Chia‐Chin Li

400 citations
29 papers · 295 · h-index 9

Impact in

Papers in

Chia‐Chin Li

28 papers receiving 291 citations

Peers

Chia‐Chin Li
Comparison fields: 5 of 44
  • Molecular Medicine 131
  • Endocrinology 38
  • Applied Microbiology and Biotechnology 10
  • Clinical Biochemistry 15
  • Epidemiology 59
Replace Fatemeh Sameni with:
Fatemeh Sameni Iran
Do Young Song South Korea
Sun Young Won South Korea
Jason D. Pimentel United States
Shyh-Ren Chiang Taiwan
Wen‐Sen Lee Taiwan
D. W. Wilbur United States
C. Lawrence France
Roopali Sharma United States
Sanjay Biswas India
Chia‐Chin Li relative to Fatemeh Sameni Iran Fatemeh Sameni's profile →
Citations per field
00.5×10×15×21×
Fatemeh Sameni · 1×
Citations per year

Countries citing papers authored by Chia‐Chin Li

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Chin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201073
2 201134
3 201532
4 201724
5 201022
6 201817
7 201813
8 201513
9 20189
10 20198
11 20217
12 20185
13 20214
14 20224
15 20134
16 20194
17 20203
18 20193
19 20223
20 20222

About Chia‐Chin Li

Chia‐Chin Li is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Medicine, Oncology and Pharmacology, having authored 29 papers that have together received 295 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (8 papers), Antibiotic Resistance in Bacteria (6 papers), Colorectal Cancer Surgical Treatments (4 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Lung Cancer Treatments and Mutations (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Head and Neck Cancer Studies (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Molecular Medicine (131 citations), Endocrinology (38 citations), Applied Microbiology and Biotechnology (10 citations), Clinical Biochemistry (15 citations) and Epidemiology (59 citations). Chia‐Chin Li has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chun‐Chih Chien, Chen‐Hsiang Lee, Lin‐Hui Su, Jien-Wei Liu, Chun‐Ru Chien, Ya‐Fen Tang, Ji‐An Liang, Hsin‐Yuan Fang, Huey‐Ling You and Te‐Chun Hsia. Their work appears in journals such as Anticancer Research, BMC Gastroenterology, British Journal of Radiology, Antimicrobial Agents and Chemotherapy and Infection and Drug Resistance.

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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