Gregory S. H. Chan

964 citations
42 papers · 747 · h-index 17

Impact in

Papers in

Gregory S. H. Chan

40 papers receiving 732 citations

Peers

Gregory S. H. Chan
Comparison fields: 5 of 84
  • Cardiology and Cardiovascular Medicine 389
  • Biomedical Engineering 353
  • Surgery 269
  • Neurology 91
  • Nephrology 37
Replace Svein Aslak Landsverk with:
Svein Aslak Landsverk Norway
Suresh Neelagaru United States
James P. Slater United States
Sung‐Hoon Kim South Korea
Filippo Mastropasqua Italy
Freddy Abi‐Samra United States
David C Smith United Kingdom
Skevos Sideris Greece
Virginie Le Rolle France
Gulmira Kudaiberdieva Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Gregory S. H. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Gregory S. H. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201163
2 200749
3 201448
4 200839
5 200739
6 201137
7 201036
8 201133
9 201031
10 201030
11 201329
12 201326
13 201126
14 201120
15 201119
16 201116
17 200916
18 200915
19 201115
20 201214

About Gregory S. H. Chan

Gregory S. H. Chan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Biomedical Engineering, Nephrology and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 747 indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (26 papers), Non-Invasive Vital Sign Monitoring (25 papers), Heart Rate Variability and Autonomic Control (24 papers), Renal function and acid-base balance (7 papers), Optical Imaging and Spectroscopy Techniques (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Dialysis and Renal Disease Management (4 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (389 citations), Biomedical Engineering (353 citations), Surgery (269 citations), Neurology (91 citations) and Nephrology (37 citations). Gregory S. H. Chan has collaborated with scholars based in Australia, New Zealand and Canada. Frequent co-authors include Nigel H. Lovell, Paul M Middleton, Branko G. Celler, Philip N. Ainslie, Yu‐Chieh Tzeng, Andrey V. Savkin, Elizabeth Steel, James Mackie, Philip Malouf and Emma O’Lone. Their work appears in journals such as Physiological Measurement, Journal of Applied Physiology, Journal of Clinical Monitoring and Computing, PLoS ONE and IEEE Transactions on Biomedical Engineering.

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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