Jonathan M. Tan

34 papers receiving 442 citations

Jonathan M. Tan's Hit Papers

Co-Intelligence: Living and Working with AI 2025 · 37 citations
370Years since publication102030

Peers

Jonathan M. Tan
Comparison fields: 5 of 89
  • Anesthesiology and Pain Medicine 40
  • Health Informatics 8
  • Obstetrics and Gynecology 39
  • Critical Care and Intensive Care Medicine 23
  • Health Information Management 16
Replace Karl A. Poterack with:
Karl A. Poterack United States
D. J. N. Wong United Kingdom
Petr Štourač Czechia
Pedro Tanaka United States
Flávia Augusta de Orange Brazil
Stuart Lane Australia
William R. Hand United States
Joseph A. Sclafani United States
Debnath Chatterjee United States
Jonathan M. Tan relative to Karl A. Poterack United States Karl A. Poterack's profile →
Citations per field
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Karl A. Poterack · 1×
Citations per year

Countries citing papers authored by Jonathan M. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Tan. 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 Jonathan M. Tan. The network helps show where Jonathan M. Tan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201060
2 202043
3 201642
4
Co-Intelligence: Living and Working with AI
Hit paper breakdown →
202537
5 201035
6 201930
7 201328
8 201421
9 201021
10 201915
11 200814
12 201712
13 201611
14 202210
15 201310
16 20198
17 20108
18 20207
19 20177
20 20186

About Jonathan M. Tan

Jonathan M. Tan is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Health Information Management, Emergency Medical Services and Anesthesiology and Pain Medicine, having authored 40 papers that have together received 455 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (4 papers), Electronic Health Records Systems (4 papers), Healthcare Technology and Patient Monitoring (4 papers), Anesthesia and Pain Management (3 papers), Patient Safety and Medication Errors (2 papers), Climate Change and Health Impacts (2 papers), Maternal and Perinatal Health Interventions (2 papers) and Congenital Heart Disease Studies (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (40 citations), Health Informatics (8 citations), Obstetrics and Gynecology (39 citations), Critical Care and Intensive Care Medicine (23 citations) and Health Information Management (16 citations). Jonathan M. Tan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alex Macario, Allan F. Simpao, Jorge A. Gálvez, Brendan Carvalho, Christopher Gallagher, Yasser Y. El‐Sayed, Maurice L. Druzin, Jack O. Wasey, HeiShun Yu and William H. Moore. Their work appears in journals such as Anesthesia & Analgesia, Anesthesiology, Pediatric Anesthesia, BMC Pregnancy and Childbirth and British Journal of Dermatology.

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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