Bin Zhou

2.8k citations
78 papers · 2.0k · h-index 24

Impact in

  • Toxicology top 0.5%
    • Forensic Toxicology and Drug Analysis
  • Virology top 5%
    • HIV Research and Treatment

Papers in

Bin Zhou

77 papers receiving 2.0k citations

Peers

Bin Zhou
Comparison fields: 5 of 111
  • Toxicology 306
  • Virology 139
  • Cellular and Molecular Neuroscience 417
  • Pharmacology 236
  • Radiology, Nuclear Medicine and Imaging 283
Replace Ku‐Lung Hsu with:
Ku‐Lung Hsu United States
B. Krumm United States
Yuning Song China
Theodora Calogeropoulou Greece
Marco A. Velasco‐Velázquez Mexico
Prem N. Yadav United States
Markus Muttenthaler Australia
Paul A. Negulescu United States
Luis Vaca Mexico
Ben Tseng United States
Bin Zhou relative to Ku‐Lung Hsu United States Ku‐Lung Hsu's profile →
Citations per field
00.5×8.7×
Ku‐Lung Hsu · 1×
Citations per year

Countries citing papers authored by Bin Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Bin Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006152
2 2016135
3 2000125
4 2016120
5 2009117
6 201690
7 201782
8 201154
9 201953
10 201951
11 200950
12 201949
13 200248
14 199947
15 200147
16 200246
17 201845
18 200141
19 201839
20 201830

About Bin Zhou

Bin Zhou is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Toxicology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 78 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (17 papers), Forensic Toxicology and Drug Analysis (16 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Receptor Mechanisms and Signaling (7 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers) and Opioid Use Disorder Treatment (5 papers). The work is most often cited by research in Toxicology (306 citations), Virology (139 citations), Cellular and Molecular Neuroscience (417 citations), Pharmacology (236 citations) and Radiology, Nuclear Medicine and Imaging (283 citations). Bin Zhou has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Kim D. Janda, Paul T. Bremer, Peter Wirsching, Candy S. Hwang, Beverly A. Ellis, Joel E. Schlosburg, Lauren C. Smith, Ian A. Wilson, Jon Ashley and Matthew L. Banks. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, Molecular Pharmaceutics, Chemical Communications and Journal of the American Chemical Society.

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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