Tsu‐Kung Lin

6.3k citations
162 papers · 5.1k indexed · h-index 39

Impact in

Papers in

Tsu‐Kung Lin

159 papers receiving 5.0k citations

Peers

Tsu‐Kung Lin
Comparison fields: 5 of 160
  • Clinical Biochemistry 499
  • Biological Psychiatry 147
  • Geriatrics and Gerontology 221
  • Neurology 393
  • Neurology 579
Replace Shang‐Der Chen with:
Shang‐Der Chen Taiwan
Salvatore Salomone Italy
Alessandra Valerio Italy
Pattie S. Green United States
Li Liu China
Michael King United States
Angelo Parini France
Ting‐Ting Huang United States
Hyman M. Schipper Canada
Sang Won Suh South Korea
Tsu‐Kung Lin relative to Shang‐Der Chen Taiwan Shang‐Der Chen's profile →
Citations per field
00.5×1.6×
Shang‐Der Chen · 1×
Citations per year

Countries citing papers authored by Tsu‐Kung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tsu‐Kung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20241
4 20241
5 20247
6 20245
7 20246
8 20232
9 20231
10 20229
11 202033
12 20197
13 201622
14 201330
15 20139
16 201319
17 201224
18 200927
19 200813
20 200414

About Tsu‐Kung Lin

Tsu‐Kung Lin is a scholar working on Clinical Biochemistry, Neurology, Biological Psychiatry, Geriatrics and Gerontology and Physiology, having authored 162 papers that have together received 5.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (54 papers), Metabolism and Genetic Disorders (26 papers), Parkinson's Disease Mechanisms and Treatments (23 papers), Adipose Tissue and Metabolism (20 papers), Autophagy in Disease and Therapy (13 papers), Neuroscience and Neuropharmacology Research (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Magnetic and transport properties of perovskites and related materials (8 papers). The work is most often cited by research in Clinical Biochemistry (499 citations), Biological Psychiatry (147 citations), Geriatrics and Gerontology (221 citations), Neurology (393 citations) and Neurology (579 citations). Tsu‐Kung Lin has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Shang‐Der Chen, Yao‐Chung Chuang, Chia‐Wei Liou, Pei‐Wen Wang, Jiin‐Haur Chuang, Chia‐Wei Liou, Ding‐I Yang, Michael P. Murphy, Hung‐Yu Lin and Mao‐Meng Tiao. Their work appears in journals such as International Journal of Molecular Sciences, Cells, Mitochondrion, Antioxidants and Oxidative Medicine and Cellular Longevity.

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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