Te‐Hsien Lin

51 papers receiving 1.2k citations

Peers

Te‐Hsien Lin
Comparison fields: 5 of 122
  • Health, Toxicology and Mutagenesis 265
  • Nutrition and Dietetics 263
  • Analytical Chemistry 123
  • Complementary and alternative medicine 79
  • Biological Psychiatry 23
Replace Neife Aparecida Guinaim dos Santos with:
Neife Aparecida Guinaim dos Santos Brazil
Lun‐Yi Zang United States
Martha S. Sandy United States
Aindrila Chattopadhyay India
Antonio Monroy‐Noyola Mexico
Liliana Rivera-Espinosa Mexico
Mariana Appel Hort Brazil
Theodorus P.M. Akerboom Germany
Shao‐Hua Fan China
Michael K. Lawson Slovakia
Te‐Hsien Lin relative to Neife Aparecida Guinaim dos Santos Brazil Neife Aparecida Guinaim dos Santos's profile →
Citations per field
00.5×3.1×
Neife Aparecida Guinaim dos Santos · 1×
Citations per year

Countries citing papers authored by Te‐Hsien Lin

Since Specialization
Citations

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

Fields of papers citing papers by Te‐Hsien Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999235
2 199893
3 199962
4 199360
5 199655
6 200046
7 200043
8 201339
9 201438
10 201834
11 201431
12 202129
13 201324
14 200024
15 201823
16 202223
17 200123
18 201623
19 201622
20 201421

About Te‐Hsien Lin

Te‐Hsien Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Nutrition and Dietetics and Health, Toxicology and Mutagenesis, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (13 papers), Mitochondrial Function and Pathology (10 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Heavy Metal Exposure and Toxicity (7 papers), Alzheimer's disease research and treatments (7 papers), Trace Elements in Health (7 papers), Pharmacological Effects of Natural Compounds (5 papers) and Nuclear Receptors and Signaling (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (265 citations), Nutrition and Dietetics (263 citations), Analytical Chemistry (123 citations), Complementary and alternative medicine (79 citations) and Biological Psychiatry (23 citations). Te‐Hsien Lin has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yeou‐Lih Huang, Jenn-Yuan Sheu, Chang-Yu Chen, Guey‐Jen Lee‐Chen, Chiung‐Mei Chen, Kuo‐Hsuan Chang, Chi‐Liang Chern, Yih‐Ru Wu, Chih‐Hsin Lin and Chih‐Ying Chao. Their work appears in journals such as Biological Trace Element Research, Journal of Toxicology and Environmental Health, Aging, Oxidative Medicine and Cellular Longevity and Drug Design Development and Therapy.

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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