Yuhai Bi

36.7k total citations · 7 hit papers
208 papers, 9.4k citations indexed

About

Yuhai Bi is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Yuhai Bi has authored 208 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Epidemiology, 102 papers in Infectious Diseases and 55 papers in Agronomy and Crop Science. Recurrent topics in Yuhai Bi's work include Influenza Virus Research Studies (95 papers), Animal Disease Management and Epidemiology (55 papers) and Respiratory viral infections research (47 papers). Yuhai Bi is often cited by papers focused on Influenza Virus Research Studies (95 papers), Animal Disease Management and Epidemiology (55 papers) and Respiratory viral infections research (47 papers). Yuhai Bi collaborates with scholars based in China, United States and United Kingdom. Yuhai Bi's co-authors include George F. Gao, Gary Wong, Weifeng Shi, Shuo Su, Wenjun Liu, Jiyong Zhou, Jun Liu, Alexander Lai, Wenjun Liu and Yi Shi and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yuhai Bi

198 papers receiving 9.2k citations

Hit Papers

Epidemiology, Genetic Recombination, and Pathogenesis of ... 2013 2026 2017 2021 2016 2018 2013 2020 2020 500 1000 1.5k 2.0k

Peers

Yuhai Bi
Comparison fields: 5 of 172
  • Infectious Diseases 4.7k
  • Epidemiology 3.3k
  • Molecular Biology 2.2k
  • Agronomy and Crop Science 1.5k
  • Animal Science and Zoology 1.2k
Replace Jinghua Yan with:
Jinghua Yan China
Jianxun Qi China
Gary Wong Canada
Yi Shi China
Ming Liao China
Jiyong Zhou China
Johan Neyts Belgium
Takeshi Noda Japan
Jinxia Zhang China
William Barclay United Kingdom
Jinghua Yan China View profile →
Citations per field, relative to Yuhai Bi
Yuhai Bi · 1×
Citations per year, relative to Yuhai Bi
Yuhai Bi · 1×

Countries citing papers authored by Yuhai Bi

Since Specialization
Citations

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

Fields of papers citing papers by Yuhai Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhai Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhai Bi. A scholar is included among the top collaborators of Yuhai Bi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuhai Bi. Yuhai Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 3
4 7
5 3
6 11
7 1
8 2
9 3
10 3
11 37
12 3
13 55
14 5
15 32
16 148
17 27
18 17
19 20
20 2

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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