Kin‐Hung Chow

3.4k citations
66 papers · 2.7k · h-index 32

Impact in

    • Antibiotic Resistance in Bacteria
  • Endocrinology top 0.5%
    • Enterobacteriaceae and Cronobacter Research
    • Vibrio bacteria research studies

Papers in

Kin‐Hung Chow

66 papers receiving 2.6k citations

Peers

Kin‐Hung Chow
Comparison fields: 5 of 99
  • Molecular Medicine 1.5k
  • Endocrinology 814
  • Applied Microbiology and Biotechnology 146
  • Clinical Biochemistry 335
  • Pollution 429
Replace Tieli Zhou with:
Tieli Zhou China
Nilton Lincopán Brazil
Yan Jiang China
Zeqing Wei China
Jianming Cao China
Mohammad Ahangarzadeh Rezaee Iran
Roberta Migliavacca Italy
Simona Pollini Italy
Daniel J. Wolter United States
Hideo Ito Japan
Kin‐Hung Chow relative to Tieli Zhou China Tieli Zhou's profile →
Citations per field
00.5×3.2×
Tieli Zhou · 1×
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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002354
2 1999197
3 2001124
4 2012112
5 201190
6 201375
7 201272
8 200667
9 200964
10 201062
11 200761
12 200561
13 201061
14 201561
15 201859
16 201651
17 201846
18 200944
19 201243
20 200942

About Kin‐Hung Chow

Kin‐Hung Chow is a scholar working on Molecular Medicine, Epidemiology, Endocrinology, Infectious Diseases and Molecular Biology, having authored 66 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (34 papers), Bacterial biofilms and quorum sensing (17 papers), Bacterial Identification and Susceptibility Testing (15 papers), Antimicrobial Resistance in Staphylococcus (15 papers), Enterobacteriaceae and Cronobacter Research (9 papers), Pneumonia and Respiratory Infections (9 papers), Urinary Tract Infections Management (8 papers) and Escherichia coli research studies (7 papers). The work is most often cited by research in Molecular Medicine (1.5k citations), Endocrinology (814 citations), Applied Microbiology and Biotechnology (146 citations), Clinical Biochemistry (335 citations) and Pollution (429 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, Bengang Xing, Bing Xu, Wai-U Lo, Kwok‐Yung Yuen, Chun‐Wing Yu, 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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