Shuibin Lin

11.7k total citations · 5 hit papers
84 papers, 8.1k citations indexed

About

Shuibin Lin is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shuibin Lin has authored 84 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 34 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Shuibin Lin's work include RNA modifications and cancer (53 papers), Cancer-related gene regulation (32 papers) and Cancer-related molecular mechanisms research (28 papers). Shuibin Lin is often cited by papers focused on RNA modifications and cancer (53 papers), Cancer-related gene regulation (32 papers) and Cancer-related molecular mechanisms research (28 papers). Shuibin Lin collaborates with scholars based in China, United States and South Korea. Shuibin Lin's co-authors include Richard I. Gregory, Junho Choe, Peng Du, Robinson Triboulet, Guizhi Zhu, Qi Liu, Sui Peng, Yi-Zhou Jiang, Xiang‐Yang Wang and Ting Su and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Shuibin Lin

83 papers receiving 8.0k citations

Hit Papers

MicroRNA biogenesis pathways in cancer 2015 2026 2018 2022 2015 2016 2018 2018 2021 500 1000 1.5k

Peers

Shuibin Lin
Comparison fields: 5 of 127
  • Molecular Biology 6.9k
  • Cancer Research 4.1k
  • Oncology 898
  • Immunology 710
  • Electrical and Electronic Engineering 539
Replace Fabio Petrocca with:
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Lasse S. Kristensen Denmark
Weijie Guo China
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Róisín M. Dwyer Ireland
Aurora Esquela‐Kerscher United States
Ming Guan China
Fabio Petrocca United States View profile →
Citations per field, relative to Shuibin Lin
Shuibin Lin · 1×
Citations per year, relative to Shuibin Lin
Shuibin Lin · 1×

Countries citing papers authored by Shuibin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shuibin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuibin Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shuibin Lin. A scholar is included among the top collaborators of Shuibin Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuibin Lin. Shuibin Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 25
3 4
4 30
5 84
6 33
7 52
8 7
9 125
10 53
11 95
12 19
13 138
14 46
15 25
16 111
17 98
18 7
19 43
20 137

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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