Young-Mao Chen

931 citations
17 papers · 761 · h-index 8

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • Gut microbiota and health 2
    • Ubiquitin and proteasome pathways 1
    • Aquaculture disease management and microbiota 3
    • Immune Response and Inflammation 2

Young-Mao Chen

16 papers receiving 749 citations

Peers

Young-Mao Chen
Comparison fields: 5 of 82
  • Hepatology 192
  • Immunology 275
  • Biological Psychiatry 22
  • Virology 26
  • Epidemiology 159
Replace Niki Vassilaki with:
Niki Vassilaki Greece
Xiangyang Li China
Amir A. Ghaffari United States
Xiaofang Cui China
Masami Wada Japan
Jacob Verter United States
Terufumi Yokoyama Japan
Wei‐Bei Wang United States
Zhao Jia China
Jun Siong Low United States
Young-Mao Chen relative to Niki Vassilaki Greece Niki Vassilaki's profile →
Citations per field
00.5×3.6×
Niki Vassilaki · 1×
Citations per year

Countries citing papers authored by Young-Mao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Young-Mao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Mao 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 Young-Mao Chen. The network helps show where Young-Mao Chen may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2000162
2 2020131
3 1998117
4 2020107
5 2014103
6 200882
7 201918
8 202212
9 20127
10 20227
11 20215
12 20114
13 20223
14 20241
15 20201
16 20161
17 20240

About Young-Mao Chen

Young-Mao Chen is a scholar working on Molecular Biology, Immunology, Aquatic Science, Infectious Diseases and Physiology, having authored 17 papers that have together received 761 indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (4 papers), Aquaculture disease management and microbiota (3 papers), Reproductive biology and impacts on aquatic species (2 papers), Gut microbiota and health (2 papers), Viral Infections and Vectors (2 papers), Hepatitis C virus research (2 papers), Immune Response and Inflammation (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Hepatology (192 citations), Immunology (275 citations), Biological Psychiatry (22 citations), Virology (26 citations) and Epidemiology (159 citations). Young-Mao Chen has collaborated with scholars based in Taiwan, China and Malaysia. Frequent co-authors include Chau‐Ting Yeh, Yun‐Fan Liaw, Sun‐Lung Tsai, George Kuo, I‐Shyan Sheen, Ting‐Shu Wu, Wei-Fan Lai, Tzu-Lung Lin, Jang‐Jih Lu and Chi-Meng Tzeng. Their work appears in journals such as Protein & Cell, Hepatology, Aquaculture Reports, Fish & Shellfish Immunology and PLoS ONE.

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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