Shih‐Jen Liu

3.4k citations
115 papers · 2.8k indexed · h-index 28
Topics
Immunotherapy and Immune Responses (57 papers)SARS-CoV-2 and COVID-19 Research (22 papers)Immune Response and Inflammation (18 papers)
Journals
SHILAP Revista de lepidopterologíaBloodThe Journal of Immunology
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Shih‐Jen Liu

114 papers receiving 2.7k citations

Peers

Shih‐Jen Liu
Comparison fields: 5 of 118
  • Immunology 1.2k
  • Infectious Diseases 879
  • Molecular Biology 766
  • Epidemiology 482
  • Oncology 433
Replace Andrew G. D. Bean with:
Andrew G. D. Bean Australia
Jean‐Pierre Y. Scheerlinck Australia
Suresh K. Mittal United States
Yasuko Orba Japan
Luis A. Brito United States
De‐chu C. Tang United States
Robert J. Hogan United States
Philippe Saudan Switzerland
Hong M. Moulton United States
Robert Daniels United States
Shih‐Jen Liu relative to Andrew G. D. Bean Australia Andrew G. D. Bean's profile →
Citations per field
00.5×1.5×
Andrew G. D. Bean · 1×
Citations per year

Countries citing papers authored by Shih‐Jen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Jen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Jen Liu. 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 Shih‐Jen Liu. The network helps show where Shih‐Jen Liu may publish in the future.

Co-authorship network of co-authors of Shih‐Jen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Jen Liu. A scholar is included among the top collaborators of Shih‐Jen Liu 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 Shih‐Jen Liu. Shih‐Jen Liu 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
#WorkIndexed citations
1 14
2 0
3 1
4 1
5 6
6 22
7 10
8 5
9 14
10 17
11 85
12 9
13 14
14 33
15 21
16 7
17 35
18 13
19 3
20 15

About Shih‐Jen Liu

Shih‐Jen Liu is a scholar working on Immunology, Infectious Diseases and Microbiology, having authored 115 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (57 papers), SARS-CoV-2 and COVID-19 Research (22 papers) and Immune Response and Inflammation (18 papers). The work is most often cited by research in Immunology (1.2k citations), Infectious Diseases (879 citations) and Microbiology (121 citations). Shih‐Jen Liu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Pele Chong, Hsin–Wei Chen, Chih‐Hsiang Leng, Kuan‐Yin Shen, Mei‐Yu Chen, Ming‐Hsi Huang, Yuan Chen, Yuh‐Pyng Sher, Chen-Yi Chiang and Hsueh‐Hung Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

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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