C.-W. Chi

803 citations
26 papers · 653 · h-index 16

Impact in

Papers in

    • DNA Repair Mechanisms 2
    • Retinoids in leukemia and cellular processes 2
    • Cholinesterase and Neurodegenerative Diseases 2

C.-W. Chi

26 papers receiving 636 citations

Peers

C.-W. Chi
Comparison fields: 5 of 82
  • Hepatology 91
  • Cancer Research 89
  • Pharmacology 31
  • Molecular Biology 204
  • Periodontics 12
Replace Chin-Wen Chi with:
Chin-Wen Chi Taiwan
Qiao Yang China
Xuping Yang China
Yining Lin China
Hongxi Wu China
Aravind T. Reddy United States
Hongmei Luo China
Karin Brecht Switzerland
Praveen Kusumanchi United States
Jason S. Isenberg United States
C.-W. Chi relative to Chin-Wen Chi Taiwan Chin-Wen Chi's profile →
Citations per field
00.5×4.8×
Chin-Wen Chi · 1×
Citations per year

Countries citing papers authored by C.-W. Chi

Since Specialization
Citations

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

Fields of papers citing papers by C.-W. Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.-W. Chi. 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 C.-W. Chi. The network helps show where C.-W. Chi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006102
2 200556
3 200942
4 199940
5 200938
6 200737
7 200734
8 200831
9 200429
10 199628
11 199527
12 200825
13 201121
14 201819
15 200818
16 200018
17 200513
18 200013
19 199712
20 199111

About C.-W. Chi

C.-W. Chi is a scholar working on Molecular Biology, Pharmacology, Genetics, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 26 papers that have together received 653 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), DNA Repair Mechanisms (2 papers), Alzheimer's disease research and treatments (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Liver physiology and pathology (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Hepatology (91 citations), Cancer Research (89 citations), Pharmacology (31 citations), Molecular Biology (204 citations) and Periodontics (12 citations). C.-W. Chi has collaborated with scholars based in Taiwan, Czechia and United States. Frequent co-authors include W Y Lui, Hsien‐Li Kao, F.I. Chou, Teh‐Ia Huo, Shang‐Lun Chiang, Cheng‐Yuan Hsia, Shin‐Da Lee, J.‐C. Wu, Wing‐Yee Lui and Hsing‐Yi Chung. Their work appears in journals such as European Journal of Surgical Oncology, Dementia and Geriatric Cognitive Disorders, Toxicology and Applied Pharmacology, Carcinogenesis and Nuclear Medicine and Biology.

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.

Explore authors with similar magnitude of impact