Yanwei Bi

449 citations
15 papers · 329 · h-index 9

Impact in

    • Hepatitis C virus research
    • Herpesvirus Infections and Treatments
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies
    • Cytomegalovirus and herpesvirus research

Papers in

    • Herpesvirus Infections and Treatments 3
    • Liver Disease Diagnosis and Treatment 2
    • Respiratory viral infections research 2
    • CRISPR and Genetic Engineering 3

Yanwei Bi

15 papers receiving 325 citations

Peers

Yanwei Bi
Comparison fields: 5 of 52
  • Hepatology 30
  • Epidemiology 116
  • Virology 13
  • Molecular Biology 178
  • Genetics 59
Replace Baorong Chi with:
Baorong Chi China
S Tabata Japan
Haruhiko Sano Japan
Yujia Zhai China
Congle Shen China
Christina Gehrke Germany
Nerea Razquin Spain
Derek Patel United States
Ludovic Aillot France
Tabinda Hussain Australia
Yanwei Bi relative to Baorong Chi China Baorong Chi's profile →
Citations per field
00.5×1.5×2.1×
Baorong Chi · 1×
Citations per year

Countries citing papers authored by Yanwei Bi

Since Specialization
Citations

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

Fields of papers citing papers by Yanwei Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2014128
2 200644
3 201834
4 201922
5 202019
6 201718
7 202118
8 201713
9 202010
10 20206
11 20206
12 20206
13 20212
14 20252
15 20251

About Yanwei Bi

Yanwei Bi is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Immunology and Genetics, having authored 15 papers that have together received 329 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (3 papers), CRISPR and Genetic Engineering (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Respiratory viral infections research (2 papers), Plant Virus Research Studies (2 papers), Hepatitis C virus research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Hepatology (30 citations), Epidemiology (116 citations), Virology (13 citations), Molecular Biology (178 citations) and Genetics (59 citations). Yanwei Bi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wei Cun, Yadong Li, Qihan Li, Le Sun, Zhihua Li, Chen Ding, Dandan Gao, Zhongchao Han, Bin Zhou and Xiaofei Yu. Their work appears in journals such as Journal of General Virology, Journal of Thrombosis and Haemostasis, Virus Research, Molecular Immunology and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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