Tom Chan

1.1k citations
50 papers · 925 · h-index 18

Impact in

Papers in

Tom Chan

50 papers receiving 862 citations

Peers

Tom Chan
Comparison fields: 5 of 88
  • Health Information Management 265
  • Nephrology 170
  • General Health Professions 152
  • Orthopedics and Sports Medicine 41
  • Family Practice 11
Replace Giacomo Vespasiani with:
Giacomo Vespasiani Italy
Rebecca Whittle United Kingdom
Stefanie Bühn Germany
Nathan Mendes Souza Brazil
Neil M. Paige United States
The Lancet Diabetes Endocrinology
Robert M. Kolodner United States
Colman Siu Cheung Fung Hong Kong
Sonia M. Thomas Canada
Aman Bhandari United States
Tom Chan relative to Giacomo Vespasiani Italy Giacomo Vespasiani's profile →
Citations per field
00.5×2×3.4×
Giacomo Vespasiani · 1×
Citations per year

Countries citing papers authored by Tom Chan

Since Specialization
Citations

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

Fields of papers citing papers by Tom Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005118
2 201365
3 200447
4 200847
5 201642
6 200940
7
Ensuring the Quality of Aggregated General Practice Data: Lessons from the Primary Care Data Quality Programme (PCDQ).
200537
8 200429
9 201129
10
A knowledge-management model for clinical practice.
200325
11 200325
12 201125
13 201624
14 200623
15 201122
16 201621
17 200820
18 200519
19 201118
20 200817

About Tom Chan

Tom Chan is a scholar working on Health Information Management, General Health Professions, Public Health, Environmental and Occupational Health, Nephrology and Social Psychology, having authored 50 papers that have together received 925 indexed citations. Recurring topics across this work include Electronic Health Records Systems (14 papers), Medical Coding and Health Information (8 papers), Mental Health Treatment and Access (6 papers), Primary Care and Health Outcomes (6 papers), Chronic Kidney Disease and Diabetes (4 papers), Clinical practice guidelines implementation (4 papers), Blood Pressure and Hypertension Studies (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Health Information Management (265 citations), Nephrology (170 citations), General Health Professions (152 citations), Orthopedics and Sports Medicine (41 citations) and Family Practice (11 citations). Tom Chan has collaborated with scholars based in United Kingdom, Australia and Canada. Frequent co-authors include Simon de Lusignan, Jeremy N van Vlymen, Nigel Hague, Donal J. O'Donoghue, Paul E. Stevens, Simon Jones, Sean R Hilton, Mel D. Walker, Kevin Harris and Kim Dent‐Brown. Their work appears in journals such as Journal of Innovation in Health Informatics, Public Health, BMC Family Practice, BMC Medical Informatics and Decision Making and Current Medical Research and Opinion.

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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