Kenneth Tan

2.6k citations
91 papers · 1.2k · h-index 22

Impact in

Papers in

Kenneth Tan

85 papers receiving 1.1k citations

Peers

Kenneth Tan
Comparison fields: 5 of 125
  • Emergency Medical Services 132
  • Pulmonary and Respiratory Medicine 425
  • Endocrinology 46
  • Medical Terminology 2
  • Pediatrics, Perinatology and Child Health 127
Replace Ming‐Chou Chiang with:
Ming‐Chou Chiang Taiwan
K. Brownlee United Kingdom
Nurullah Okumuş Türkiye
Edward T. Naureckas United States
Ludo Mahieu Belgium
James S. Barry United States
Beatriz Perondi Brazil
Bernhard Resch Austria
Willa H. Drummond United States
Hung‐Chih Lin Taiwan
Kenneth Tan relative to Ming‐Chou Chiang Taiwan Ming‐Chou Chiang's profile →
Citations per field
00.5×1.5×2.4×
Ming‐Chou Chiang · 1×
Citations per year

Countries citing papers authored by Kenneth Tan

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200265
2 201061
3 201660
4 201642
5 201541
6 201641
7 200540
8 201639
9 201733
10 200533
11 201530
12 201829
13 200829
14 201229
15 201727
16 201325
17 201624
18 201523
19 201822
20 201422

About Kenneth Tan

Kenneth Tan is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Surgery, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 91 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (20 papers), Central Venous Catheters and Hemodialysis (7 papers), Congenital Diaphragmatic Hernia Studies (6 papers), Phonocardiography and Auscultation Techniques (6 papers), Neonatal and Maternal Infections (6 papers), Congenital Heart Disease Studies (6 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Neonatal and fetal brain pathology (5 papers). The work is most often cited by research in Emergency Medical Services (132 citations), Pulmonary and Respiratory Medicine (425 citations), Endocrinology (46 citations), Medical Terminology (2 citations) and Pediatrics, Perinatology and Child Health (127 citations). Kenneth Tan has collaborated with scholars based in Australia, Malaysia and Canada. Frequent co-authors include Nai Ming Lai, Arvind Sehgal, Eldho Paul, Andra Malikiwi, Susan McDonald, Samuel Menahem, Anil K. Malhotra, Simon J. Newell, S.P. Conway and K. Brownlee. Their work appears in journals such as Cochrane Database of Systematic Reviews, European Journal of Pediatrics, Archives of Disease in Childhood Fetal & Neonatal, Pediatric Research and American Journal of Infection Control.

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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