Chin-I Chang

853 total citations
14 papers, 685 citations indexed

About

Chin-I Chang is a scholar working on Immunology, Molecular Biology and Microbiology. According to data from OpenAlex, Chin-I Chang has authored 14 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Microbiology. Recurrent topics in Chin-I Chang's work include Aquaculture disease management and microbiota (12 papers), Invertebrate Immune Response Mechanisms (6 papers) and Insect symbiosis and bacterial influences (4 papers). Chin-I Chang is often cited by papers focused on Aquaculture disease management and microbiota (12 papers), Invertebrate Immune Response Mechanisms (6 papers) and Insect symbiosis and bacterial influences (4 papers). Chin-I Chang collaborates with scholars based in Taiwan, United Kingdom and China. Chin-I Chang's co-authors include Yong‐An Zhang, Christopher J. Secombes, Jun Zou, Pin Nie, Olga Pleguezuelos, Kuan-Fu Liu, Chu‐Fang Lo, G. H. Kou, Jinn-Rong Hseu and Tser‐Yieth Chen and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Infection and Immunity and Sensors.

In The Last Decade

Chin-I Chang

14 papers receiving 651 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chin-I Chang Taiwan 13 551 255 154 139 90 14 685
Fangyi Chen China 16 321 0.6× 260 1.0× 236 1.5× 72 0.5× 51 0.6× 49 601
Yulema Valero Spain 19 634 1.2× 238 0.9× 163 1.1× 171 1.2× 21 0.2× 31 768
Leidy Lagos Norway 18 453 0.8× 70 0.3× 236 1.5× 265 1.9× 118 1.3× 32 788
T.A. Jose Priya India 9 442 0.8× 64 0.3× 99 0.6× 113 0.8× 75 0.8× 17 530
Reiko Nozaki Japan 15 537 1.0× 85 0.3× 148 1.0× 162 1.2× 68 0.8× 50 714
Alí Pereyra Mexico 12 583 1.1× 66 0.3× 108 0.7× 180 1.3× 130 1.4× 29 724
Nuala A. O’Leary United States 11 601 1.1× 181 0.7× 189 1.2× 105 0.8× 140 1.6× 16 780
Xiu-Zhen Shi China 19 706 1.3× 131 0.5× 208 1.4× 99 0.7× 229 2.5× 31 904
Amod Kulkarni Slovakia 12 341 0.6× 43 0.2× 141 0.9× 172 1.2× 64 0.7× 29 504
M. Dhanaraj India 10 266 0.5× 83 0.3× 65 0.4× 161 1.2× 21 0.2× 19 434

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-authorship network of co-authors of Chin-I Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chin-I Chang. A scholar is included among the top collaborators of Chin-I Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chin-I Chang. Chin-I Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Huang, Chang‐Wen, Chung‐Yen Lin, Te‐Hua Hsu, et al.. (2021). Development of Disease-Resistance-Associated Microsatellite DNA Markers for Selective Breeding of Tilapia (Oreochromis spp.) Farmed in Taiwan. Genes. 13(1). 99–99. 14 indexed citations
2.
Chen, Tser‐Yieth, Tsai‐Lien Yeh, & Chin-I Chang. (2018). How different advertising formats and calls to action on videos affect advertising recognition and consequent behaviours. Service Industries Journal. 40(5-6). 358–379. 26 indexed citations
4.
Liu, Kuan-Fu, et al.. (2016). Comparative proteomic analysis of Litopenaeus vannamei gills after vaccination with two WSSV structural proteins. Fish & Shellfish Immunology. 49. 306–314. 19 indexed citations
7.
Chang, Chin-I, et al.. (2012). Viral resistance and immune responses of the shrimp Litopenaeus vannamei vaccinated by two WSSV structural proteins. Immunology Letters. 148(1). 41–48. 26 indexed citations
8.
Chang, Chin-I, et al.. (2012). Simultaneous Detection of Multiple Fish Pathogens Using a Naked-Eye Readable DNA Microarray. Sensors. 12(3). 2710–2728. 22 indexed citations
9.
Liu, Kuan-Fu, et al.. (2009). Selection of probiotic bacteria for use in shrimp larviculture. Aquaculture Research. 40(5). 609–618. 52 indexed citations
11.
Chang, Chin-I, Olga Pleguezuelos, Yong‐An Zhang, Jun Zou, & Christopher J. Secombes. (2005). Identification of a Novel Cathelicidin Gene in the Rainbow Trout,Oncorhynchus mykiss. Infection and Immunity. 73(8). 5053–5064. 116 indexed citations
12.
Chang, Chin-I, Yong‐An Zhang, Jun Zou, Pin Nie, & Christopher J. Secombes. (2005). Two Cathelicidin Genes Are Present in both Rainbow Trout ( Oncorhynchus mykiss ) and Atlantic Salmon ( Salmo salar ). Antimicrobial Agents and Chemotherapy. 50(1). 185–195. 146 indexed citations
13.
Zhang, Yong‐An, Jun Zou, Chin-I Chang, & Christopher J. Secombes. (2004). Discovery and characterization of two types of liver-expressed antimicrobial peptide 2 (LEAP-2) genes in rainbow trout. Veterinary Immunology and Immunopathology. 101(3-4). 259–269. 94 indexed citations
14.
Lo, Chu‐Fang, et al.. (1998). Detection of white spot baculovirus (WSBV) in giant freshwater prawn, Macrobrachium rosenbergii, using polymerase chain reaction. Aquaculture. 164(1-4). 253–262. 89 indexed citations

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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