Libing Shen

24 papers receiving 590 citations

Hit Papers

Generation of vascularized brain organoids to study neurovascular interactions 2022 · 222 citations
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Peers

Libing Shen
Comparison fields: 5 of 96
  • Developmental Neuroscience 58
  • Neurology 45
  • Molecular Biology 347
  • Cancer Research 62
  • Cellular and Molecular Neuroscience 73
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Sean Nygaard United States
María Duran‐Moreno Spain
Patricia Himmels Germany
Yuanyuan Xie China
Franziska Rother Germany
Ramya Sundararajan United States
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Andrew Vaillant United States
Denis Avey United States
Francesca Macchi Italy
Libing Shen relative to Sean Nygaard United States Sean Nygaard's profile →
Citations per field
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Citations per year

Countries citing papers authored by Libing Shen

Since Specialization
Citations

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

Fields of papers citing papers by Libing Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Generation of vascularized brain organoids to study neurovascular interactions
Hit paper breakdown →
2022222
2 201895
3 201675
4 201929
5 201826
6 201924
7 201822
8 201915
9 202114
10 201313
11 201413
12 202211
13 202211
14 20139
15 20154
16 20224
17
The Effects of Estradiol and Glucocorticoid on Human Osteosarcoma Cells: Similarities and Differences.
20164
18 20223
19 20133
20 20192

About Libing Shen

Libing Shen is a scholar working on Developmental Neuroscience, Biological Psychiatry, Molecular Biology, Neurology and Sensory Systems, having authored 25 papers that have together received 603 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), RNA modifications and cancer (4 papers), Genetic and Kidney Cyst Diseases (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Developmental Neuroscience (58 citations), Neurology (45 citations), Molecular Biology (347 citations), Cancer Research (62 citations) and Cellular and Molecular Neuroscience (73 citations). Libing Shen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qili Shi, Wenyuan Wang, Xun Gu, Zhao Zhang, Xiang-Chun Ju, Zhen‐Ge Luo, Yingying Zhou, Yang Li, Yuejun Chen and Peng-Ming Zeng. Their work appears in journals such as PLoS ONE, Frontiers in Genetics, Scientific Reports, Oncogenesis and Genome Biology and Evolution.

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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