Shuting Lin

1.3k citations
41 papers · 1.0k · h-index 16

Impact in

Papers in

    • RNA Research and Splicing 4
    • RNA regulation and disease 4
    • Nuclear Structure and Function 4
    • RNA modifications and cancer 3
    • RNA Interference and Gene Delivery 2
    • Epigenetics and DNA Methylation 2
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 3

Shuting Lin

37 papers receiving 1000 citations

Peers

Shuting Lin
Comparison fields: 5 of 107
  • Developmental Neuroscience 78
  • Cancer Research 194
  • Molecular Biology 642
  • Biological Psychiatry 19
  • Neurology 65
Replace Sinan Khor with:
Sinan Khor United States
Qingsong Wang China
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Mayra Paolillo Italy
Naoya Sato Japan
Sandeep K. Singh United States
Tânia Cristina Leite de Sampaio e Spohr Brazil
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Shuting Lin relative to Sinan Khor United States Sinan Khor's profile →
Citations per field
00.5×1.5×2.4×
Sinan Khor · 1×
Citations per year

Countries citing papers authored by Shuting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shuting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018177
2 2009141
3 201394
4 200989
5 201359
6 200858
7 201346
8 200842
9 200838
10 201430
11 201229
12 201728
13 201725
14 201424
15 201120
16 202117
17 201912
18 201911
19 20226
20 20226

About Shuting Lin

Shuting Lin is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA regulation and disease (4 papers), MicroRNA in disease regulation (4 papers), Nuclear Structure and Function (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), RNA Interference and Gene Delivery (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Developmental Neuroscience (78 citations), Cancer Research (194 citations), Molecular Biology (642 citations), Biological Psychiatry (19 citations) and Neurology (65 citations). Shuting Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ying‐Hui Fu, Louis J. Ptáček, Lingyun Xu, Dechun Feng, Yan Xu, Mary Y. Heng, Yinghui Fu, Luoying Zhang, Ying Wang and Yong Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Genomics, Journal of the American College of Nutrition, Journal of Interferon & Cytokine Research and Journal of Neuroscience.

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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