Liu Ch

109 papers receiving 926 citations

Peers

Liu Ch
Comparison fields: 5 of 116
  • Small Animals 119
  • Virology 54
  • Equine 17
  • Microbiology 61
  • Pulmonary and Respiratory Medicine 219
Replace Kazuhito ITAMOTO with:
Kazuhito ITAMOTO Japan
Charles W. Leathers United States
Gordon A. Andrews United States
Takao Kotani Japan
Nancy Stedman United States
Susumu TATEYAMA Japan
Gustavo Ramírez Spain
Yoshiyasu KOBAYASHI Japan
Pamela E. Ginn United States
Philip Padrid United States
Liu Ch relative to Kazuhito ITAMOTO Japan Kazuhito ITAMOTO's profile →
Citations per field
00.5×1.5×2.1×
Kazuhito ITAMOTO · 1×
Citations per year

Countries citing papers authored by Liu Ch

Since Specialization
Citations

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

Fields of papers citing papers by Liu Ch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200878
2 200966
3 200639
4 199439
5 201230
6 201228
7 199725
8 201324
9 200523
10 201521
11
Plasma vitamins A and E and red blood cell fatty acid profile in newborns and their mothers.
199620
12 201119
13 201819
14
Multidrug-resistant tuberculosis is associated with low plasma concentrations of human neutrophil peptides 1-3.
201119
15 200618
16 201118
17 201316
18 201416
19
Metastasis associated in colon cancer 1 (MACC1) promotes growth and metastasis processes of colon cancer cells.
201616
20 201816

About Liu Ch

Liu Ch is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Molecular Biology, Epidemiology and Surgery, having authored 118 papers that have together received 1.0k indexed citations. Recurring topics across this work include Veterinary Oncology Research (16 papers), Virus-based gene therapy research (9 papers), Oral and Maxillofacial Pathology (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Rabies epidemiology and control (5 papers), Microbial infections and disease research (5 papers), Human-Animal Interaction Studies (4 papers) and Veterinary Medicine and Surgery (4 papers). The work is most often cited by research in Small Animals (119 citations), Virology (54 citations), Equine (17 citations), Microbiology (61 citations) and Pulmonary and Respiratory Medicine (219 citations). Liu Ch has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Pei‐Yi Chu, Chung‐Tien Lin, Albert Taiching Liao, Lih‐Seng Yeh, Victor Fei Pang, Jih‐Jong Lee, Rea‐Min Chu, Robert Higgins, Ya-Wen Hsiao and Kathleen A. Funk. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, BMC Veterinary Research, Journal of Feline Medicine and Surgery, Journal of Comparative Pathology and Preventive Veterinary Medicine.

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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