N. Lan

766 citations
74 papers · 438 indexed · h-index 11

Impact in

Papers in

N. Lan

60 papers receiving 433 citations

Peers

N. Lan
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 217
  • Sensory Systems 43
  • Endocrinology, Diabetes and Metabolism 144
  • Health Informatics 11
  • Speech and Hearing 31
Replace Florence Leclercq with:
Florence Leclercq France
Aruni Seneviratna Singapore
Zain Ul Abideen Asad United States
Sharon Wilmoth United States
Roland W. McCallum United Kingdom
Elena Tortorici Italy
Sameer Kurmani United Kingdom
C Picone Italy
Gyulli M. Kazakbaeva Germany
Tahmeed Contractor United States
N. Lan relative to Florence Leclercq France Florence Leclercq's profile →
Citations per field
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Florence Leclercq · 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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201770
2 201961
3 202233
4 202024
5 201919
6 201915
7 202313
8 202312
9 201812
10 201912
11 201912
12 20239
13 20188
14 20187
15 20247
16 20207
17 20227
18 20236
19 20226
20 20215

About N. Lan

N. Lan is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Health Informatics, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 74 papers that have together received 438 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (16 papers), Lipoproteins and Cardiovascular Health (16 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Acute Myocardial Infarction Research (11 papers), Cardiac Imaging and Diagnostics (10 papers), Cardiovascular Function and Risk Factors (9 papers), Diabetes Management and Research (8 papers) and Heart Failure Treatment and Management (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (217 citations), Sensory Systems (43 citations), Endocrinology, Diabetes and Metabolism (144 citations), Health Informatics (11 citations) and Speech and Hearing (31 citations). N. Lan has collaborated with scholars based in Australia, United Kingdom 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, Matthew Knuiman, Michael Hunter and Mark Divitini. Their work appears in journals such as Current Opinion in Endocrinology Diabetes and Obesity, Journal of Diabetes and its Complications, Emergency Medicine Australasia, 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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