Linbai Ye

1.8k citations
36 papers · 1.2k indexed · h-index 18

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology

Papers in

Linbai Ye

35 papers receiving 1.2k citations

Peers

Linbai Ye
Comparison fields: 5 of 93
  • Hepatology 197
  • Infectious Diseases 450
  • Animal Science and Zoology 197
  • Cell Biology 208
  • Immunology 213
Replace Zhenghui Wu with:
Zhenghui Wu China
Chia-Yi Yu Taiwan
Laurent Fischer France
Chikako Ono Japan
Shubham Shrivastava United States
Jamie L. Fornek United States
Yasuo Ariumi Japan
Kenneth S. S. Chang United States
Hendrik Jan Thibaut Belgium
Keith D. Tardif United States
Linbai Ye relative to Zhenghui Wu China Zhenghui Wu's profile →
Citations per field
00.5×1.5×2.2×
Zhenghui Wu · 1×
Citations per year

Countries citing papers authored by Linbai Ye

Since Specialization
Citations

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

Fields of papers citing papers by Linbai Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201616
2 20169
3 20158
4 20093
5 200825
6 20088
7 200778
8 2007201
9 200717
10 200765
11 2006116
12 200617
13 200638
14 200524
15 200583
16 200512
17 200511
18 200445
19 20023
20 198720

About Linbai Ye

Linbai Ye is a scholar working on Hepatology, Animal Science and Zoology, Infectious Diseases, Immunology and Virology, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (15 papers), Animal Virus Infections Studies (8 papers), Hepatitis B Virus Studies (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Viral gastroenteritis research and epidemiology (6 papers), interferon and immune responses (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Hepatology (197 citations), Infectious Diseases (450 citations), Animal Science and Zoology (197 citations), Cell Biology (208 citations) and Immunology (213 citations). Linbai Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhenghui Wu, Lingbao Kong, Hong Zheng, Xiaonan Fang, Baozong Li, Yinglong She, Yingchun Zeng, Bo Gao, Ye Li and Shanshan Li. Their work appears in journals such as Virus Research, BMB Reports, Archives of Virology, Journal of Virology and Biochemical and Biophysical Research Communications.

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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