Bin Gao

976 citations
46 papers · 728 · h-index 17

Impact in

  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities
  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes

Papers in

Bin Gao

45 papers receiving 714 citations

Peers

Bin Gao
Comparison fields: 5 of 98
  • Biochemistry 71
  • Nephrology 82
  • Endocrinology, Diabetes and Metabolism 186
  • Pathology and Forensic Medicine 181
  • Biological Psychiatry 20
Replace Evelina Maria Gosav with:
Evelina Maria Gosav Romania
Wenyan Lai China
George-Angelo Papamikroulis Greece
Qing Su China
Nariman Moradi Iran
Moshe Zlotnik Israel
Ana Paula Silva Caldas Brazil
Emina Čolak Serbia
Amy C. Keller United States
Tong Chen China
Bin Gao relative to Evelina Maria Gosav Romania Evelina Maria Gosav's profile →
Citations per field
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Evelina Maria Gosav · 1×
Citations per year

Countries citing papers authored by Bin Gao

Since Specialization
Citations

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

Fields of papers citing papers by Bin Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010109
2 201471
3 202137
4 201836
5 201431
6 201531
7 201330
8 201526
9
Effect of ligustrum fruit extract on reproduction in experimental diabetic rats.
200126
10 201125
11 201224
12
Paeoniflorin prevents diabetic nephropathy in rats.
200923
13 201522
14 201119
15 202318
16 202217
17 201017
18 201716
19 201615
20 201314

About Bin Gao

Bin Gao is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Nephrology, Pathology and Forensic Medicine and Epidemiology, having authored 46 papers that have together received 728 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Retinal Diseases and Treatments (6 papers), Chronic Kidney Disease and Diabetes (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Retinal Imaging and Analysis (5 papers), Diabetes Treatment and Management (4 papers), Tea Polyphenols and Effects (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Biochemistry (71 citations), Nephrology (82 citations), Endocrinology, Diabetes and Metabolism (186 citations), Pathology and Forensic Medicine (181 citations) and Biological Psychiatry (20 citations). Bin Gao has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Chunxiu Peng, Jiashun Gong, Qiuhe Ji, Hongjie Zhou, Ting Chen, Qiuhe Ji, Jianfang Fu, Jie Ming, Shaoyong Xu and Xueyong Li. Their work appears in journals such as Acta Diabetologica, Scientific Reports, Journal of Diabetes Investigation, Lipids in Health and Disease and Expert Opinion on Drug Delivery.

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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