Eugene Y. K. Tso

4.8k citations
8 papers · 1.1k indexed · 1 hit paper · h-index 7

Eugene Y. K. Tso

8 papers receiving 1.1k citations

Hit Papers

Depicting SARS-CoV-2 faecal viral activity in association...3422020202620222024100200300

Peers

Eugene Y. K. Tso
Comparison fields: 5 of 98
  • Infectious Diseases 799
  • Biological Psychiatry 66
  • Neurology 248
  • Modeling and Simulation 56
  • Critical Care and Intensive Care Medicine 56
Replace Brian Hanley with:
Brian Hanley United Kingdom
Antonio Muscatello Italy
Bohan Yang China
Jane A. O’Halloran United States
Xiao-Shuang Zheng China
Sameera Al Johani Saudi Arabia
Claudia Pinacchio Italy
Susanna Felsenstein United States
Yael R. Nobel United States
Eugene Y. K. Tso relative to Brian Hanley United Kingdom Brian Hanley's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eugene Y. K. Tso

Since Specialization
Citations

This map shows the geographic impact of Eugene Y. K. Tso'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 Eugene Y. K. Tso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Y. K. Tso more than expected).

Fields of papers citing papers by Eugene Y. K. Tso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene Y. K. Tso. 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 Eugene Y. K. Tso. The network helps show where Eugene Y. K. Tso may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Eugene Y. K. Tso, 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 Eugene Y. K. Tso Line = papers co-authored together Eugene Y. K. Tso links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20221
2 202215
3
Depicting SARS-CoV-2 faecal viral activity in association with gut microbiota composition in patients with COVID-19breakdown →
2020342
4 2020146
5 202030
6 2020242
7 200427
8 2003290

About Eugene Y. K. Tso

Eugene Y. K. Tso is a scholar working on Modeling and Simulation, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (3 papers), COVID-19 epidemiological studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Gut microbiota and health (2 papers), COVID-19 diagnosis using AI (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and COVID-19 and Mental Health (1 paper). The work is most often cited by research in Infectious Diseases (799 citations), Biological Psychiatry (66 citations) and Neurology (248 citations). Eugene Y. K. Tso has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Paul K.S. Chan, Grace Lui, Qin Liu, Fen Zhang, Siew C. Ng, Francis K.L. Chan, Tao Zuo, Siaw Shi Boon, Zigui Chen and O. T. Y. Tsang. Their work appears in journals such as The Journal of Infectious Diseases, Annals of Internal Medicine, The Journal of Nervous and Mental Disease, Emerging infectious diseases and Gastroenterology.

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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