Chia‐Chyi Liu

2.2k citations
59 papers · 1.9k · h-index 25

Impact in

Papers in

Chia‐Chyi Liu

58 papers receiving 1.8k citations

Peers

Chia‐Chyi Liu
Comparison fields: 5 of 90
  • Cardiology and Cardiovascular Medicine 1.4k
  • Infectious Diseases 972
  • Agronomy and Crop Science 541
  • Animal Science and Zoology 125
  • Epidemiology 248
Replace Sophie Guillot with:
Sophie Guillot France
Hour‐Young Chen Taiwan
Zhongyu Hu China
István Kiss Hungary
Leticia Cedillo‐Barrón Mexico
Y. Z. Ghendon Russia
Nozomu Hanaoka Japan
André Jestin France
Shaobin Shang China
Chia‐Chyi Liu relative to Sophie Guillot France Sophie Guillot's profile →
Citations per field
00.5×2.8×
Sophie Guillot · 1×
Citations per year

Countries citing papers authored by Chia‐Chyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Chyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011153
2 2011120
3 2014111
4 201392
5 201377
6 200668
7 201267
8 200465
9 201365
10 201263
11 201359
12 201459
13 201158
14 201256
15 201349
16 201247
17 200544
18 201844
19 199841
20 201639

About Chia‐Chyi Liu

Chia‐Chyi Liu is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Agronomy and Crop Science, Epidemiology and Molecular Biology, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (38 papers), Viral gastroenteritis research and epidemiology (27 papers), Animal Disease Management and Epidemiology (15 papers), Influenza Virus Research Studies (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Respiratory viral infections research (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Infectious Diseases (972 citations), Agronomy and Crop Science (541 citations), Animal Science and Zoology (125 citations) and Epidemiology (248 citations). Chia‐Chyi Liu has collaborated with scholars based in Taiwan, Japan and Canada. Frequent co-authors include Pele Chong, Yen‐Hung Chow, Charles Sia, Suh‐Chin Wu, Ai‐Hsiang Chou, Chih‐Yeu Fang, Shih‐Jen Liu, Kuang-Nan Hsiao, Ai-Hsiang Chou and Michael Butler. Their work appears in journals such as PLoS ONE, Vaccine, Antiviral Research, Journal of Virology and BioMed Research International.

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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