Chunshen Long

439 total citations
22 papers, 309 citations indexed

About

Chunshen Long is a scholar working on Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chunshen Long has authored 22 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chunshen Long's work include Single-cell and spatial transcriptomics (8 papers), CRISPR and Genetic Engineering (8 papers) and Pluripotent Stem Cells Research (6 papers). Chunshen Long is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), CRISPR and Genetic Engineering (8 papers) and Pluripotent Stem Cells Research (6 papers). Chunshen Long collaborates with scholars based in China, United States and Japan. Chunshen Long's co-authors include Yongchun Zuo, Hanshuang Li, Pengfei Liang, Lei Yang, Shuai Liu, Wuritu Yang, Tao Li, Hao Wang, Xueling Li and Jinzhu Xiang and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and International Journal of Molecular Sciences.

In The Last Decade

Chunshen Long

21 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunshen Long China 11 246 48 38 21 18 22 309
Jianan Lin United States 8 187 0.8× 44 0.9× 33 0.9× 30 1.4× 29 1.6× 25 264
Dunarel Badescu Canada 7 189 0.8× 81 1.7× 28 0.7× 29 1.4× 30 1.7× 14 286
Ingrid Medina‐Martínez Mexico 9 205 0.8× 89 1.9× 38 1.0× 32 1.5× 21 1.2× 9 331
Xiaoning Tang China 5 177 0.7× 66 1.4× 28 0.7× 68 3.2× 46 2.6× 8 329
Natalia Briones United States 7 124 0.5× 54 1.1× 9 0.2× 24 1.1× 19 1.1× 12 198
Akhilesh Kumar Bajpai United States 8 164 0.7× 29 0.6× 20 0.5× 37 1.8× 75 4.2× 34 317
Diksha Sharma India 9 95 0.4× 18 0.4× 56 1.5× 8 0.4× 19 1.1× 22 202
Siôn L. Williams United States 11 270 1.1× 58 1.2× 11 0.3× 24 1.1× 35 1.9× 26 435
Sravanthi Davuluri India 8 121 0.5× 21 0.4× 19 0.5× 28 1.3× 68 3.8× 11 227
Georgios Tsaousis Greece 9 168 0.7× 47 1.0× 7 0.2× 31 1.5× 9 0.5× 32 294

Countries citing papers authored by Chunshen Long

Since Specialization
Citations

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

Fields of papers citing papers by Chunshen Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunshen Long

This figure shows the co-authorship network connecting the top 25 collaborators of Chunshen Long. A scholar is included among the top collaborators of Chunshen Long 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 Chunshen Long. Chunshen Long 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.
Long, Chunshen, et al.. (2024). A composite scaling network of EfficientNet for improving spatial domain identification performance. Communications Biology. 7(1). 1567–1567. 7 indexed citations
2.
Hong, Yan, Hanshuang Li, Chunshen Long, et al.. (2024). An increment of diversity method for cell state trajectory inference of time-series scRNA-seq data. Fundamental Research. 4(4). 770–776. 8 indexed citations
3.
Liang, Pengfei, Hanshuang Li, Chunshen Long, et al.. (2024). Chromatin region binning of gene expression for improving embryo cell subtype identification. Computers in Biology and Medicine. 170. 108049–108049. 1 indexed citations
4.
Dong, Jing, Chunshen Long, Lei Wu, et al.. (2023). Downregulation of the expression of subgenomic chromosome A7 genes promotes plant height in resynthesized allopolyploid Brassica napus. Theoretical and Applied Genetics. 137(1). 11–11. 2 indexed citations
5.
Long, Chunshen, Hanshuang Li, Pengfei Liang, et al.. (2023). Deciphering the decisive factors driving fate bifurcations in somatic cell reprogramming. Molecular Therapy — Nucleic Acids. 34. 102044–102044. 4 indexed citations
6.
Li, Hanshuang, Chunshen Long, Hong Yan, Liaofu Luo, & Yongchun Zuo. (2023). Characterizing Cellular Differentiation Potency and Waddington Landscape via Energy Indicator. Research. 6. 118–118. 19 indexed citations
7.
Yang, Siqi, et al.. (2022). Competitive binding of TET1 and DNMT3A/B cooperates the DNA methylation pattern in human embryonic stem cells. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1865(7). 194861–194861. 7 indexed citations
8.
Li, Hanshuang, et al.. (2022). The Cumulative Formation of R-loop Interacts with Histone Modifications to Shape Cell Reprogramming. International Journal of Molecular Sciences. 23(3). 1567–1567. 6 indexed citations
9.
Liang, Pengfei, Chunshen Long, Haicheng Li, et al.. (2022). EmAtlas: a comprehensive atlas for exploring spatiotemporal activation in mammalian embryogenesis. Nucleic Acids Research. 51(D1). D924–D932. 15 indexed citations
10.
Wang, Hao, et al.. (2021). eHSCPr discriminating the cell identity involved in endothelial to hematopoietic transition. Bioinformatics. 37(15). 2157–2164. 31 indexed citations
11.
Liang, Pengfei, et al.. (2021). HelPredictor models single-cell transcriptome to predict human embryo lineage allocation. Briefings in Bioinformatics. 22(6). 11 indexed citations
13.
Long, Chunshen, Hanshuang Li, Xinru Li, Wuritu Yang, & Yongchun Zuo. (2021). Nuclear Transfer Arrest Embryos Show Massive Dysregulation of Genes Involved in Transcription Pathways. International Journal of Molecular Sciences. 22(15). 8187–8187. 3 indexed citations
14.
Xiang, Jinzhu, Ying Xing, Chunshen Long, et al.. (2020). Fatty acid metabolism as an indicator for the maternal–to–zygotic transition in porcine IVF embryos revealed by RNA sequencing. Theriogenology. 151. 128–136. 10 indexed citations
15.
Liang, Pengfei, Wuritu Yang, Xing Chen, et al.. (2020). Machine Learning of Single-Cell Transcriptome Highly Identifies mRNA Signature by Comparing F-Score Selection with DGE Analysis. Molecular Therapy — Nucleic Acids. 20. 155–163. 30 indexed citations
16.
Li, Hanshuang, Chunshen Long, Jinzhu Xiang, et al.. (2020). Dppa2/4 as a trigger of signaling pathways to promote zygote genome activation by binding to CG-rich region. Briefings in Bioinformatics. 22(4). 23 indexed citations
17.
Li, Hanshuang, Na Ta, Chunshen Long, et al.. (2019). The spatial binding model of the pioneer factor Oct4 with its target genes during cell reprogramming. Computational and Structural Biotechnology Journal. 17. 1226–1233. 22 indexed citations
18.
Long, Chunshen, et al.. (2019). EmExplorer: a database for exploring time activation of gene expression in mammalian embryos. Open Biology. 9(6). 190054–190054. 40 indexed citations
19.
Price, Deborah, D. A. Neuendorff, J. A. Carroll, et al.. (2018). 138 Prenatal stress alters genes in signaling pathways influencing behavior and stress response by differential methylation of DNA.. Journal of Animal Science. 96(suppl_3). 349–350.
20.
Long, Chunshen, et al.. (2018). Transcriptome Comparisons of Multi-Species Identify Differential Genome Activation of Mammals Embryogenesis. IEEE Access. 7. 7794–7802. 33 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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