I-Tung Chen

1.6k citations
13 papers · 1.3k · h-index 13

Impact in

    • Vibrio bacteria research studies
  • Immunology top 2%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

I-Tung Chen

13 papers receiving 1.3k citations

Peers

I-Tung Chen
Comparison fields: 5 of 73
  • Endocrinology 305
  • Immunology 1.1k
  • Aquatic Science 364
  • Insect Science 169
  • Microbiology 44
Replace M. Makesh with:
M. Makesh India
Reiko Nozaki Japan
Suparat Taengchaiyaphum Thailand
Ornchuma Itsathitphaisarn Thailand
Donald D. Ourth United States
Pattana Jaroenlak Thailand
Yun-Tzu Huang Taiwan
Patharapol Piamsomboon Thailand
Anutosh Paria India
Kunlaya Somboonwiwat Thailand
I-Tung Chen relative to M. Makesh India M. Makesh's profile →
Citations per field
00.5×4.9×
M. Makesh · 1×
Citations per year

Countries citing papers authored by I-Tung Chen

Since Specialization
Citations

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

Fields of papers citing papers by I-Tung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2014270
2 2015226
3 2011166
4 2009152
5 2014151
6 2014126
7 201162
8 201653
9 201735
10 201132
11 201220
12 201715
13 201113

About I-Tung Chen

I-Tung Chen is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Insect Science, Molecular Biology and Ecology, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (11 papers), Aquaculture disease management and microbiota (6 papers), Insect symbiosis and bacterial influences (3 papers), Mosquito-borne diseases and control (3 papers), Physiological and biochemical adaptations (2 papers), Vibrio bacteria research studies (2 papers), MicroRNA in disease regulation (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Endocrinology (305 citations), Immunology (1.1k citations), Aquatic Science (364 citations), Insect Science (169 citations) and Microbiology (44 citations). I-Tung Chen has collaborated with scholars based in Taiwan, Thailand and China. Frequent co-authors include Han‐Ching Wang, Chu‐Fang Lo, Yun‐Tzu Huang, Siripong Thitamadee, Kallaya Sritunyalucksana, Geen‐Dong Chang, Takashi Aoki, Bunlung Nuangsaeng, Jyoti Joshi and Orasa Suthienkul. Their work appears in journals such as Fish & Shellfish Immunology, Journal of Virology, PLoS Pathogens, Scientific Reports and Nature Communications.

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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