Li Shen

12.7k citations
145 papers · 9.1k indexed · 4 hit papers · h-index 44
Topics
Epigenetics and DNA Methylation (25 papers)RNA modifications and cancer (17 papers)CRISPR and Genetic Engineering (10 papers)

In The Last Decade

Li Shen

139 papers receiving 8.9k citations

Hit Papers

Tet Proteins Can Convert 5-Methylcytosine to 5-Formylcyto...2011202620162021201120142022202250010001.5k2.0k2.5k

Peers

Li Shen
Comparison fields: 5 of 159
  • Molecular Biology 6.9k
  • Genetics 1.4k
  • Immunology 922
  • Public Health, Environmental and Occupational Health 690
  • Cancer Research 679
Replace Lucia Altucci with:
Lucia Altucci Italy
Magnar Bjørås Norway
Sung Ho Ryu South Korea
Patricia Boya Spain
Min Wang China
Keith D. Robertson United States
Robert A. Casero United States
Antonello Mai Italy
Ferdinando Nicoletti Italy
Steven Collins Australia
Li Shen relative to Lucia Altucci Italy Lucia Altucci's profile →
Citations per field
00.5×1.5×2.0×
Lucia Altucci · 1×
Citations per year

Countries citing papers authored by Li Shen

Since Specialization
Citations

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

Fields of papers citing papers by Li Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Li Shen. A scholar is included among the top collaborators of Li Shen 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 Li Shen. Li Shen 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
#WorkIndexed citations
1 0
2 0
3 4
4 0
5 11
6 1
7 17
8 19
9 3
10
A non-canonical cGAS–STING–PERK pathway facilitates the translational program critical for senescence and organ fibrosisbreakdown →
163
11 56
12 8
13 12
14 10
15 6
16 107
17 192
18 18
19 49
20
Tet Proteins Can Convert 5-Methylcytosine to 5-Formylcytosine and 5-Carboxylcytosinebreakdown →
2619

About Li Shen

Li Shen is a scholar working on Biological Psychiatry, Molecular Biology and Immunology, having authored 145 papers that have together received 9.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (25 papers), RNA modifications and cancer (17 papers) and CRISPR and Genetic Engineering (10 papers). The work is most often cited by research in Molecular Biology (6.9k citations), Genetics (1.4k citations) and Cancer Research (679 citations). Li Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yi Zhang, Chuan He, Qing Dai, Leonard B. Collins, Susan C. Wu, Shinsuke Ito, James A. Swenberg, Azusa Inoue, Shinpei Yamaguchi and Hao Wu. Their work appears in journals such as Nature, Science and Cell.

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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