Chin-I Chang

853 citations
14 papers · 685 · h-index 13

Impact in

    • Antimicrobial Peptides and Activities
  • Immunology top 5%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

    • Aquaculture disease management and microbiota 12
    • Invertebrate Immune Response Mechanisms 6
    • Identification and Quantification in Food 2
    • Genomics and Phylogenetic Studies 1

Chin-I Chang

14 papers receiving 651 citations

Peers

Chin-I Chang
Comparison fields: 5 of 73
  • Microbiology 255
  • Immunology 551
  • Aquatic Science 139
  • Insect Science 90
  • Endocrinology 28
Replace Fangyi Chen with:
Fangyi Chen China
Nuala A. O’Leary United States
Yulema Valero Spain
Leidy Lagos Norway
Xiu-Zhen Shi China
Reiko Nozaki Japan
Yongquan Su China
T.A. Jose Priya India
Alí Pereyra Mexico
Yunji Xiu China
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Citations per field
00.5×11.7×
Fangyi Chen · 1×
Citations per year

Countries citing papers authored by Chin-I Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chin-I Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Chin-I Chang, 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-I Chang Line = papers co-authored together Chin-I Chang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2005146
2 2005116
3 200494
4 199889
5 200952
6 201332
7 201826
8 201226
9 201423
10 201222
11 200920
12 201619
13 202114
14 20176

About Chin-I Chang

Chin-I Chang is a scholar working on Immunology, Molecular Biology, Microbiology, Insect Science and Aquatic Science, having authored 14 papers that have together received 685 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (12 papers), Invertebrate Immune Response Mechanisms (6 papers), Insect symbiosis and bacterial influences (4 papers), Antimicrobial Peptides and Activities (4 papers), Aquaculture Nutrition and Growth (3 papers), Identification and Quantification in Food (2 papers), Animal Nutrition and Physiology (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Microbiology (255 citations), Immunology (551 citations), Aquatic Science (139 citations), Insect Science (90 citations) and Endocrinology (28 citations). Chin-I Chang has collaborated with scholars based in Taiwan, United Kingdom and China. Frequent co-authors include Christopher J. Secombes, Jun Zou, Yong‐An Zhang, Pin Nie, Olga Pleguezuelos, Kuan-Fu Liu, Chu‐Fang Lo, G. H. Kou, Jinn-Rong Hseu and Tser‐Yieth Chen. Their work appears in journals such as Fish & Shellfish Immunology, Infection and Immunity, Veterinary Immunology and Immunopathology, Antimicrobial Agents and Chemotherapy and Sensors.

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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