Shuting Lin

1.3k citations
41 papers · 987 · h-index 16

Impact in

Papers in

    • Nuclear Structure and Function 4
    • RNA Research and Splicing 4
    • RNA regulation and disease 4
    • RNA modifications and cancer 4
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 3

Shuting Lin

36 papers receiving 979 citations

Peers

Shuting Lin
Comparison fields: 5 of 109
  • Developmental Neuroscience 82
  • Cancer Research 207
  • Molecular Biology 662
  • Neurology 71
  • Biological Psychiatry 19
Replace Sinan Khor with:
Sinan Khor United States
Qingsong Wang China
Yong Luo China
Jinpyo Hong South Korea
Naoya Sato Japan
He Huang China
Rita Lo Canada
Tânia Cristina Leite de Sampaio e Spohr Brazil
Shuting Lin relative to Sinan Khor United States Sinan Khor's profile →
Citations per field
00.5×1.5×2.3×
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 2018173
2 2009140
3 201394
4 200989
5 201359
6 200857
7 201346
8 200841
9 200838
10 201429
11 201728
12 201228
13 201724
14 201424
15 201120
16 202115
17 201911
18 201910
19 20246
20 20226

About Shuting Lin

Shuting Lin is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 987 indexed citations. Recurring topics across this work include Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers), RNA regulation and disease (4 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (4 papers), AI in cancer detection (3 papers), Cancer-related molecular mechanisms research (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Developmental Neuroscience (82 citations), Cancer Research (207 citations), Molecular Biology (662 citations), Neurology (71 citations) and Biological Psychiatry (19 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, Scientific Reports, Journal of Cereal Science and Academic Radiology.

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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