Chia‐Ying Liu

42 papers receiving 1.3k citations

Peers

Chia‐Ying Liu
Comparison fields: 5 of 106
  • Endocrinology 359
  • Molecular Medicine 272
  • Microbiology 35
  • Applied Microbiology and Biotechnology 62
  • Clinical Biochemistry 199
Replace Michael A. Lewinski with:
Michael A. Lewinski United States
Hossein Salimnia United States
Abdessalam Cherkaoui Switzerland
Ingrid Wybo Belgium
P E Coudron United States
Kyeong Seob Shin South Korea
Evgeny A. Idelevich Germany
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Deepthi Nair India
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Citations per field
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Michael A. Lewinski · 1×
Citations per year

Countries citing papers authored by Chia‐Ying Liu

Since Specialization
Citations

This map shows the geographic impact of Chia‐Ying 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‐Ying 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‐Ying Liu more than expected).

Fields of papers citing papers by Chia‐Ying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992175
2 2008121
3 2016106
4 201197
5 201194
6 201367
7 201255
8 200650
9 200948
10 201041
11 201138
12 201138
13 200832
14 201931
15 201030
16 201428
17 201827
18 201127
19 201221
20 200821

About Chia‐Ying Liu

Chia‐Ying Liu is a scholar working on Molecular Medicine, Epidemiology, Pharmacology, Endocrinology and Infectious Diseases, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Streptococcal Infections and Treatments (4 papers), Vibrio bacteria research studies (3 papers), Pneumonia and Respiratory Infections (3 papers), Infectious Diseases and Mycology (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Endocrinology (359 citations), Molecular Medicine (272 citations), Microbiology (35 citations), Applied Microbiology and Biotechnology (62 citations) and Clinical Biochemistry (199 citations). Chia‐Ying Liu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Po‐Ren Hsueh, Chun‐Hsing Liao, Yu‐Tsung Huang, Yao‐Chung Chuang, Angus Huang, Cunzhong Yuan, Chieh Lan, Chia‐Jui Yang, Lee‐Jene Teng and Aristine Cheng. Their work appears in journals such as Journal of Microbiology Immunology and Infection, European Journal of Clinical Microbiology & Infectious Diseases, Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology and International Journal of Antimicrobial Agents.

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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