Hui‐Leng Tan

3.0k citations
66 papers · 2.0k indexed · h-index 21

Impact in

Papers in

Hui‐Leng Tan

64 papers receiving 2.0k citations

Peers

Hui‐Leng Tan
Comparison fields: 5 of 115
  • Endocrine and Autonomic Systems 838
  • Physiology 1.2k
  • Pulmonary and Respiratory Medicine 1.0k
  • Emergency Medical Services 93
  • Anesthesiology and Pain Medicine 59
Replace Özen K. Başoğlu with:
Özen K. Başoğlu Türkiye
Jean‐Benoît Martinot Belgium
Wah-kit Lam Hong Kong
Salvatore Cocuzza Italy
Antonino Maniaci Italy
Eusebi Chiner Spain
Michele Cassano Italy
Lorraine C. Nnacheta United States
Julian L. Allen United States
Richard S. Kronenberg United States
Hui‐Leng Tan relative to Özen K. Başoğlu Türkiye Özen K. Başoğlu's profile →
Citations per field
00.5×1.5×2.3×
Özen K. Başoğlu · 1×
Citations per year

Countries citing papers authored by Hui‐Leng Tan

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Leng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202318
3 202316
4 20230
5 20224
6 20211
7 20206
8 20205
9 20199
10 201813
11 201632
12 201576
13 20131
14 201364
15 201362
16 2013187
17 201316
18 20122
19 201157
20 2005113

About Hui‐Leng Tan

Hui‐Leng Tan is a scholar working on Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Physiology, Speech and Hearing and Genetics, having authored 66 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (28 papers), Obstructive Sleep Apnea Research (26 papers), Tracheal and airway disorders (17 papers), Neonatal Respiratory Health Research (12 papers), Cystic Fibrosis Research Advances (11 papers), Respiratory Support and Mechanisms (10 papers), Genetic Syndromes and Imprinting (4 papers) and Childhood Cancer Survivors' Quality of Life (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (838 citations), Physiology (1.2k citations), Pulmonary and Respiratory Medicine (1.0k citations), Emergency Medical Services (93 citations) and Anesthesiology and Pain Medicine (59 citations). Hui‐Leng Tan has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include David Gozal, David Gozal, Eleonora Dehlink, Mark Rosenthal, Hari Bandla, Andrew Bush, Rakesh Bhattacharjee, François Abel, Michelle Chatwin and Brigit Roberts. Their work appears in journals such as Pediatric Pulmonology, Thorax, Sleep Medicine, Archives of Disease in Childhood and European Respiratory Journal.

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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