N. Lan

67 papers receiving 473 citations

Peers

N. Lan
Comparison fields: 5 of 65
  • Health Informatics 11
  • Cardiology and Cardiovascular Medicine 162
  • Sensory Systems 36
  • Endocrinology, Diabetes and Metabolism 115
  • Speech and Hearing 21
Replace Tom Chau with:
Tom Chau Taiwan
Sonal Bhatia United States
Sameer Kurmani United Kingdom
Roland W. McCallum United States
Tahmeed Contractor United States
Zain Ul Abideen Asad United States
Hisaki Makimoto Germany
Sahng Lee South Korea
Alexander P. Benz Canada
N. Lan relative to Tom Chau Taiwan Tom Chau's profile →
Citations per field
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Tom Chau · 1×
Citations per year

Countries citing papers authored by N. Lan

Since Specialization
Citations

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

Fields of papers citing papers by N. Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside N. Lan, 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 N. Lan Line = papers co-authored together N. Lan 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 201773
2 201961
3 202235
4 202025
5 201920
6 202315
7 201915
8 202315
9 201913
10 201912
11 201812
12 202311
13 202410
14 20239
15 20188
16 20228
17 20207
18 20187
19 20226
20 20195

About N. Lan

N. Lan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 75 papers that have together received 479 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (13 papers), Diabetes Treatment and Management (9 papers), Cardiac Imaging and Diagnostics (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Diabetes Management and Research (7 papers), Coronary Interventions and Diagnostics (6 papers), Cardiac Valve Diseases and Treatments (6 papers) and Acute Myocardial Infarction Research (6 papers). The work is most often cited by research in Health Informatics (11 citations), Cardiology and Cardiovascular Medicine (162 citations), Sensory Systems (36 citations), Endocrinology, Diabetes and Metabolism (115 citations) and Speech and Hearing (21 citations). N. Lan has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include P. Gerry Fegan, Girish Dwivedi, Bu B. Yeap, Damon A. Bell, Gerald F. Watts, James M. Rankin, Abdul Rahman Ihdayhid, Hsern Ern I. Tan, Christopher G. Brennan‐Jones and De Wet Swanepoel. Their work appears in journals such as Current Opinion in Endocrinology Diabetes and Obesity, Emergency Medicine Australasia, Journal of Diabetes and its Complications, American Journal of Physiology-Heart and Circulatory Physiology and Heart Lung and Circulation.

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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