Ming‐Lung Tsai

33 papers receiving 473 citations

Peers

Ming‐Lung Tsai
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 100
  • Cardiology and Cardiovascular Medicine 99
  • Energy Engineering and Power Technology 15
  • Endocrine and Autonomic Systems 25
  • Nephrology 23
Replace Paschalis Karakasis with:
Paschalis Karakasis Greece
Jingang Cui China
Melek Eda Ertörer Türkiye
Yusuke Kimishima Japan
Aurelio Negro Italy
Yingling Zhou China
David Michalský Czechia
Mircea Cintezǎ Romania
Reiko Nakashima Japan
Toru Inami Japan
Ming‐Lung Tsai relative to Paschalis Karakasis Greece Paschalis Karakasis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming‐Lung Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Lung Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Lung Tsai. 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 Ming‐Lung Tsai. The network helps show where Ming‐Lung Tsai may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202052
2 201442
3 202036
4 201626
5 201524
6 201623
7 201520
8 202020
9 201620
10 201419
11 201516
12 201416
13 201516
14 201715
15 202515
16 202014
17 201613
18 201511
19 201610
20 20209

About Ming‐Lung Tsai

Ming‐Lung Tsai is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrine and Autonomic Systems and Rheumatology, having authored 34 papers that have together received 479 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (10 papers), Diabetes Treatment and Management (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Mechanical Circulatory Support Devices (2 papers), Dietary Effects on Health (2 papers), Circadian rhythm and melatonin (2 papers), Acute Myocardial Infarction Research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (100 citations), Cardiology and Cardiovascular Medicine (99 citations), Energy Engineering and Power Technology (15 citations), Endocrine and Autonomic Systems (25 citations) and Nephrology (23 citations). Ming‐Lung Tsai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ching‐Lin Hsieh, Ming‐Shien Wen, Chao‐Yung Wang, Chun‐Chi Chen, Jih‐Kai Yeh, Kuo‐Chun Hung, Ming-Yun Ho, Dong‐Yi Chen, Ming‐Jer Hsieh and Tien‐Hsing Chen. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, International Journal of Cardiology, Medicine and Circulation 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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