Chin‐Chuan Hung

1.7k citations
59 papers · 1.3k · h-index 21

Impact in

Papers in

    • Drug Transport and Resistance Mechanisms 37
    • Cancer therapeutics and mechanisms 11
    • Natural product bioactivities and synthesis 8

Chin‐Chuan Hung

57 papers receiving 1.3k citations

Peers

Chin‐Chuan Hung
Comparison fields: 5 of 95
  • Pediatrics, Perinatology and Child Health 487
  • Psychiatry and Mental health 373
  • Pharmacology 199
  • Oncology 544
  • Toxicology 68
Replace Masayuki Nadai with:
Masayuki Nadai Japan
Nina Hanke Germany
Yin Cheong Wong Hong Kong
Anita Rudy United States
Andrew Acheampong United States
Alex Hemeryck Belgium
András Váradi Hungary
Noriko Koyabu Japan
John G. Page United States
Robert E. Stratford United States
Chin‐Chuan Hung relative to Masayuki Nadai Japan Masayuki Nadai's profile →
Citations per field
00.5×6.4×
Masayuki Nadai · 1×
Citations per year

Countries citing papers authored by Chin‐Chuan Hung

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Chuan Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200599
2 200490
3 200675
4 201174
5 201162
6 201156
7 201652
8 200752
9 200848
10 202040
11 201339
12 201838
13 201834
14 200933
15 201532
16 201831
17 202030
18 201624
19 202223
20 201821

About Chin‐Chuan Hung

Chin‐Chuan Hung is a scholar working on Oncology, Molecular Biology, Pediatrics, Perinatology and Child Health, Psychiatry and Mental health and Infectious Diseases, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (37 papers), Pharmacological Effects and Toxicity Studies (14 papers), Cancer therapeutics and mechanisms (11 papers), Natural product bioactivities and synthesis (8 papers), Epilepsy research and treatment (7 papers), HIV/AIDS drug development and treatment (6 papers), Bioactive Compounds and Antitumor Agents (4 papers) and Trace Elements in Health (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (487 citations), Psychiatry and Mental health (373 citations), Pharmacology (199 citations), Oncology (544 citations) and Toxicology (68 citations). Chin‐Chuan Hung has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Horng‐Huei Liou, John Jen Tai, Yow‐Wen Hsieh, Yu‐Ning Teng, Chun‐Jung Lin, Chih‐Cheng Chen, Tsung-Jen Hsieh, Charles C. N. Wang, Ming‐Jen Lee and Wei-Lun Chang. Their work appears in journals such as Pharmacogenomics, Phytomedicine, Biomedicine & Pharmacotherapy, European Journal of Medicinal Chemistry and Molecules.

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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