Libing Shen

2.3k total citations · 1 hit paper
25 papers, 603 citations indexed

About

Libing Shen is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Libing Shen has authored 25 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Libing Shen's work include Genomics and Phylogenetic Studies (5 papers), RNA modifications and cancer (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Libing Shen is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), RNA modifications and cancer (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Libing Shen collaborates with scholars based in China, United States and Taiwan. Libing Shen's co-authors include Qili Shi, Wenyuan Wang, Xun Gu, Zhen‐Ge Luo, Xiang-Chun Ju, Zhao Zhang, Yuejun Chen, Xin-Yao Sun, Yingying Zhou and Yang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Libing Shen

24 papers receiving 590 citations

Hit Papers

Generation of vascularized brain organoids to study neuro... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Libing Shen China 12 347 84 73 72 62 25 603
Yuanyuan Xie China 16 285 0.8× 44 0.5× 46 0.6× 36 0.5× 98 1.6× 41 773
Pinar Mesci United States 9 501 1.4× 45 0.5× 94 1.3× 104 1.4× 114 1.8× 17 864
Elin Andersson Sweden 15 397 1.1× 86 1.0× 263 3.6× 35 0.5× 51 0.8× 22 819
Francesca Macchi Italy 18 252 0.7× 66 0.8× 192 2.6× 67 0.9× 21 0.3× 29 782
Ole Wiskow United States 7 638 1.8× 130 1.5× 265 3.6× 101 1.4× 48 0.8× 9 1.1k
Laëtitia Aubry France 11 518 1.5× 61 0.7× 263 3.6× 69 1.0× 29 0.5× 16 751
Roberto H. Herai Brazil 19 779 2.2× 116 1.4× 132 1.8× 33 0.5× 75 1.2× 52 1.3k
G. Cederquist United States 11 619 1.8× 162 1.9× 157 2.2× 49 0.7× 32 0.5× 27 1.0k
Alexandre D. Baffet France 13 373 1.1× 33 0.4× 38 0.5× 45 0.6× 30 0.5× 18 591
Tomonari Awaya Japan 17 691 2.0× 70 0.8× 60 0.8× 34 0.5× 48 0.8× 55 1.1k

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-authorship network of co-authors of Libing Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Libing Shen. A scholar is included among the top collaborators of Libing 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 Libing Shen. Libing 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
1.
Zou, Yangyun, H. J. Yang, Jingqi Zhou, et al.. (2024). Anciently duplicated genes continuously recruited to heart expression in vertebrate evolution are associated with heart chamber increase. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 342(2). 106–114. 1 indexed citations
2.
Chen, Weicheng, et al.. (2024). De novo and inherited micro-CNV at 16p13.11 in 21 Chinese patients with defective cardiac left-right patterning. Frontiers in Genetics. 15. 1458953–1458953. 1 indexed citations
3.
Zhou, Jingqi, et al.. (2022). Draft Genome of White-Blotched River Stingray Provides Novel Clues for Niche Adaptation and Skeleton Formation. Genomics Proteomics & Bioinformatics. 21(3). 501–514. 3 indexed citations
4.
Fu, Fangqiu, Xiaoting Tao, Zhendong Gao, et al.. (2022). Identification of Germline Mutations in East-Asian Young Never-Smokers with Lung Adenocarcinoma by Whole-Exome Sequencing. PubMed. 3(2). 182–189. 11 indexed citations
5.
Chen, Weicheng, Yuan Zhang, Libing Shen, et al.. (2022). Biallelic DNAH9 mutations are identified in Chinese patients with defective left–right patterning and cilia-related complex congenital heart disease. Human Genetics. 141(8). 1339–1353. 11 indexed citations
6.
Chen, Wei-Cheng, et al.. (2022). Biallelic mutations of TTC12 and TTC21B were identified in Chinese patients with multisystem ciliopathy syndromes. Human Genomics. 16(1). 48–48. 4 indexed citations
7.
Shen, Libing, et al.. (2021). Comprehensive Analysis of APA Events and Their Association With Tumor Microenvironment in Lung Adenocarcinoma. Frontiers in Genetics. 12. 645360–645360. 14 indexed citations
8.
Liu, Ake, et al.. (2019). Convergent degeneration of olfactory receptor gene repertoires in marine mammals. BMC Genomics. 20(1). 977–977. 24 indexed citations
9.
Shi, Qili, et al.. (2019). Integrative analysis identifies DNMTs against immune-infiltrating neutrophils and dendritic cells in colorectal cancer. Epigenetics. 14(4). 392–404. 15 indexed citations
10.
Shi, Yuhan, Xuan Yao, Xing Wang, et al.. (2019). Conversion of Astrocytes and Fibroblasts into Functional Noradrenergic Neurons. Cell Reports. 28(3). 682–697.e7. 29 indexed citations
11.
Zhang, Yuehui, Jia Song, Qili Shi, et al.. (2019). The prognostic signature of the somatic mutations in Ewing sarcoma: from a network view. Japanese Journal of Clinical Oncology. 49(7). 604–613. 2 indexed citations
12.
Shen, Libing. (2018). The evolution of shame and guilt. PLoS ONE. 13(7). e0199448–e0199448. 22 indexed citations
13.
Shen, Libing, Qili Shi, & Wenyuan Wang. (2018). Double agents: genes with both oncogenic and tumor-suppressor functions. Oncogenesis. 7(3). 25–25. 95 indexed citations
14.
Shen, Libing & Qili Shi. (2017). Omnigenic Model: The Evidence from Neurodegenerative Diseases. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Zhang, Zhao, Libing Shen, & Xun Gu. (2016). Evolutionary Dynamics of MERS-CoV: Potential Recombination, Positive Selection and Transmission. Scientific Reports. 6(1). 25049–25049. 75 indexed citations
16.
Shen, Libing, et al.. (2015). The Evolutionary Panorama of Organ-Specifically Expressed or Repressed Orthologous Genes in Nine Vertebrate Species. PLoS ONE. 10(2). e0116872–e0116872. 4 indexed citations
17.
Zhou, Zhan, Yudong Li, Ning Sun, et al.. (2014). Function and Evolution of Two Forms of SecDF Homologs in Streptomyces coelicolor. PLoS ONE. 9(8). e105237–e105237. 13 indexed citations
18.
Shen, Libing, Chao Chen, Hongxiang Zheng, & Jin Li. (2013). The Evolutionary Relationship between Microbial Rhodopsins and Metazoan Rhodopsins. The Scientific World JOURNAL. 2013(1). 435651–435651. 13 indexed citations
19.
Gu, Xun, Yangyun Zou, Wei Huang, et al.. (2013). Phylogenomic Distance Method for Analyzing Transcriptome Evolution Based on RNA-seq Data. Genome Biology and Evolution. 5(9). 1746–1753. 9 indexed citations
20.
Qiu, Rong, Chao Chen, Hong Jiang, et al.. (2013). Large Genomic Region Free of GWAS-Based Common Variants Contains Fertility-Related Genes. PLoS ONE. 8(4). e61917–e61917. 3 indexed citations

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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