Li‐Ching Hsu

1.1k citations
25 papers · 957 · h-index 19

Impact in

Papers in

    • Respiratory viral infections research 9
    • Influenza Virus Research Studies 8
    • Hepatitis B Virus Studies 2
    • Viral gastroenteritis research and epidemiology 5
    • Viral Infections and Vectors 2

Li‐Ching Hsu

25 papers receiving 933 citations

Peers

Li‐Ching Hsu
Comparison fields: 5 of 82
  • Infectious Diseases 358
  • Cardiology and Cardiovascular Medicine 339
  • Agronomy and Crop Science 130
  • Epidemiology 326
  • Hepatology 52
Replace Mai Quynh Le with:
Mai Quynh Le Vietnam
Mamadou Dramé Belgium
Tao Yun China
Jacqueline King Germany
Prasanna Yergolkar India
Nguyen Thi Kim Tien Vietnam
B. Hull Switzerland
Gúbio Soares Campos Brazil
Zhijun Bai China
Fiona Scott United Kingdom
Li‐Ching Hsu relative to Mai Quynh Le Vietnam Mai Quynh Le's profile →
Citations per field
00.5×8.3×
Mai Quynh Le · 1×
Citations per year

Countries citing papers authored by Li‐Ching Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Ching Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Ching Hsu. 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 Li‐Ching Hsu. The network helps show where Li‐Ching Hsu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007114
2 200598
3 200490
4 201785
5 201260
6 200859
7 199753
8 199741
9 201037
10 201437
11 201134
12 201232
13 201125
14 200824
15 201024
16 199821
17 201621
18 200720
19 199818
20 201117

About Li‐Ching Hsu

Li‐Ching Hsu is a scholar working on Epidemiology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Molecular Biology and Animal Science and Zoology, having authored 25 papers that have together received 957 indexed citations. Recurring topics across this work include Respiratory viral infections research (9 papers), Influenza Virus Research Studies (8 papers), Viral Infections and Immunology Research (7 papers), Viral gastroenteritis research and epidemiology (5 papers), RNA and protein synthesis mechanisms (4 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Infectious Diseases (358 citations), Cardiology and Cardiovascular Medicine (339 citations), Agronomy and Crop Science (130 citations), Epidemiology (326 citations) and Hepatology (52 citations). Li‐Ching Hsu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ho-Sheng Wu, Yuan-Pin Huang, Tsuey‐Li Lin, Ming‐Tsan Liu, Hsueh‐Chih Chen, Ming‐Yi Liau, Wei‐Cheng Lian, Suh‐Chin Wu, Jyh‐Yuan Yang and Ji‐Rong Yang. Their work appears in journals such as Virus Research, Journal of Medical Virology, PLoS ONE, Emerging infectious diseases and Thinking Skills and Creativity.

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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