Kenneth Chan

1.8k citations
75 papers · 1.1k · h-index 19

Impact in

Papers in

Kenneth Chan

71 papers receiving 1.1k citations

Peers

Kenneth Chan
Comparison fields: 5 of 89
  • Obstetrics and Gynecology 156
  • Cardiology and Cardiovascular Medicine 310
  • Pediatrics, Perinatology and Child Health 175
  • Cancer Research 97
  • Surgery 208
Replace Ewa Żekanowska with:
Ewa Żekanowska Poland
Dagmar Bancher‐Todesca Austria
Joanne Said Australia
Shannon S. Wu United States
Zdena Pavlova United States
Gemma Carreras‐Badosa Spain
K. T. M. Schneider Germany
Karin Söderberg Sweden
Mihaela Iancu Romania
Haruta Mogami Japan
Kenneth Chan relative to Ewa Żekanowska Poland Ewa Żekanowska's profile →
Citations per field
00.5×6.3×
Ewa Żekanowska · 1×
Citations per year

Countries citing papers authored by Kenneth Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012133
2 2018102
3 201194
4 201382
5 201077
6 200972
7 201651
8 201237
9 199437
10 199431
11 202130
12 201428
13 201226
14 199524
15 200919
16 201019
17 201719
18 199218
19 200218
20 201717

About Kenneth Chan

Kenneth Chan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Maternal and Perinatal Health Interventions (10 papers), Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Disease and Adiposity (5 papers), Cardiovascular Function and Risk Factors (5 papers), Maternal and fetal healthcare (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Cardiovascular Issues in Pregnancy (4 papers) and Biomarkers in Disease Mechanisms (3 papers). The work is most often cited by research in Obstetrics and Gynecology (156 citations), Cardiology and Cardiovascular Medicine (310 citations), Pediatrics, Perinatology and Child Health (175 citations), Cancer Research (97 citations) and Surgery (208 citations). Kenneth Chan has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Deborah A. Wing, Leo Pevzner, Xiangyuan Pu, Robin N. Poston, Shu Ye, Mark J. Caulfield, Uri Elkayam, Candace J. Krepel, Mark Ghamsary and Afshan B. Hameed. Their work appears in journals such as American Journal of Obstetrics and Gynecology, European Heart Journal, Obstetrics and Gynecology, Atherosclerosis and Nuclear Medicine Communications.

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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