Bin Han

28 papers receiving 561 citations

Peers

Bin Han
Comparison fields: 5 of 89
  • Biological Psychiatry 36
  • Nephrology 79
  • Complementary and alternative medicine 89
  • Pharmacology 87
  • Obstetrics and Gynecology 51
Replace Tiago H. Zaninelli with:
Tiago H. Zaninelli Brazil
Zümrüt Doğan Türkiye
Fatemeh Ayoobi Iran
Ramadan A.M. Hemeida Egypt
Jing Tan China
Chisayo Kozuka Japan
Angélica Saraí Jiménez‐Osorio Mexico
Elham Hakimizadeh Iran
Zhen Hu China
Mingxing Miao China
Bin Han relative to Tiago H. Zaninelli Brazil Tiago H. Zaninelli's profile →
Citations per field
00.5×10×20×30×37×
Tiago H. Zaninelli · 1×
Citations per year

Countries citing papers authored by Bin Han

Since Specialization
Citations

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

Fields of papers citing papers by Bin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008128
2 201664
3 201936
4 201534
5 202030
6 202028
7 201027
8 201926
9 201522
10 202117
11 202016
12 201316
13 202315
14 202314
15 201814
16 201612
17 201812
18 201711
19 20147
20
[Urine metabonomic study of intervention effects of Morinda officinalis how. on 'kidney-yang deficiency syndrome'].
20137

About Bin Han

Bin Han is a scholar working on Molecular Biology, Nephrology, Surgery, Complementary and alternative medicine and Pharmacology, having authored 28 papers that have together received 563 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Pharmacological Effects of Natural Compounds (3 papers), Gastrointestinal motility and disorders (2 papers), Ginseng Biological Effects and Applications (2 papers), Ginkgo biloba and Cashew Applications (2 papers), Alcohol Consumption and Health Effects (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (36 citations), Nephrology (79 citations), Complementary and alternative medicine (89 citations), Pharmacology (87 citations) and Obstetrics and Gynecology (51 citations). Bin Han has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Mengjuan Gong, Shengwang Liang, Shumei Wang, B. W. Hess, Junfeng Tong, Mei Zhu, Changwei Ma, K. R. Underwood, Stephen P. Ford and Peter W. Nathanielsz. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Evidence-based Complementary and Alternative Medicine, Journal of Drug Delivery Science and Technology, Medicine and Food and Chemical Toxicology.

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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