Hypertension (18 papers), Effects and risks of endocrine disrupting chemicals (14 papers), Birth, Development, and Health (12 papers), Per- and polyfluoroalkyl substances research (7 papers), Aldose Reductase and Taurine (4 papers), Hormonal and reproductive studies (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (97 citations), Health, Toxicology and Mutagenesis (69 citations), Environmental Chemistry (38 citations), Genetics (88 citations) and Pediatrics, Perinatology and Child Health (37 citations). Yunbing Tang has collaborated with scholars based in China, Maldives and Ghana. Frequent co-authors include Ren‐Shan Ge, Huitao Li, Yang Zhu, Yiyan Wang, Shaowei Wang, Jieqiang Lv, Zhiyan Hu, Bingru Zhang, Yi Liu and Shaowei Wang. Their work appears in journals such as Ecotoxicology and Environmental Safety, Toxicology Letters, Food and Chemical Toxicology, Chemico-Biological Interactions and The Journal of Steroid Biochemistry and Molecular Biology.

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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