Kin‐Chow Chang
- Molecular Biology top 5%
- Epidemiology top 2%
- Animal Science and Zoology top 0.5%
- Immunology top 5%
- Agronomy and Crop Science top 1%
- Co-authors
- Nuno da CostaSuresh V. KuchipudiJ.D. WoodRahul K. NelliR.I. RichardsonGraham PlastowO. I. SouthwoodKenneth Fernandes
- Topics
- Influenza Virus Research Studies (31 papers)Muscle Physiology and Disorders (26 papers)Animal Disease Management and Epidemiology (15 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Kin‐Chow Chang
79 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.4k
- Epidemiology 1.0k
- Animal Science and Zoology 860
- Immunology 701
- Agronomy and Crop Science 515
Countries citing papers authored by Kin‐Chow Chang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 10 | |
| 4 | 32 | |
| 5 | 84 | |
| 6 | 24 | |
| 7 | 4 | |
| 8 | 23 | |
| 9 | 150 | |
| 10 | 127 | |
| 11 | 15 | |
| 12 | 22 | |
| 13 | 25 | |
| 14 | 62 | |
| 15 | 349 | |
| 16 | 70 | |
| 17 | 9 | |
| 18 | 9 | |
| 19 | 180 | |
| 20 | 3 |
About Kin‐Chow Chang
Kin‐Chow Chang is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Epidemiology, having authored 81 papers that have together received 3.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (31 papers), Muscle Physiology and Disorders (26 papers) and Animal Disease Management and Epidemiology (15 papers). The work is most often cited by research in Animal Science and Zoology (860 citations), Agronomy and Crop Science (515 citations) and Immunology (701 citations). Kin‐Chow Chang has collaborated with scholars based in United Kingdom, China and United States. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.