Tat‐Chong Chow

578 citations
9 papers · 415 · h-index 5

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Antifungal resistance and susceptibility
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

Tat‐Chong Chow

9 papers receiving 401 citations

Peers

Tat‐Chong Chow
Comparison fields: 5 of 61
  • Infectious Diseases 306
  • Neurology 120
  • Epidemiology 123
  • Modeling and Simulation 11
  • Animal Science and Zoology 24
Replace Hung Yao with:
Hung Yao China
Parshottam Koradia India
Yufei Mo Hong Kong
Evangelia Koukaki Greece
Yan‐Mei Jiao China
Xiaomao Xu China
Han-Sol Park United States
Sreya Ghosh United States
Eleonora Tartaglia Italy
J.-M. Naccache France
Tat‐Chong Chow relative to Hung Yao China Hung Yao's profile →
Citations per field
00.5×1.5×
Hung Yao · 1×
Citations per year

Countries citing papers authored by Tat‐Chong Chow

Since Specialization
Citations

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

Fields of papers citing papers by Tat‐Chong Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Tat‐Chong 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 Tat‐Chong Chow Line = papers co-authored together Tat‐Chong Chow links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2004311
2 199052
3 198717
4 199712
5 20039
6 20024
7 19894
8 20064
9
Identification of HPV-16 in Borderline Mucinous Cystic Neoplasm of Pancreas.
20072

About Tat‐Chong Chow

Tat‐Chong Chow is a scholar working on Epidemiology, Neurology, Surgery, Rheumatology and Infectious Diseases, having authored 9 papers that have together received 415 indexed citations. Recurring topics across this work include Cerebrovascular and genetic disorders (2 papers), Cervical Cancer and HPV Research (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Renal Diseases and Glomerulopathies (1 paper), Urologic and reproductive health conditions (1 paper), Lysosomal Storage Disorders Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (306 citations), Neurology (120 citations), Epidemiology (123 citations), Modeling and Simulation (11 citations) and Animal Science and Zoology (24 citations). Tat‐Chong Chow has collaborated with scholars based in Hong Kong, New Zealand and China. Frequent co-authors include Tai‐Nin Chau, Kin‐Wing Choi, Ching‐Lung Lai, Lok Ting Lau, Hung Yao, Sik-To Lai, John K. C. Chan, Wilson M. S. Tsui, Nancy Yuen and Man Chun Chiu. Their work appears in journals such as Diagnostic Cytopathology, Histopathology, Acta Cytologica, Hepatology and Clinica Chimica Acta.

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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