Bin Wang

8.1k citations
281 papers · 5.2k · h-index 38

Impact in

    • Effects and risks of endocrine disrupting chemicals
    • Toxic Organic Pollutants Impact
  • Pollution top 1%
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Microplastics and Plastic Pollution

Papers in

Bin Wang

267 papers receiving 5.1k citations

Peers

Bin Wang
Comparison fields: 5 of 183
  • Health, Toxicology and Mutagenesis 1.1k
  • Pollution 617
  • Applied Microbiology and Biotechnology 79
  • Environmental Chemistry 290
  • Obstetrics and Gynecology 157
Replace Yuanyuan Li with:
Yuanyuan Li China
Michael Fenech Australia
Yafei Li China
Abraham Nyska Israel
Ning Ma China
Abilash Valsala Gopalakrishnan India
Wei Li China
Balachandar Vellingiri India
Lin Xu China
Shyam Biswal United States
Bin Wang relative to Yuanyuan Li China Yuanyuan Li's profile →
Citations per field
00.5×1.5×2×2.3×
Yuanyuan Li · 1×
Citations per year

Countries citing papers authored by Bin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 281 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016244
2 2016151
3 2010141
4 2021133
5 2015120
6 2001110
7 2018105
8 2014104
9 201098
10 201685
11 201779
12 202079
13 201576
14 201776
15 202274
16 201364
17 201561
18 201560
19 201756
20 201554

About Bin Wang

Bin Wang is a scholar working on Epidemiology, Health, Toxicology and Mutagenesis, Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics, having authored 281 papers that have together received 5.2k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (23 papers), Liver Disease Diagnosis and Treatment (18 papers), Pharmaceutical and Antibiotic Environmental Impacts (12 papers), Toxic Organic Pollutants Impact (11 papers), Heavy Metal Exposure and Toxicity (7 papers), HIV Research and Treatment (7 papers), Birth, Development, and Health (6 papers) and Reproductive Biology and Fertility (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.1k citations), Pollution (617 citations), Applied Microbiology and Biotechnology (79 citations), Environmental Chemistry (290 citations) and Obstetrics and Gynecology (157 citations). Bin Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Hexing Wang, Qingwu Jiang, Ying Zhou, Ningjian Wang, Yingli Lu, Feng Jiang, Qi Zhao, Chaowei Fu, Na Wang and Chuanxi Tang. Their work appears in journals such as Environment International, Diabetes Obesity and Metabolism, Scientific Reports, Diabetes/Metabolism Research and Reviews and PLoS ONE.

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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