Yu-Ting Lin

3.8k citations
117 papers · 2.7k indexed · h-index 27

Impact in

Papers in

Yu-Ting Lin

107 papers receiving 2.7k citations

Peers

Yu-Ting Lin
Comparison fields: 5 of 154
  • Health, Toxicology and Mutagenesis 809
  • Speech and Hearing 251
  • Process Chemistry and Technology 76
  • Pollution 258
  • Environmental Engineering 172
Replace James G. Wagner with:
James G. Wagner United States
Tomoko Takigawa Japan
Seiichi Yoshida Japan
An‐Soo Jang South Korea
JeanClare Seagrave United States
Naoki Kunugita Japan
Kaye H. Kilburn United States
Daniel J. Conklin United States
Eiji Shibata Japan
Chi‐Kung Ho Taiwan
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Citations per field
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James G. Wagner · 1×
Citations per year

Countries citing papers authored by Yu-Ting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Ting 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 Yu-Ting Lin. The network helps show where Yu-Ting Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015305
2 2013125
3 2021114
4 2013104
5 2012100
6 201996
7 202393
8 201592
9 200783
10 202177
11 202374
12
Bax accelerates tumorigenesis in p53-deficient mice.
200167
13 200662
14 201252
15 201942
16 201640
17 201639
18 201538
19 201337
20 201034

About Yu-Ting Lin

Yu-Ting Lin is a scholar working on Health, Toxicology and Mutagenesis, Research and Theory, Cancer Research, Internal Medicine and Pollution, having authored 117 papers that have together received 2.7k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (15 papers), Climate Change and Health Impacts (8 papers), Cell death mechanisms and regulation (8 papers), Heme Oxygenase-1 and Carbon Monoxide (7 papers), Cancer-related molecular mechanisms research (7 papers), Bacterial biofilms and quorum sensing (6 papers), RNA Research and Splicing (5 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (809 citations), Speech and Hearing (251 citations), Process Chemistry and Technology (76 citations), Pollution (258 citations) and Environmental Engineering (172 citations). Yu-Ting Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Bing‐Fang Hwang, Chau‐Ren Jung, Wenbiao Shen, Jialing Xiang, Weiti Cui, Chin‐Chi Kuo, Yungling Leo Lee, John M. Kokontis, Can Wang and Xurui Hu. Their work appears in journals such as Environmental Research, Journal of Biological Chemistry, The Science of The Total Environment, PLoS ONE and Cell Research.

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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