Wei Bi

673 citations
32 papers · 519 · h-index 14

Impact in

  • Biophysics top 10%
    • Electron Spin Resonance Studies
    • Peripheral Artery Disease Management

Papers in

Wei Bi

29 papers receiving 510 citations

Peers

Wei Bi
Comparison fields: 5 of 74
  • Biophysics 39
  • Surgery 197
  • Organic Chemistry 114
  • Internal Medicine 10
  • Pathology and Forensic Medicine 41
Replace Andrzej Jakubowski with:
Andrzej Jakubowski Poland
Tadahiko Yamamoto Japan
P. Dorigo Italy
Nicholas S. Aberle United States
H. Beving Sweden
F. S. TJOENG United States
Viviane Caceres United States
Christine J. van Dalen New Zealand
Wu Yang United States
Ertan Küçüksayan Türkiye
Wei Bi relative to Andrzej Jakubowski Poland Andrzej Jakubowski's profile →
Citations per field
00.5×4.9×
Andrzej Jakubowski · 1×
Citations per year

Countries citing papers authored by Wei Bi

Since Specialization
Citations

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

Fields of papers citing papers by Wei Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201687
2 201839
3 200639
4 202034
5 200632
6 200732
7 201430
8 201028
9 202126
10 200621
11 201119
12 201216
13 201113
14 201713
15 201613
16 201713
17 201811
18 201610
19 20099
20 20208

About Wei Bi

Wei Bi is a scholar working on Surgery, Molecular Biology, Organic Chemistry, Biophysics and Pathology and Forensic Medicine, having authored 32 papers that have together received 519 indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (10 papers), Electron Spin Resonance Studies (6 papers), Synthesis and bioactivity of alkaloids (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Multicomponent Synthesis of Heterocycles (3 papers), Free Radicals and Antioxidants (3 papers) and Vascular Procedures and Complications (2 papers). The work is most often cited by research in Biophysics (39 citations), Surgery (197 citations), Organic Chemistry (114 citations), Internal Medicine (10 citations) and Pathology and Forensic Medicine (41 citations). Wei Bi has collaborated with scholars based in China, United States and France. Frequent co-authors include Lanrong Bi, Shenming Wang, Wei Guo, Xin Jia, Jiwei Zhang, Weiguo Fu, Yue Bi, Yu Zhao, Xiang Gao and Shiqi Peng. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Evidence-based Complementary and Alternative Medicine, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Annals of Vascular Surgery.

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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