Kin‐Chow Chang

78 papers and 3.2k indexed citations i.

About

Kin‐Chow Chang is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Kin‐Chow Chang has authored 78 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 31 papers in Epidemiology and 16 papers in Immunology. Recurrent topics in Kin‐Chow Chang’s work include Influenza Virus Research Studies (30 papers), Muscle Physiology and Disorders (26 papers) and Animal Disease Management and Epidemiology (14 papers). Kin‐Chow Chang is often cited by papers focused on Influenza Virus Research Studies (30 papers), Muscle Physiology and Disorders (26 papers) and Animal Disease Management and Epidemiology (14 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, Kenneth Fernandes, Rahul K. Nelli, Graham Plastow, O. I. Southwood, R.I. Richardson, Belinda Baquero-Pérez and Stephen Dunham and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

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

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.

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).

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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2025