Ya-Nan Dai

1.6k total citations
18 papers, 412 citations indexed

About

Ya-Nan Dai is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Ya-Nan Dai has authored 18 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Ya-Nan Dai's work include Respiratory viral infections research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (3 papers). Ya-Nan Dai is often cited by papers focused on Respiratory viral infections research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (3 papers). Ya-Nan Dai collaborates with scholars based in China, United States and Netherlands. Ya-Nan Dai's co-authors include Daved H. Fremont, Yuxing Chen, Cong‐Zhao Zhou, Arthur S. Kim, Haiyan Zhao, Thomas J. Smith, Roderick A. Stegeman, Robert C. Orchard, Craig B. Wilen and Christopher A. Nelson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

In The Last Decade

Ya-Nan Dai

18 papers receiving 403 citations

Peers

Ya-Nan Dai
Comparison fields: 5 of 73
  • Infectious Diseases 229
  • Epidemiology 112
  • Molecular Biology 111
  • Immunology 75
  • Animal Science and Zoology 57
Kun Cai China
Xia Cai China
Sabine Nakowitsch Austria
Guozhi Wang China
Haoru Zhu China
Angela Luttick Australia
Jessie Chang United States
Kirsten Bentley United Kingdom
Yiyu Lu China
Zhengdong Zhao China
Kun Cai China View profile →
Citations per field, relative to Ya-Nan Dai
Ya-Nan Dai · 1×
Citations per year, relative to Ya-Nan Dai
Ya-Nan Dai · 1×

Countries citing papers authored by Ya-Nan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Nan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya-Nan Dai. 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 Ya-Nan Dai. The network helps show where Ya-Nan Dai may publish in the future.

Co-authorship network of co-authors of Ya-Nan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Ya-Nan Dai. A scholar is included among the top collaborators of Ya-Nan Dai 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 Ya-Nan Dai. Ya-Nan Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 1
3 11
4 22
5 2
6 102
7 36
8 1
9 5
10 47
11 7
12 18
13 88
14 14
15 20
16 6
17 26
18 5

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026