Bin Wei

7.1k citations
123 papers · 5.0k indexed · h-index 37

Bin Wei

120 papers receiving 5.0k citations

Peers

Bin Wei
Comparison fields: 5 of 151
  • Developmental Neuroscience 311
  • Immunology 1.3k
  • Safety, Risk, Reliability and Quality 545
  • General Engineering 60
  • Civil and Structural Engineering 660
Replace Xinhua Zhang with:
Xinhua Zhang China
Chun Liu China
Kazuhiko Nishida Japan
Shinichiro Hayashi Japan
Liying Zhang China
Liu C United States
Michael G. Tomlinson United Kingdom
Xuri Li China
Michael Bacher Germany
Wencheng Zhang China
Bin Wei relative to Xinhua Zhang China Xinhua Zhang's profile →
Citations per field
00.5×11.4×
Xinhua Zhang · 1×
Citations per year

Countries citing papers authored by Bin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20256
4 20241
5 202313
6 202213
7 202284
8 202137
9 202116
10 202119
11 202150
12 20207
13 201917
14 2018122
15 201812
16 201612
17 201636
18 20142
19 2006494
20 200599

About Bin Wei

Bin Wei is a scholar working on Immunology, Behavioral Neuroscience, Developmental Neuroscience, Endocrine and Autonomic Systems and Safety, Risk, Reliability and Quality, having authored 123 papers that have together received 5.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (15 papers), interferon and immune responses (7 papers), Geotechnical Engineering and Underground Structures (7 papers), Viral Infections and Immunology Research (7 papers), Epigenetics and DNA Methylation (7 papers), Geotechnical Engineering and Analysis (7 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Developmental Neuroscience (311 citations), Immunology (1.3k citations), Safety, Risk, Reliability and Quality (545 citations), General Engineering (60 citations) and Civil and Structural Engineering (660 citations). Bin Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yong Tan, Jian‐Ping Jin, Christopher E. Rudd, Helga Schneider, Hongyan Wang, Paul Garside, Gang Pei, Nancy Hogg, Bernd H. Zinselmeyer and Andrew Smith. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Performance of Constructed Facilities, Brain Research, Archives of Biochemistry and Biophysics and Advances in experimental medicine and biology.

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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