Tze-Fun Lee

58 papers receiving 812 citations

Peers

Tze-Fun Lee
Comparison fields: 5 of 68
  • Emergency Medicine 337
  • Endocrine and Autonomic Systems 108
  • Pulmonary and Respiratory Medicine 273
  • Pediatrics, Perinatology and Child Health 114
  • Developmental Neuroscience 21
Replace Jorma Hirvonen with:
Jorma Hirvonen Finland
Sinan Gürsoy Türkiye
Jana Kopincová Slovakia
David Lehr United States
William Roth United States
Leticia Martínez‐Caro Spain
Ali Tavakkolizadeh United States
C. A. Bossone United States
Colin Burnett United States
Yoshimi Inagaki Japan
Tze-Fun Lee relative to Jorma Hirvonen Finland Jorma Hirvonen's profile →
Citations per field
00.5×11.6×
Jorma Hirvonen · 1×
Citations per year

Countries citing papers authored by Tze-Fun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Tze-Fun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tze-Fun Lee. 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 Tze-Fun Lee. The network helps show where Tze-Fun Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201384
2 201362
3 201645
4 200034
5 201733
6 201631
7 199831
8 201829
9 201927
10 197924
11 200524
12 201124
13 201023
14 200822
15 200021
16 201819
17 198118
18 201916
19 202115
20 201215

About Tze-Fun Lee

Tze-Fun Lee is a scholar working on Emergency Medicine, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems and Physiology, having authored 61 papers that have together received 840 indexed citations. Recurring topics across this work include Cardiac Arrest and Resuscitation (26 papers), Neonatal Respiratory Health Research (11 papers), Neonatal and fetal brain pathology (8 papers), Neuroscience of respiration and sleep (6 papers), Respiratory Support and Mechanisms (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Emergency Medicine (337 citations), Endocrine and Autonomic Systems (108 citations), Pulmonary and Respiratory Medicine (273 citations), Pediatrics, Perinatology and Child Health (114 citations) and Developmental Neuroscience (21 citations). Tze-Fun Lee has collaborated with scholars based in Canada, Austria and United States. Frequent co-authors include Po‐Yin Cheung, Georg M. Schmölzer, Megan O’Reilly, David L. Bigam, Lawrence Wang, Min Lü, Joseph LaBossière, Jiang-Qin Liu, Barry Cox and Anne Lee Solevåg. Their work appears in journals such as Frontiers in Pediatrics, PLoS ONE, Pediatric Research, Archives of Disease in Childhood Fetal & Neonatal and Resuscitation.

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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