Bo Wei

1.5k citations
44 papers · 847 · h-index 15

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

Bo Wei

40 papers receiving 834 citations

Peers

Bo Wei
Comparison fields: 5 of 104
  • Immunology 203
  • Hepatology 56
  • Molecular Biology 381
  • Epidemiology 131
  • Virology 18
Replace Michele Lai with:
Michele Lai Italy
Perumal Nagarajan India
Aiping Qin China
Bruna Araújo David Brazil
Hamid Daneshvar Iran
Jan Sikora Poland
Canhua Huang China
Clinton B. Mathias United States
Xiaojuan Wang China
Jon R. Ward United Kingdom
Bo Wei relative to Michele Lai Italy Michele Lai's profile →
Citations per field
00.5×1.5×2.4×
Michele Lai · 1×
Citations per year

Countries citing papers authored by Bo Wei

Since Specialization
Citations

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

Fields of papers citing papers by Bo Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009148
2 201891
3 200179
4 202156
5 202051
6 201749
7 199946
8 202145
9 202230
10 200125
11 200424
12 201122
13 202218
14 202116
15 202215
16 201514
17 201613
18 201412
19 202310
20 20169

About Bo Wei

Bo Wei is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 847 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), Cancer Genomics and Diagnostics (3 papers), Glycosylation and Glycoproteins Research (2 papers), RNA Interference and Gene Delivery (2 papers), interferon and immune responses (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Immunology (203 citations), Hepatology (56 citations), Molecular Biology (381 citations), Epidemiology (131 citations) and Virology (18 citations). Bo Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chen Wang, She Chen, Kai S. Yang, Nicholas K. Tonks, Ralf M. Luche, Yu Shen, C D Diltz, Lin Jia, Qi Deng and Veneracion G. Cabana. Their work appears in journals such as Carbohydrate Polymers, Biosensors and Bioelectronics, Journal of Molecular Diagnostics, Journal of Lipid Research and Journal of Virology.

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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