Mark Hung‐Chih Chen

18 papers receiving 457 citations

Peers

Mark Hung‐Chih Chen
Comparison fields: 5 of 84
  • Aquatic Science 105
  • Surfaces, Coatings and Films 40
  • Physiology 21
  • Aging 8
  • Immunology 89
Replace Zhibin Lu with:
Zhibin Lu China
Madhusudhan R. Papasani United States
Hiroaki Kasukawa Japan
Taro Watanabe Japan
Rob Hanssen Netherlands
Philipp Knyphausen Germany
Alessandra Livigni United Kingdom
Juhi Samal India
Meiling Yang China
Sönke Harder Germany
Mark Hung‐Chih Chen relative to Zhibin Lu China Zhibin Lu's profile →
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Citations per year

Countries citing papers authored by Mark Hung‐Chih Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mark Hung‐Chih Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20219
2 201417
3 201436
4 201425
5 20144
6 201313
7 201030
8
Immunotherapy of breast cancer by single delivery with rAAV2-mediated interleukin-15 expression.
201023
9 200995
10 200812
11 200754
12 200623
13 200613
14 200416
15 200270
16 200213
17 20017
18
Cloning and Characterization of Insulin-like Growth Factor I cDNA from Black Seabream (Acanthopagrus schlegeli )
199810

About Mark Hung‐Chih Chen

Mark Hung‐Chih Chen is a scholar working on Aging, Aquatic Science, Surfaces, Coatings and Films, Hepatology and Physiology, having authored 18 papers that have together received 470 indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (3 papers), Epigenetics and DNA Methylation (3 papers), Animal Genetics and Reproduction (3 papers), Virus-based gene therapy research (2 papers), Liver physiology and pathology (2 papers), MicroRNA in disease regulation (2 papers), Adipose Tissue and Metabolism (2 papers) and Physiological and biochemical adaptations (2 papers). The work is most often cited by research in Aquatic Science (105 citations), Surfaces, Coatings and Films (40 citations), Physiology (21 citations), Aging (8 citations) and Immunology (89 citations). Mark Hung‐Chih Chen has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Hong‐Yi Gong, Jen‐Leih Wu, Shao‐Yang Hu, Gen-Hwa Lin, Jenn‐Kan Lu, Ching‐Feng Weng, Cliff Ji‐Fan Lin, Ching‐Yi Cheng, Chih‐Hao Chang and Pung‐Pung Hwang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Advanced Functional Materials, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Gene and Journal of Materials Chemistry B.

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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