Bin Wang

214 papers receiving 3.9k citations

Peers

Bin Wang
Comparison fields: 5 of 140
  • Behavioral Neuroscience 239
  • Endocrine and Autonomic Systems 372
  • Biological Psychiatry 134
  • Physiology 193
  • Reproductive Medicine 322
Replace Pulak R. Manna with:
Pulak R. Manna United States
Patrick Martin France
P. Kay Lund United States
Itaru Kojima Japan
Wood Yee Chan Hong Kong
Angie L. Bookout United States
Sushil K. Mahata United States
Scot R. Kimball United States
Eri Segi‐Nishida Japan
Paolo Ciana Italy
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Citations per field
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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 226 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007190
2 2007180
3 2017171
4 2015107
5 2008104
6 201894
7 201492
8 201889
9 200782
10 200878
11 201059
12 201854
13 200851
14 201350
15 201550
16 202049
17 200848
18 201648
19 200847
20 201745

About Bin Wang

Bin Wang is a scholar working on Molecular Biology, Reproductive Medicine, Epidemiology, Endocrine and Autonomic Systems and Genetics, having authored 226 papers that have together received 4.0k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (29 papers), Hypothalamic control of reproductive hormones (25 papers), Aquaculture Nutrition and Growth (20 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Reproductive biology and impacts on aquatic species (15 papers), Adipose Tissue and Metabolism (13 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers) and Aquaculture disease management and microbiota (12 papers). The work is most often cited by research in Behavioral Neuroscience (239 citations), Endocrine and Autonomic Systems (372 citations), Biological Psychiatry (134 citations), Physiology (193 citations) and Reproductive Medicine (322 citations). Bin Wang has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Zhi‐Bing You, Roy A. Wise, Yongjiang Xu, Xuezhou Liu, Kenner C. Rice, Chun‐Xia Luo, Dong‐Ya Zhu, Bao Shi, Wensheng Li and Naping Tang. Their work appears in journals such as General and Comparative Endocrinology, Fish Physiology and Biochemistry, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, Clinica Chimica Acta and Frontiers in Endocrinology.

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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