Xin Pan

685 total citations
32 papers, 463 citations indexed

About

Xin Pan is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Xin Pan has authored 32 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Oncology. Recurrent topics in Xin Pan's work include Genomics and Rare Diseases (5 papers), Phytochemical compounds biological activities (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Xin Pan is often cited by papers focused on Genomics and Rare Diseases (5 papers), Phytochemical compounds biological activities (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Xin Pan collaborates with scholars based in China, Japan and Singapore. Xin Pan's co-authors include Toshihiro Akihisa, Kazuo Koike, Masahiro Matsumoto, Yasuhiro Nakamura, Takashi Kikuchi, Eri Ogihara, Harukuni Tokuda, Fang Wang, Shasha Wang and Haifeng Qin and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Ethnopharmacology and Frontiers in Plant Science.

In The Last Decade

Xin Pan

27 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Pan China 12 215 64 53 49 48 32 463
Tongsheng Wang China 10 226 1.1× 108 1.7× 24 0.5× 21 0.4× 58 1.2× 48 481
Shengbin Dai China 12 291 1.4× 118 1.8× 91 1.7× 44 0.9× 23 0.5× 28 490
Stéfanie Schneider Germany 11 230 1.1× 66 1.0× 21 0.4× 17 0.3× 33 0.7× 13 485
Songbai Liu China 16 471 2.2× 121 1.9× 60 1.1× 26 0.5× 75 1.6× 74 755
Mingjuan Liao China 14 230 1.1× 104 1.6× 39 0.7× 30 0.6× 13 0.3× 28 474
Nicol Straková Czechia 12 284 1.3× 125 2.0× 25 0.5× 16 0.3× 8 0.2× 27 454
Hisayo Fukushima Japan 12 218 1.0× 35 0.5× 29 0.5× 7 0.1× 47 1.0× 22 434
Yonglie Zhou China 12 198 0.9× 73 1.1× 99 1.9× 11 0.2× 9 0.2× 32 531
Yiying Zhao China 9 225 1.0× 89 1.4× 18 0.3× 13 0.3× 25 0.5× 21 370
Amir Monfaredan Iran 11 152 0.7× 60 0.9× 21 0.4× 19 0.4× 38 0.8× 36 395

Countries citing papers authored by Xin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Pan. A scholar is included among the top collaborators of Xin 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 Xin Pan. Xin 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.
2.
Liu, Pengxin, Xin Pan, Mi Huang, et al.. (2025). Downregulation of collagen IV deposition and ITGB1-FAK signaling pathway to inhibit adipogenesis: A novel mechanism of swertiamarin in treating type 2 diabetes mellitus. International Journal of Biological Macromolecules. 299. 140048–140048. 6 indexed citations
3.
Yang, Nanyan, Mingze Zhang, Xin Pan, et al.. (2025). SNV/Indel and CNV Analysis in Trio‐WES for Intellectual and Developmental Disabilities: Diagnostic Yield & Cost‐Effectiveness. Clinical Genetics. 107(4). 402–412. 2 indexed citations
4.
Chew, Nicholas, Xin Pan, Bryan Chong, et al.. (2024). Type 2 diabetes mellitus and cardiometabolic outcomes in metabolic dysfunction-associated steatotic liver disease population. Diabetes Research and Clinical Practice. 211. 111652–111652. 14 indexed citations
5.
Pan, Xin, et al.. (2024). Association Between Depressive Symptoms and Comorbidities Among Elderly Diabetic Individuals in China. Brain and Behavior. 15(1). e70232–e70232.
6.
Pan, Xin, Li Liu, Xu Zhang, et al.. (2024). FBXO11 variants are associated with intellectual disability and variable clinical manifestation in Chinese affected individuals. Journal of Human Genetics. 69(8). 391–400.
7.
Zheng, Chunmei, et al.. (2024). Regulatory function of the endogenous hormone in the germination process of quinoa seeds. Frontiers in Plant Science. 14. 1322986–1322986. 7 indexed citations
8.
Yang, Chen, Xin Pan, Wenqi Liu, et al.. (2023). Black mulberry extract inhibits hepatic adipogenesis through AMPK/mTOR signaling pathway in T2DM mice. Journal of Ethnopharmacology. 319(Pt 2). 117216–117216. 13 indexed citations
9.
10.
Pan, Xin, Sihan Liu, Li Liu, et al.. (2023). Whole exome sequencing and transcriptome analysis in two unrelated patients with novel SET mutations. Journal of Human Genetics. 68(12). 867–874. 2 indexed citations
11.
Tan, Bo, Sihan Liu, Xin Pan, et al.. (2023). Expanding the mutational and clinical spectrum of Chinese intellectual disability patients with two novel CTCF variants. Frontiers in Pediatrics. 11. 1195862–1195862. 1 indexed citations
12.
Jiang, Aimin, Ye Zhou, Wenliang Gong, et al.. (2022). CCNA2 as an Immunological Biomarker Encompassing Tumor Microenvironment and Therapeutic Response in Multiple Cancer Types. Oxidative Medicine and Cellular Longevity. 2022(1). 5910575–5910575. 38 indexed citations
13.
Li, Xiaoduo, Li Liu, Xu Zhang, et al.. (2022). Prenatal diagnosis identifies compound heterozygous variants in RYR1 that causes ultrasound abnormalities in a fetus. BMC Medical Genomics. 15(1). 202–202. 1 indexed citations
14.
Graham, Mindy K., Rulin Wang, Ajay Vaghasia, et al.. (2022). Single‐cell atlas of epithelial and stromal cell heterogeneity by lobe and strain in the mouse prostate. The Prostate. 83(3). 286–303. 11 indexed citations
15.
Zhang, Xu, Li Liu, Yang Liu, & Xin Pan. (2021). Case Report: Paternal Uniparental Isodisomy and Heterodisomy of Chromosome 16 With a Normal Phenotype. Frontiers in Pediatrics. 9. 732645–732645.
16.
Quek, Jingxuan, Wen Hui Lim, Cheng Han Ng, et al.. (2021). The Association of Plant-Based Diet With Cardiovascular Disease and Mortality: A Meta-Analysis and Systematic Review of Prospect Cohort Studies. Frontiers in Cardiovascular Medicine. 8. 756810–756810. 69 indexed citations
17.
Pan, Xin & Xiaoxin Ma. (2020). A Novel Six-Gene Signature for Prognosis Prediction in Ovarian Cancer. Frontiers in Genetics. 11. 1006–1006. 11 indexed citations
18.
Zou, Shengqiang, et al.. (2018). Myeloperoxidase -463 G/A polymorphism is associated with lung cancer risk. Journal of Cancer Research and Therapeutics. 14(Suppl 2). S282–S287. 5 indexed citations
19.
Pan, Xin, Masahiro Matsumoto, Yasuhiro Nakamura, et al.. (2014). Three New and Other Limonoids from the Hexane Extract of Melia azedarach Fruits and Their Cytotoxic Activities. Chemistry & Biodiversity. 11(7). 987–1000. 23 indexed citations
20.
Pan, Xin, Masahiro Matsumoto, Eri Ogihara, et al.. (2014). Cytotoxic and Nitric Oxide Production‐Inhibitory Activities of Limonoids and Other Compounds from the Leaves and Bark ofMelia azedarach. Chemistry & Biodiversity. 11(8). 1121–1139. 29 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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