Ting Lin

642 citations
42 papers · 417 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Biophysics top 10%
    • Spectroscopy Techniques in Biomedical and Chemical Research

Papers in

Ting Lin

40 papers receiving 409 citations

Peers

Ting Lin
Comparison fields: 5 of 89
  • Cancer Research 87
  • Biophysics 32
  • Orthopedics and Sports Medicine 34
  • Biological Psychiatry 5
  • Molecular Biology 131
Replace Yuhong Zeng with:
Yuhong Zeng China
Suharsh Shah Canada
Zhilin Chen China
Marie Garcia France
Alexandra So United States
Gaël Cobraiville Belgium
Seyed Amin Hojat United States
Junrui Hua China
Ting Lin relative to Yuhong Zeng China Yuhong Zeng's profile →
Citations per field
00.5×4.8×
Yuhong Zeng · 1×
Citations per year

Countries citing papers authored by Ting Lin

Since Specialization
Citations

This map shows the geographic impact of 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 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 Ting Lin more than expected).

Fields of papers citing papers by Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside 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 Ting Lin Line = papers co-authored together 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201942
2 201840
3 201627
4 201925
5 202024
6 202222
7 202221
8 202015
9 201615
10 202214
11 202111
12 202111
13 202211
14 201811
15 202010
16 202310
17 20179
18 20229
19 20199
20 20228

About Ting Lin

Ting Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Oncology, having authored 42 papers that have together received 417 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (8 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Cancer Research (87 citations), Biophysics (32 citations), Orthopedics and Sports Medicine (34 citations), Biological Psychiatry (5 citations) and Molecular Biology (131 citations). Ting Lin has collaborated with scholars based in China, United States and France. Frequent co-authors include Shan Jiang, Haibo Li, Hao Lv, Jiefeng Huang, Biying Wang, Jiqi Yan, Sufang Qiu, Xingxu Zhao, Quanwei Zhang and Youliang Weng. Their work appears in journals such as Sleep And Breathing, International Journal of Molecular Sciences, Journal of Clinical Oncology, Nature and Science of Sleep and Journal of Psychiatric 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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