Bin Wang

11.4k citations
370 papers · 8.1k indexed · 2 hit papers · h-index 44

Bin Wang

355 papers receiving 8.0k citations

Hit Papers

A review of practical statistical methods used in...1412019202620212023100200300

Peers

Bin Wang
Comparison fields: 5 of 192
  • Health, Toxicology and Mutagenesis 2.1k
  • Nutrition and Dietetics 1.3k
  • Nephrology 447
  • Cancer Research 876
  • Pollution 524
Replace Meian He with:
Meian He China
Tangchun Wu China
Xiaomin Zhang China
Wei Liu China
Hung‐Yi Chiou Taiwan
Huan Guo China
Xiaobin Wang United States
Terry D. Oberley United States
Qing Chen China
Jack S. Mandel United States
Bin Wang relative to Meian He China Meian He's profile →
Citations per field
00.5×1.5×2.1×
Meian He · 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-authorship network

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
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18 20174
19
Dynamics of hormonal profile and anti-mullerian hormone during spontaneous ovulation in PCOS women with oligomenorrhea
20172
20
Advances in anti-influenza drugs:neuraminidase inhibitors
20101

About Bin Wang

Bin Wang is a scholar working on Health, Toxicology and Mutagenesis, Nutrition and Dietetics, Nephrology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 370 papers that have together received 8.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (61 papers), Heavy Metal Exposure and Toxicity (26 papers), Trace Elements in Health (24 papers), Climate Change and Health Impacts (15 papers), Air Quality Monitoring and Forecasting (14 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers), Carcinogens and Genotoxicity Assessment (13 papers) and Extracellular vesicles in disease (12 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.1k citations), Nutrition and Dietetics (1.3k citations), Nephrology (447 citations), Cancer Research (876 citations) and Pollution (524 citations). Bin Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weihong Chen, Jixuan Ma, Daniel W. Nebert, Bi‐Cheng Liu, Aiqing Zhang, Linling Yu, Xiaonan H. Wang, Min Zhou, Lei He and Zuo‐Lin Li. Their work appears in journals such as Environmental Pollution, The Science of The Total Environment, Journal of Hazardous Materials, Environment International and Environmental Science and Pollution Research.

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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