Te‐Hsien Lin

51 papers receiving 1.2k citations

Peers

Te‐Hsien Lin
Comparison fields: 5 of 123
  • Health, Toxicology and Mutagenesis 269
  • Nutrition and Dietetics 279
  • Analytical Chemistry 118
  • Biochemistry 62
  • Cellular and Molecular Neuroscience 186
Replace Seyed Soheil Saeedi Saravi with:
Seyed Soheil Saeedi Saravi Iran
Martha S. Sandy United States
Aindrila Chattopadhyay India
Neife Aparecida Guinaim dos Santos Brazil
Lun‐Yi Zang United States
Plinio Richelmi Italy
Antonio Monroy‐Noyola Mexico
Wenhong Luo China
Liliana Rivera-Espinosa Mexico
Shao‐Hua Fan China
Te‐Hsien Lin relative to Seyed Soheil Saeedi Saravi Iran Seyed Soheil Saeedi Saravi's profile →
Citations per field
00.5×2.8×
Seyed Soheil Saeedi Saravi · 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999229
2 199890
3 199962
4 199359
5 199649
6 200044
7 200040
8 201339
9 201437
10 201831
11 201429
12 202127
13 200024
14 201623
15 200122
16 201822
17 201921
18 201621
19 201621
20 202221

About Te‐Hsien Lin

Te‐Hsien Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Nutrition and Dietetics, having authored 52 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), Alzheimer's disease research and treatments (9 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Heavy Metal Exposure and Toxicity (8 papers), Trace Elements in Health (8 papers), Pharmacological Effects of Natural Compounds (6 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (269 citations), Nutrition and Dietetics (279 citations), Analytical Chemistry (118 citations), Biochemistry (62 citations) and Cellular and Molecular Neuroscience (186 citations). Te‐Hsien Lin has collaborated with scholars based in Taiwan, United Kingdom and Japan. Frequent co-authors include Yeou‐Lih Huang, Jenn-Yuan Sheu, Chang-Yu Chen, Guey‐Jen Lee‐Chen, Kuo‐Hsuan Chang, Chiung‐Mei Chen, 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, Oxidative Medicine and Cellular Longevity, Aging and The American Journal of Chinese Medicine.

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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