Kin‐Chow Chang

5.0k total citations
81 papers, 3.6k citations indexed

About

Kin‐Chow Chang is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Kin‐Chow Chang has authored 81 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 32 papers in Epidemiology and 17 papers in Immunology. Recurrent topics in Kin‐Chow Chang's work include Influenza Virus Research Studies (31 papers), Muscle Physiology and Disorders (26 papers) and Animal Disease Management and Epidemiology (15 papers). Kin‐Chow Chang is often cited by papers focused on Influenza Virus Research Studies (31 papers), Muscle Physiology and Disorders (26 papers) and Animal Disease Management and Epidemiology (15 papers). Kin‐Chow Chang collaborates with scholars based in United Kingdom, China and United States. Kin‐Chow Chang's co-authors include Nuno da Costa, Suresh V. Kuchipudi, J.D. Wood, Rahul K. Nelli, R.I. Richardson, Graham Plastow, O. I. Southwood, Kenneth Fernandes, Jinhua Liu and Stephen Dunham and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kin‐Chow Chang

79 papers receiving 3.4k citations

Peers

Kin‐Chow Chang
Kyoko Tsukiyama–Kohara Japan
Paul M. Coussens United States
Martin J.H. Nicklin United Kingdom
Earl G. Brown Canada
Jianzhong Zhu China
Ryoji Yamaguchi Japan
Yingjie Sun China
Helen Everett United Kingdom
Thibaut Larcher France
Aharon Friedman Israel
Kyoko Tsukiyama–Kohara Japan
Kin‐Chow Chang
Citations per year, relative to Kin‐Chow Chang Kin‐Chow Chang (= 1×) peers Kyoko Tsukiyama–Kohara

Countries citing papers authored by Kin‐Chow Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kin‐Chow Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kin‐Chow 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 Kin‐Chow Chang. The network helps show where Kin‐Chow Chang may publish in the future.

Co-authorship network of co-authors of Kin‐Chow Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kin‐Chow Chang. A scholar is included among the top collaborators of Kin‐Chow 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 Kin‐Chow Chang. Kin‐Chow Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Wang, Chenxi, Yanan Zong, Chao Qin, et al.. (2022). Enhanced stability of M1 protein mediated by a phospho-resistant mutation promotes the replication of prevailing avian influenza virus in mammals. PLoS Pathogens. 18(7). e1010645–e1010645. 10 indexed citations
3.
Sun, Honglei, Haoran Sun, Jingwei Song, et al.. (2022). N-linked glycosylation enhances hemagglutinin stability in avian H5N6 influenza virus to promote adaptation in mammals. PNAS Nexus. 1(3). pgac085–pgac085. 10 indexed citations
4.
Sun, Honglei, Fangtao Li, Qingzhi Liu, et al.. (2021). Mink is a highly susceptible host species to circulating human and avian influenza viruses. Emerging Microbes & Infections. 10(1). 472–480. 32 indexed citations
5.
Jiang, Zhimin, Fanhua Wei, Yuying Zhang, et al.. (2021). IFI16 directly senses viral RNA and enhances RIG-I transcription and activation to restrict influenza virus infection. Nature Microbiology. 6(7). 932–945. 84 indexed citations
6.
Yang, Jiayun, Zhimin Jiang, Hongyu Zhang, et al.. (2020). Thapsigargin at Non-Cytotoxic Levels Induces a Potent Host Antiviral Response that Blocks Influenza A Virus Replication. Viruses. 12(10). 1093–1093. 24 indexed citations
7.
Kuchipudi, Suresh V., Stephen Dunham, & Kin‐Chow Chang. (2015). DNA microarray global gene expression analysis of influenza virus-infected chicken and duck cells. Genomics Data. 4. 60–64. 4 indexed citations
8.
9.
Wei, Wei, et al.. (2013). miR-29 targets Akt3 to reduce proliferation and facilitate differentiation of myoblasts in skeletal muscle development. Cell Death and Disease. 4(6). e668–e668. 150 indexed citations
10.
Kuchipudi, Suresh V., Rahul K. Nelli, G.A. White, et al.. (2012). 18S rRNAis a reliable normalisation gene for real time PCR based on influenza virus infected cells. Virology Journal. 9(1). 230–230. 127 indexed citations
11.
Hanke, Nina, Renate Scheibe, Georgi Manukjan, et al.. (2011). Gene regulation mediating fiber-type transformation in skeletal muscle cells is partly glucose- and ChREBP-dependent. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1813(3). 377–389. 15 indexed citations
12.
Meißner, J., Kin‐Chow Chang, Hans‐Peter Kubis, et al.. (2007). The p38α/β Mitogen-activated Protein Kinases Mediate Recruitment of CREB-binding Protein to Preserve Fast Myosin Heavy Chain IId/x Gene Activity in Myotubes. Journal of Biological Chemistry. 282(10). 7265–7275. 22 indexed citations
13.
Costa, Nuno da, Julia M. Edgar, Peck Toung Ooi, et al.. (2007). Calcineurin differentially regulates fast myosin heavy chain genes in oxidative muscle fibre type conversion. Cell and Tissue Research. 329(3). 515–527. 25 indexed citations
14.
Meißner, J., Patrick K. Umeda, Kin‐Chow Chang, Gerolf Gros, & Renate Scheibe. (2006). Activation of the β myosin heavy chain promoter by MEF‐2D, MyoD, p300, and the calcineurin/NFATc1 pathway. Journal of Cellular Physiology. 211(1). 138–148. 62 indexed citations
15.
Wood, J.D., G.R. Nute, R.I. Richardson, et al.. (2004). Effects of breed, diet and muscle on fat deposition and eating quality in pigs. Meat Science. 67(4). 651–667. 349 indexed citations
16.
Costa, Nuno da, et al.. (2004). Restriction of Dietary Energy and Protein Induces Molecular Changes in Young Porcine Skeletal Muscles. Journal of Nutrition. 134(9). 2191–2199. 70 indexed citations
17.
Sun, Yuh-Man, Nuno da Costa, & Kin‐Chow Chang. (2003). Cluster characterisation and temporal expression of porcine sarcomeric myosin heavy chain genes. Journal of Muscle Research and Cell Motility. 24(8). 561–570. 9 indexed citations
18.
Chang, Kin‐Chow, et al.. (2003). Identification of Microsatellites in Expressed Muscle Genes: Assessment of a Desmin (CT) Dinucleotide Repeat as a Marker for Meat Quality. The Veterinary Journal. 165(2). 157–163. 9 indexed citations
19.
Chang, Kin‐Chow, Nuno da Costa, O. I. Southwood, et al.. (2002). Relationships of myosin heavy chain fibre types to meat quality traits in traditional and modern pigs. Meat Science. 64(1). 93–103. 180 indexed citations
20.
Chang, Kin‐Chow, Ekkehard Hansen, Thomas Jaenicke, Geoffrey Goldspink, & Peter H.W. Butterworth. (1992). Transformation of a novel direct-repeat repressor element into a promoter and enhancer by multimerisation. Nucleic Acids Research. 20(7). 1669–1674. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kyoko Tsukiyama–Kohara Breakdown of academic impact, for papers by Paul M. Coussens Breakdown of academic impact, for papers by Martin J.H. Nicklin Breakdown of academic impact, for papers by Earl G. Brown Breakdown of academic impact, for papers by Jianzhong Zhu Breakdown of academic impact, for papers by Ryoji Yamaguchi Breakdown of academic impact, for papers by Yingjie Sun Breakdown of academic impact, for papers by Helen Everett Breakdown of academic impact, for papers by Thibaut Larcher Breakdown of academic impact, for papers by Aharon Friedman
Rankless by CCL
2026