Min-Tser Liao

1.9k citations
62 papers · 1.3k · h-index 20

Impact in

Papers in

Min-Tser Liao

58 papers receiving 1.3k citations

Peers

Min-Tser Liao
Comparison fields: 5 of 109
  • Nephrology 289
  • Pathology and Forensic Medicine 274
  • Geriatrics and Gerontology 30
  • Nutrition and Dietetics 111
  • Physiology 148
Replace Rildo Aparecido Volpini with:
Rildo Aparecido Volpini Brazil
Xinling Liang China
Maria Heloísa Massola Shimizu Brazil
Te‐Chao Fang Taiwan
Paul F. Williams Australia
Xulei Tang China
Kum Hyun Han South Korea
Dong Cheol Han China
Maria Aparecida Dalboni Brazil
Bashir M. Matata United Kingdom
Min-Tser Liao relative to Rildo Aparecido Volpini Brazil Rildo Aparecido Volpini's profile →
Citations per field
00.5×1.5×1.8×
Rildo Aparecido Volpini · 1×
Citations per year

Countries citing papers authored by Min-Tser Liao

Since Specialization
Citations

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

Fields of papers citing papers by Min-Tser Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Tser Liao. 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 Min-Tser Liao. The network helps show where Min-Tser Liao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012254
2 2012112
3 201689
4 201965
5 202056
6 201849
7 202147
8 201538
9 201238
10 200438
11 202037
12 201837
13 202136
14 201126
15 202125
16 202322
17 201721
18 202320
19 201420
20 202419

About Min-Tser Liao

Min-Tser Liao is a scholar working on Nephrology, Pathology and Forensic Medicine, Physiology, Pulmonary and Respiratory Medicine and Surgery, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vitamin D Research Studies (9 papers), Parathyroid Disorders and Treatments (9 papers), Adipose Tissue and Metabolism (4 papers), Dialysis and Renal Disease Management (4 papers), COVID-19 Clinical Research Studies (4 papers), Vitamin C and Antioxidants Research (4 papers), Immune Cell Function and Interaction (3 papers) and Aortic aneurysm repair treatments (3 papers). The work is most often cited by research in Nephrology (289 citations), Pathology and Forensic Medicine (274 citations), Geriatrics and Gerontology (30 citations), Nutrition and Dietetics (111 citations) and Physiology (148 citations). Min-Tser Liao has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Kuo‐Cheng Lu, Chia‐Chao Wu, Chih‐Chien Sung, Chien‐Lin Lu, Cai‐Mei Zheng, Wen-Chih Liu, Po‐Shiuan Hsieh, Yi‐Chou Hou, Chia‐Ter Chao and Pei‐Chi Chan. Their work appears in journals such as International Journal of Molecular Sciences, BMJ Open, Nutrients, EP Europace and Virulence.

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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