Kin‐Hung Chow

68 papers receiving 2.8k citations

Peers

Kin‐Hung Chow
Comparison fields: 5 of 100
  • Molecular Medicine 1.5k
  • Endocrinology 693
  • Applied Microbiology and Biotechnology 108
  • Clinical Biochemistry 269
  • Pollution 389
Replace Tieli Zhou with:
Tieli Zhou China
Nilton Lincopán Brazil
Yan Jiang China
Zeqing Wei China
Mohammad Ahangarzadeh Rezaee Iran
Jianming Cao China
Elsa Masae Mamizuka Brazil
Abdelaziz Touati Algeria
Hideo Ito Japan
Daniel J. Wolter United States
Kin‐Hung Chow relative to Tieli Zhou China Tieli Zhou's profile →
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Citations per year

Countries citing papers authored by Kin‐Hung Chow

Since Specialization
Citations

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

Fields of papers citing papers by Kin‐Hung Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kin‐Hung Chow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kin‐Hung Chow Line = papers co-authored together Kin‐Hung Chow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002381
2 1999206
3 2001130
4 2012112
5 201193
6 201377
7 201274
8 201569
9 200668
10 200964
11 200763
12 201063
13 201062
14 200561
15 201860
16 201651
17 202249
18 200946
19 201846
20 200346

About Kin‐Hung Chow

Kin‐Hung Chow is a scholar working on Molecular Medicine, Epidemiology, Endocrinology, Infectious Diseases and Molecular Biology, having authored 69 papers that have together received 2.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (32 papers), Antimicrobial Resistance in Staphylococcus (15 papers), Bacterial biofilms and quorum sensing (14 papers), Bacterial Identification and Susceptibility Testing (13 papers), Urinary Tract Infections Management (7 papers), Enterobacteriaceae and Cronobacter Research (7 papers), Pneumonia and Respiratory Infections (6 papers) and Vibrio bacteria research studies (5 papers). The work is most often cited by research in Molecular Medicine (1.5k citations), Endocrinology (693 citations), Applied Microbiology and Biotechnology (108 citations), Clinical Biochemistry (269 citations) and Pollution (389 citations). Kin‐Hung Chow has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Pak‐Leung Ho, Eileen L. Lai, Tak‐Lun Que, Bing Xu, Bengang Xing, Wai-U Lo, Chun‐Wing Yu, Kwok‐Yung Yuen, Degang Fu and Pierra Y. Law. Their work appears in journals such as Journal of Medical Microbiology, Diagnostic Microbiology and Infectious Disease, Journal of Antimicrobial Chemotherapy, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

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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