James J.-C. Chin

504 total citations
8 papers, 385 citations indexed

About

James J.-C. Chin is a scholar working on Endocrinology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, James J.-C. Chin has authored 8 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, 4 papers in Infectious Diseases and 3 papers in Molecular Medicine. Recurrent topics in James J.-C. Chin's work include Escherichia coli research studies (5 papers), Antibiotic Resistance in Bacteria (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). James J.-C. Chin is often cited by papers focused on Escherichia coli research studies (5 papers), Antibiotic Resistance in Bacteria (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). James J.-C. Chin collaborates with scholars based in Australia, Indonesia and United States. James J.-C. Chin's co-authors include Darren J. Trott, Toni A. Chapman, Xiyang Wu, K. A. Bettelheim, I. Barchia, Mark R. Wilson, Kirsty M. Townsend, Kaila Kailasapathy, Sameer Dixit and David M. Gordon and has published in prestigious journals such as Applied and Environmental Microbiology, Microbiology and Microbes and Infection.

In The Last Decade

James J.-C. Chin

7 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James J.-C. Chin Australia 6 239 158 121 116 56 8 385
Marie Maier United States 8 106 0.4× 142 0.9× 145 1.2× 90 0.8× 77 1.4× 8 362
M. Kmeťová Slovakia 12 230 1.0× 165 1.0× 97 0.8× 92 0.8× 100 1.8× 30 412
Tomasz Wołkowicz Poland 11 137 0.6× 136 0.9× 166 1.4× 129 1.1× 93 1.7× 39 429
María Inés Caffer Argentina 11 127 0.5× 126 0.8× 206 1.7× 66 0.6× 42 0.8× 28 357
Suresh Chandra Das India 11 340 1.4× 73 0.5× 166 1.4× 228 2.0× 57 1.0× 30 522
Andrew C. Murray United States 4 377 1.6× 259 1.6× 166 1.4× 71 0.6× 55 1.0× 5 448
Athumani Msalale Lupindu Tanzania 13 117 0.5× 153 1.0× 96 0.8× 81 0.7× 36 0.6× 31 377
Muriel Mafura United Kingdom 11 216 0.9× 278 1.8× 174 1.4× 71 0.6× 87 1.6× 12 459
Fernanda Fernandes Santos Brazil 10 241 1.0× 147 0.9× 93 0.8× 133 1.1× 85 1.5× 36 403
Karine Grenet France 7 151 0.6× 167 1.1× 76 0.6× 165 1.4× 116 2.1× 7 448

Countries citing papers authored by James J.-C. Chin

Since Specialization
Citations

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

Fields of papers citing papers by James J.-C. Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James J.-C. Chin

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

All Works

8 of 8 papers shown
1.
Sidjabat, Hanna E., James J.-C. Chin, Toni A. Chapman, et al.. (2008). Colonisation dynamics and virulence of two clonal groups of multidrug-resistant Escherichia coli isolated from dogs. Microbes and Infection. 11(1). 100–107. 13 indexed citations
2.
Chapman, Toni A., Xiyang Wu, I. Barchia, et al.. (2006). Comparison of Virulence Gene Profiles of Escherichia coli Strains Isolated from Healthy and Diarrheic Swine. Applied and Environmental Microbiology. 72(7). 4782–4795. 217 indexed citations
3.
Sidjabat, Hanna E., Kirsty M. Townsend, Kari S. Gobius, et al.. (2006). Emergence and spread of two distinct clonal groups of multidrug-resistant Escherichia coli in a veterinary teaching hospital in Australia. Journal of Medical Microbiology. 55(8). 1125–1134. 42 indexed citations
4.
Townsend, Kirsty M., et al.. (2005). Pathotypes and serogroups of enterotoxigenic Escherichia coli isolated from pre-weaning pigs in north Vietnam. Journal of Medical Microbiology. 55(1). 93–99. 24 indexed citations
5.
Dixit, Sameer, David M. Gordon, Xiyang Wu, et al.. (2004). Diversity analysis of commensal porcine Escherichia coli – associations between genotypes and habitat in the porcine gastrointestinal tract. Microbiology. 150(6). 1735–1740. 52 indexed citations
6.
Trott, Darren J., et al.. (2004). Canine model for investigating the impact of oral enrofloxacin on commensal coliforms and colonization with multidrug-resistant Escherichia coli. Journal of Medical Microbiology. 53(5). 439–443. 34 indexed citations
7.
Chin, James J.-C.. (2002). Revisiting the “hygiene hypothesis” in gastrointestinal allergy. Current Opinion in Gastroenterology. 18(6). 705–710. 2 indexed citations
8.
Chin, James J.-C.. (1973). How I Met My Wife. Chinese Studies in History. 6(4). 44–47. 1 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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