Dangsheng Li

9.7k citations
52 papers · 4.4k indexed · 1 hit paper · h-index 32
Topics
CRISPR and Genetic Engineering (8 papers)Pluripotent Stem Cells Research (6 papers)RNA modifications and cancer (6 papers)

In The Last Decade

Dangsheng Li

52 papers receiving 4.3k citations

Hit Papers

A Cytoplasmic NF-κB Interacting Long Noncoding RNA Blocks...20152026201820222015200400600

Peers

Dangsheng Li
Comparison fields: 5 of 121
  • Molecular Biology 3.4k
  • Cancer Research 1.4k
  • Genetics 537
  • Immunology 537
  • Oncology 367
Replace Lukas E. Dow with:
Lukas E. Dow United States
Cizhong Jiang China
Junjiu Huang China
Wei Yu China
Jianping Zhang China
Nikolay Malinin United States
Yifan Dai China
Clea Bárcena Spain
Sébastien Gingras United States
Vic E. Myer United States
Dangsheng Li relative to Lukas E. Dow United States Lukas E. Dow's profile →
Citations per field
00.5×1.7×
Lukas E. Dow · 1×
Citations per year

Countries citing papers authored by Dangsheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Dangsheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dangsheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dangsheng Li. A scholar is included among the top collaborators of Dangsheng Li 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 Dangsheng Li. Dangsheng Li 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 54
2 43
3 4
4 86
5 171
6 4
7 87
8
A Cytoplasmic NF-κB Interacting Long Noncoding RNA Blocks IκB Phosphorylation and Suppresses Breast Cancer Metastasisbreakdown →
746
9 93
10 141
11 27
12 97
13 454
14 141
15 70
16 67
17 22
18 9
19 29
20 62

About Dangsheng Li

Dangsheng Li is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 52 papers that have together received 4.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Pluripotent Stem Cells Research (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (1.4k citations), Aging (100 citations) and Molecular Biology (3.4k citations). Dangsheng Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinsong Li, Mo‐Fang Liu, Bodu Liu, Mu‐Sheng Zeng, Lijuan Sun, Ling Lin, Fengxi Su, Chang Gong, Erwei Song and Yandan Yao. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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