C.-W. Chi

707 citations
24 papers · 619 · h-index 15

Impact in

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 5
    • Flavonoids in Medical Research 3
    • Pharmacogenetics and Drug Metabolism 2

C.-W. Chi

24 papers receiving 595 citations

Peers

C.-W. Chi
Comparison fields: 5 of 69
  • Hepatology 126
  • Cancer Research 52
  • Drug Discovery 1
  • Pharmacology 31
  • Biochemistry 19
Replace El‐Sayed Akool with:
El‐Sayed Akool Egypt
Susan E. Donohue United States
Nathalie Vadrot France
Cristián Favre Argentina
Ron Pinkus Israel
Xiaopeng Ou United States
Chien‐Heng Shen Taiwan
Yihong Kaufmann United States
Yongxia Yang China
C.-W. Chi relative to El‐Sayed Akool Egypt El‐Sayed Akool's profile →
Citations per field
00.5×2×3×3.9×
El‐Sayed Akool · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006103
2 199943
3 200943
4 200741
5 200941
6 200736
7 200836
8 200432
9 199531
10 199630
11 200826
12 201122
13 200018
14 200818
15 199715
16 200015
17 200515
18 200411
19 199110
20 199810

About C.-W. Chi

C.-W. Chi is a scholar working on Hepatology, Pharmacology, Pharmacology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 24 papers that have together received 619 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Alzheimer's disease research and treatments (3 papers), Flavonoids in Medical Research (3 papers), Carcinogens and Genotoxicity Assessment (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Mitochondrial Function and Pathology (2 papers), Cell death mechanisms and regulation (2 papers) and Boron Compounds in Chemistry (2 papers). The work is most often cited by research in Hepatology (126 citations), Cancer Research (52 citations), Drug Discovery (1 citation), Pharmacology (31 citations) and Biochemistry (19 citations). C.-W. Chi has collaborated with scholars based in Taiwan and United States. Frequent co-authors include W Y Lui, F.I. Chou, Shin‐Da Lee, Teh‐Ia Huo, J.‐C. Wu, Cheng‐Yuan Hsia, Hsin‐Chen Lee, G Y Chau, Pei‐Ling Chao and James Chih‐Hsin Yang. Their work appears in journals such as Dementia and Geriatric Cognitive Disorders, Toxicology and Applied Pharmacology, European Journal of Surgical Oncology, Carcinogenesis and Journal of Ethnopharmacology.

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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