Xiangchun Pan

721 total citations
20 papers, 206 citations indexed

About

Xiangchun Pan is a scholar working on Molecular Biology, Cancer Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Xiangchun Pan has authored 20 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Xiangchun Pan's work include Epigenetics and DNA Methylation (7 papers), Cancer-related molecular mechanisms research (7 papers) and Reproductive Biology and Fertility (5 papers). Xiangchun Pan is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Cancer-related molecular mechanisms research (7 papers) and Reproductive Biology and Fertility (5 papers). Xiangchun Pan collaborates with scholars based in China, Australia and Denmark. Xiangchun Pan's co-authors include Xiaolong Yuan, Yingting He, Zhe Zhang, Nian Li, Jiaqi Li, Penghao Wang, Bin Ma, Wentao Gong, Xiaofeng Zhou and Jiaqi Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Cell Death and Differentiation.

In The Last Decade

Xiangchun Pan

19 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangchun Pan China 9 117 66 64 51 20 20 206
Yingting He China 11 116 1.0× 86 1.3× 107 1.7× 65 1.3× 25 1.3× 21 256
Shiyan Sui China 11 123 1.1× 54 0.8× 73 1.1× 42 0.8× 18 0.9× 18 333
Sidney Alcântara Pereira Brazil 9 98 0.8× 24 0.4× 69 1.1× 72 1.4× 94 4.7× 14 327
Vijay Simha Baddela Germany 10 146 1.2× 91 1.4× 69 1.1× 95 1.9× 39 1.9× 19 342
Tahir Muhammad China 10 124 1.1× 46 0.7× 41 0.6× 133 2.6× 116 5.8× 22 293
Xinbao Zheng China 6 212 1.8× 42 0.6× 130 2.0× 141 2.8× 31 1.6× 12 315
Kaifeng Wu China 7 76 0.6× 19 0.3× 58 0.9× 23 0.5× 12 0.6× 13 164
Claire Stephens United States 8 67 0.6× 47 0.7× 63 1.0× 82 1.6× 129 6.5× 11 305
Aurélie Chaulot‐Talmon France 6 58 0.5× 17 0.3× 55 0.9× 52 1.0× 29 1.4× 10 126
Catherine Archilla France 11 189 1.6× 14 0.2× 54 0.8× 114 2.2× 33 1.6× 18 330

Countries citing papers authored by Xiangchun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xiangchun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangchun Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangchun Pan. A scholar is included among the top collaborators of Xiangchun Pan 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 Xiangchun Pan. Xiangchun Pan 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.
Pan, Xiangchun, et al.. (2025). Benchmarking strategies for CNV calling from whole genome bisulfite data in humans. Computational and Structural Biotechnology Journal. 27. 912–919.
2.
Wang, Yifei, Weiwei Jin, Xiangchun Pan, et al.. (2024). Pig-eRNAdb: a comprehensive enhancer and eRNA dataset of pigs. Scientific Data. 11(1). 157–157. 3 indexed citations
3.
Lin, Qing, Tingting Li, Xiangchun Pan, et al.. (2024). Integrating meta‐analysis of genome‐wide association study with Pig Genotype‐Tissue Expression resources uncovers the genetic architecture for age at first farrowing in pigs. SHILAP Revista de lepidopterología. 2(3). 238–249. 3 indexed citations
4.
Gong, Wentao, et al.. (2023). Comprehensive Analysis of CircRNA Expression Profiles in Multiple Tissues of Pigs. International Journal of Molecular Sciences. 24(22). 16205–16205. 2 indexed citations
5.
Yuan, Xiaolong, Na Chen, Nian Li, et al.. (2023). Single-cell multi-omics profiling reveals key regulatory mechanisms that poise germinal vesicle oocytes for maturation in pigs. Cellular and Molecular Life Sciences. 80(8). 222–222. 8 indexed citations
6.
7.
He, Yingting, et al.. (2023). Advances in Oocyte Maturation In Vivo and In Vitro in Mammals. International Journal of Molecular Sciences. 24(10). 9059–9059. 42 indexed citations
8.
Hu, Bowen, Changbin Zhao, Xiangchun Pan, et al.. (2023). Local GHR roles in regulation of mitochondrial function through mitochondrial biogenesis during myoblast differentiation. Cell Communication and Signaling. 21(1). 148–148. 5 indexed citations
9.
Zhou, Xiaofeng, Yingting He, Xiangchun Pan, et al.. (2022). DNMT1-mediated lncRNA IFFD controls the follicular development via targeting GLI1 by sponging miR-370. Cell Death and Differentiation. 30(2). 576–588. 20 indexed citations
10.
Gong, Wentao, Xiangchun Pan, Guanyu Ji, et al.. (2022). Benchmarking DNA methylation analysis of 14 alignment algorithms for whole genome bisulfite sequencing in mammals. Computational and Structural Biotechnology Journal. 20. 4704–4716. 8 indexed citations
11.
Liu, Ruiqi, Zhiting Xu, Jinyan Teng, et al.. (2022). Evaluation of six machine learning classification algorithms in pig breed identification usingSNPsarray data. Animal Genetics. 54(2). 113–122. 11 indexed citations
12.
Pan, Xiangchun, Yifei Wang, Wentao Gong, et al.. (2022). Expression Profile of Housekeeping Genes and Tissue-Specific Genes in Multiple Tissues of Pigs. Animals. 12(24). 3539–3539. 5 indexed citations
13.
Pan, Xiangchun, Qingnan Li, Wentao Gong, et al.. (2021). Alternative Splicing Dynamics of the Hypothalamus–Pituitary–Ovary Axis During Pubertal Transition in Gilts. Frontiers in Genetics. 12. 592669–592669. 8 indexed citations
14.
Zhou, Xiaofeng, Yingting He, Nian Li, et al.. (2021). DNA methylation mediated RSPO2 to promote follicular development in mammals. Cell Death and Disease. 12(7). 653–653. 24 indexed citations
15.
Pan, Xiangchun, Wentao Gong, Yingting He, et al.. (2021). Ovary-derived circular RNAs profile analysis during the onset of puberty in gilts. BMC Genomics. 22(1). 445–445. 13 indexed citations
16.
Li, Qingnan, Xiangchun Pan, Nian Li, et al.. (2021). Identification of Circular RNAs in Hypothalamus of Gilts during the Onset of Puberty. Genes. 12(1). 84–84. 9 indexed citations
17.
Pan, Xiangchun, et al.. (2020). STAT4 targets KISS1 to promote the apoptosis of ovarian granulosa cells. Journal of Ovarian Research. 13(1). 135–135. 14 indexed citations
18.
Chen, Zitao, Xiangchun Pan, Hao Zhang, et al.. (2020). Pituitary-Derived Circular RNAs Expression and Regulatory Network Prediction During the Onset of Puberty in Landrace × Yorkshire Crossbred Pigs. Frontiers in Genetics. 11. 135–135. 9 indexed citations
19.
Yuan, Xiaolong, Shaopan Ye, Zitao Chen, et al.. (2019). Dynamic DNA methylation of ovaries during pubertal transition in gilts. BMC Genomics. 20(1). 510–510. 13 indexed citations
20.
Xing, Shaozhen, Xiangchun Pan, Qiang Sun, et al.. (2017). Complete Genome Sequence of a Novel Multidrug-Resistant Klebsiella pneumoniae Phage, vB_Kpn_IME260. Genome Announcements. 5(19). 6 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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