Dayue Chen

2.7k citations
95 papers · 1.9k · h-index 24

Impact in

Papers in

Dayue Chen

88 papers receiving 1.9k citations

Peers

Dayue Chen
Comparison fields: 5 of 147
  • Infectious Diseases 685
  • Animal Science and Zoology 330
  • Aging 42
  • Cell Biology 262
  • Cardiology and Cardiovascular Medicine 291
Replace Maija Vihinen‐Ranta with:
Maija Vihinen‐Ranta Finland
Yasuko Orba Japan
Rodney Colina Uruguay
David A. Stein United States
Kin‐Chow Chang United Kingdom
Robert C. Orchard United States
Kenji Murakami Japan
Xi Zhou China
Nihal Altan‐Bonnet United States
Craig B. Wilen United States
Dayue Chen relative to Maija Vihinen‐Ranta Finland Maija Vihinen‐Ranta's profile →
Citations per field
00.5×5.3×
Maija Vihinen‐Ranta · 1×
Citations per year

Countries citing papers authored by Dayue Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dayue Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998327
2 1998197
3 199997
4 199970
5 199865
6 201157
7 199452
8 199949
9 200048
10 200147
11 200146
12 199043
13 198940
14 201536
15 199236
16 200135
17 201835
18 201333
19 201133
20 200433

About Dayue Chen

Dayue Chen is a scholar working on Infectious Diseases, Genetics, Mathematical Physics, Molecular Biology and Statistics and Probability, having authored 95 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (23 papers), Stochastic processes and statistical mechanics (21 papers), Viral gastroenteritis research and epidemiology (21 papers), Markov Chains and Monte Carlo Methods (12 papers), Theoretical and Computational Physics (9 papers), Viral Infections and Immunology Research (9 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers) and Animal Virus Infections Studies (7 papers). The work is most often cited by research in Infectious Diseases (685 citations), Animal Science and Zoology (330 citations), Aging (42 citations), Cell Biology (262 citations) and Cardiology and Cardiovascular Medicine (291 citations). Dayue Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include John T. Patton, Angela Wandinger‐Ness, Yan Feng, Wei Chen, Robert F. Ramig, Zenobia F. Taraporewala, James M. Kramer, Richard I. Morimoto, Susan G. Fox and Zhenyu Huang. Their work appears in journals such as Virology, Biotechnology and Bioengineering, Biotechnology Progress, Journal of Virology and Stochastic Processes and their Applications.

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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