Simon Poon

116 papers receiving 1.7k citations

Peers

Simon Poon
Comparison fields: 5 of 171
  • Health Informatics 30
  • Communication 124
  • Complementary and alternative medicine 135
  • Microbiology 104
  • Strategy and Management 245
Replace Xiao Xiao with:
Xiao Xiao China
Shiwei Sun China
Joseph A. DiMasi United States
Suresh Babu Naidu Krishna South Africa
Bernard Munos United States
Li Luo China
Sathish Kumar United States
Guozheng Li China
Wing Lam United States
Ronald W. Hansen United States
Simon Poon relative to Xiao Xiao China Xiao Xiao's profile →
Citations per field
00.5×11.6×
Xiao Xiao · 1×
Citations per year

Countries citing papers authored by Simon Poon

Since Specialization
Citations

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

Fields of papers citing papers by Simon Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Poon. 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 Simon Poon. The network helps show where Simon Poon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006292
2 2012118
3 2018102
4 201399
5 201483
6 202354
7 201753
8 201451
9 201247
10 201945
11 201244
12 200040
13 201634
14 200032
15 202131
16 202028
17 201127
18 201827
19 201927
20 201926

About Simon Poon

Simon Poon is a scholar working on Molecular Biology, Health Information Management, Complementary and alternative medicine, Strategy and Management and Artificial Intelligence, having authored 119 papers that have together received 1.8k indexed citations. Recurring topics across this work include Electronic Health Records Systems (11 papers), Traditional Chinese Medicine Studies (8 papers), Glycosylation and Glycoproteins Research (6 papers), Biochemical and Structural Characterization (6 papers), Biomedical Text Mining and Ontologies (6 papers), Traditional Chinese Medicine Analysis (5 papers), Advanced Text Analysis Techniques (5 papers) and Innovation and Knowledge Management (5 papers). The work is most often cited by research in Health Informatics (30 citations), Communication (124 citations), Complementary and alternative medicine (135 citations), Microbiology (104 citations) and Strategy and Management (245 citations). Simon Poon has collaborated with scholars based in Australia, Hong Kong and China. Frequent co-authors include James W. Davis, B.C. Choi, Raymond Young, Josiah Poon, Adrienne E. Clarke, Marilyn A. Anderson, Robyn L. Heath, David J. Craik, Carolyn J. Schultz and Karen S. Harris. Their work appears in journals such as Journal of the Association for Information Systems, International Journal of Medical Informatics, International Journal of Environmental Research and Public Health, Artificial Intelligence in Medicine and Medicine.

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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