Rei-Lin Kuo

2.3k citations
15 papers · 1.6k indexed · 1 hit paper · h-index 14
Topics
Influenza Virus Research Studies (7 papers)interferon and immune responses (6 papers)RNA and protein synthesis mechanisms (5 papers)

In The Last Decade

Rei-Lin Kuo

15 papers receiving 1.6k citations

Hit Papers

COVID-19: The first documented coronavirus pandemic in hi...20202026202220242020100200300400500

Peers

Rei-Lin Kuo
Comparison fields: 5 of 150
  • Epidemiology 669
  • Immunology 555
  • Infectious Diseases 479
  • Molecular Biology 431
  • Agronomy and Crop Science 120
Replace Alyson A. Kelvin with:
Alyson A. Kelvin Canada
Xiliang Wang China
Lunan Wang China
Jinjong Myoung South Korea
Kit‐San Yuen Hong Kong
Chi‐Ping Chan Hong Kong
Yuelong Shu China
Gkikas Magiorkinis Greece
Chungen Pan China
Jon Cohen United States
Rei-Lin Kuo relative to Alyson A. Kelvin Canada Alyson A. Kelvin's profile →
Citations per field
00.5×
Alyson A. Kelvin · 1×
Citations per year

Countries citing papers authored by Rei-Lin Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Rei-Lin Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rei-Lin Kuo. 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 Rei-Lin Kuo. The network helps show where Rei-Lin Kuo may publish in the future.

Co-authorship network of co-authors of Rei-Lin Kuo

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 83
2
COVID-19: The first documented coronavirus pandemic in historybreakdown →
567
3 22
4 41
5 51
6 41
7 38
8 187
9 104
10 186
11 118
12 156
13 22
14 5
15 13

About Rei-Lin Kuo

Rei-Lin Kuo is a scholar working on Epidemiology, Immunology and Endocrinology, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), interferon and immune responses (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Immunology (555 citations), Infectious Diseases (479 citations) and Epidemiology (669 citations). Rei-Lin Kuo has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Shin‐Ru Shih, Yen‐Chin Liu, Robert M. Krug, Karen Y. Twu, Tien-Ying Hsiang, Chen Zhao, Diana L. Noah, P. Nagesh Rao, Li-Chung Ma and James M. Aramini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Virology.

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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