Meng Lee

5.6k citations
148 papers · 4.3k · h-index 32

Impact in

Papers in

Meng Lee

141 papers receiving 4k citations

Peers

Meng Lee
Comparison fields: 5 of 111
  • Epidemiology 1.5k
  • Cardiology and Cardiovascular Medicine 1k
  • Nephrology 307
  • Endocrinology, Diabetes and Metabolism 365
  • Neurology 225
Replace Koji Yonemoto with:
Koji Yonemoto Japan
Nira Koren‐Morag Israel
Erik H. Serné Netherlands
Yasufumi Doi Japan
Christos G. Savopoulos Greece
Masahiko Kiyama Japan
Yuesong Pan China
J.V. Ian Nixon United States
Wan‐Leong Chan Taiwan
Gaifen Liu China
Meng Lee relative to Koji Yonemoto Japan Koji Yonemoto's profile →
Citations per field
00.5×1.5×1.9×
Koji Yonemoto · 1×
Citations per year

Countries citing papers authored by Meng Lee

Since Specialization
Citations

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

Fields of papers citing papers by Meng Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010371
2 2011208
3 2019206
4 2019201
5 2012177
6 2017164
7 2011147
8 2010124
9 2017122
10 2010117
11 2016114
12 2015101
13 201187
14 201286
15 201080
16 202279
17 201561
18 201357
19 201056
20 201956

About Meng Lee

Meng Lee is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Nephrology, Endocrinology, Diabetes and Metabolism and Rheumatology, having authored 148 papers that have together received 4.3k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (73 papers), Atrial Fibrillation Management and Outcomes (18 papers), Chronic Kidney Disease and Diabetes (9 papers), Lipoproteins and Cardiovascular Health (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Blood Pressure and Hypertension Studies (6 papers), Diabetes Treatment and Management (6 papers) and Folate and B Vitamins Research (5 papers). The work is most often cited by research in Epidemiology (1.5k citations), Cardiology and Cardiovascular Medicine (1k citations), Nephrology (307 citations), Endocrinology, Diabetes and Metabolism (365 citations) and Neurology (225 citations). Meng Lee has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Jeffrey L. Saver, Bruce I Ovbiagele, Keun‐Sik Hong, Yi‐Ling Wu, Kuo‐Hsuan Chang, Hung‐Wei Liao, Bruce Ovbiagele, Shen‐Chih Chang, Jiann-Der Lee and Wen‐Yi Huang. Their work appears in journals such as Stroke, Current Neurovascular Research, Journal of Stroke, JAMA Neurology and PLoS ONE.

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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