Ming‐Tsan Lin

269 papers receiving 7.5k citations

Peers

Ming‐Tsan Lin
Comparison fields: 5 of 158
  • Cancer Research 783
  • Critical Care and Intensive Care Medicine 227
  • Immunology 1.0k
  • Geriatrics and Gerontology 132
  • Gastroenterology 190
Replace Richard Moreau with:
Richard Moreau France
Tomohisa Takagi Japan
Massimo Pinzani Italy
Alexander Koch Germany
Jieshou Li China
Cornelis H.C. Dejong Netherlands
Alex B. Lentsch United States
Eun Young Kim South Korea
Esteban C. Gabazza Japan
Walter H. Hörl Austria
Ming‐Tsan Lin relative to Richard Moreau France Richard Moreau's profile →
Citations per field
00.5×1.5×2.4×
Richard Moreau · 1×
Citations per year

Countries citing papers authored by Ming‐Tsan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Tsan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 277 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003178
2 2004173
3 2003171
4 2010167
5 2001163
6 2004158
7 2017155
8 2007135
9 2011126
10 2006126
11 2001124
12 2003124
13 1997124
14 2000123
15 2011112
16 2017103
17 2008101
18 2022101
19 200097
20 200196

About Ming‐Tsan Lin

Ming‐Tsan Lin is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Nutrition and Dietetics and Immunology, having authored 277 papers that have together received 7.7k indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (35 papers), Gastrointestinal Tumor Research and Treatment (11 papers), Nutrition and Health in Aging (10 papers), Gastric Cancer Management and Outcomes (9 papers), Bariatric Surgery and Outcomes (9 papers), Angiogenesis and VEGF in Cancer (8 papers), Immune Response and Inflammation (8 papers) and Electrolyte and hormonal disorders (8 papers). The work is most often cited by research in Cancer Research (783 citations), Critical Care and Intensive Care Medicine (227 citations), Immunology (1.0k citations), Geriatrics and Gerontology (132 citations) and Gastroenterology (190 citations). Ming‐Tsan Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Min‐Liang Kuo, Ming‐Shiang Wu, Chia‐Tung Shun, Jaw‐Town Lin, Kuo Yuan, Sung‐Ling Yeh, Ming‐Hsun Wu, King‐Jen Chang, Po‐Huang Lee and David J. Oliver. Their work appears in journals such as Nutrition, Journal of Parenteral and Enteral Nutrition, Journal of Laparoendoscopic & Advanced Surgical Techniques, Journal of Biological Chemistry and Clinical Nutrition.

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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