Xiaoying Fan

5.1k total citations · 2 hit papers
63 papers, 2.8k citations indexed

About

Xiaoying Fan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Xiaoying Fan has authored 63 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Cancer Research. Recurrent topics in Xiaoying Fan's work include Single-cell and spatial transcriptomics (8 papers), Epigenetics and DNA Methylation (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Xiaoying Fan is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Epigenetics and DNA Methylation (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Xiaoying Fan collaborates with scholars based in China, United States and United Kingdom. Xiaoying Fan's co-authors include Fuchou Tang, Yuqiong Hu, Xinglong Wu, Hongshan Guo, Yanyi Huang, Xiannian Zhang, Lu Wen, Ji Dong, Thomas L. Chenevert and Yu Hou and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Xiaoying Fan

57 papers receiving 2.8k citations

Hit Papers

A single-cell RNA-seq survey of the developmental landsca... 2018 2026 2020 2023 2018 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoying Fan China 26 1.4k 522 414 329 298 63 2.8k
Akihiro Inoue Japan 26 1.5k 1.1× 183 0.4× 192 0.5× 205 0.6× 299 1.0× 151 3.8k
Murat Günel United States 43 2.5k 1.7× 332 0.6× 148 0.4× 392 1.2× 328 1.1× 135 6.6k
K. Sue O’Shea United States 36 5.0k 3.5× 1.1k 2.0× 221 0.5× 414 1.3× 346 1.2× 83 7.2k
Guo‐Yuan Yang United States 37 2.2k 1.6× 826 1.6× 155 0.4× 514 1.6× 401 1.3× 84 4.9k
Odile Boespflug‐Tanguy France 42 3.7k 2.6× 204 0.4× 142 0.3× 585 1.8× 507 1.7× 193 5.8k
Gabriela Pavlínková United States 28 1.0k 0.7× 193 0.4× 662 1.6× 198 0.6× 57 0.2× 65 2.1k
Mitsuyo Maeda Japan 26 3.5k 2.5× 320 0.6× 232 0.6× 319 1.0× 297 1.0× 59 4.9k
Elisabet Wallgard Sweden 7 2.0k 1.4× 421 0.8× 141 0.3× 256 0.8× 229 0.8× 7 3.8k
June‐Key Chung South Korea 39 881 0.6× 482 0.9× 1.7k 4.0× 103 0.3× 366 1.2× 154 4.6k
Stephen Moore United States 23 1.5k 1.0× 193 0.4× 350 0.8× 59 0.2× 87 0.3× 53 2.5k

Countries citing papers authored by Xiaoying Fan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Fan. A scholar is included among the top collaborators of Xiaoying Fan 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 Xiaoying Fan. Xiaoying Fan 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.
Li, Wen, Dan Su, Qingpei Huang, et al.. (2025). Identification of the core regulatory program driving NEUROD1-induced neuronal reprogramming. Cell Reports. 44(4). 115523–115523.
2.
Zhang, Liwen, Dandan Hu, Dan Su, et al.. (2025). Interrogating subclonal heterogeneity of liver cancer with single-cell multi-omics analysis. Scientific Reports. 15(1). 39021–39021.
3.
Li, Wangping, Yadong Liu, Xiaodong Wu, et al.. (2024). Soil Texture Mapping in the Permafrost Region: A Case Study on the Eastern Qinghai–Tibet Plateau. Land. 13(11). 1855–1855.
4.
Xu, Liang, et al.. (2024). Analysis on the interaction of coumarin isomers with human serum albumin in the presence of cisplatin. Journal of Molecular Structure. 1306. 137951–137951.
5.
Cao, Xiaoyan, Xiaodong Wu, Tonghua Wu, et al.. (2023). Spatial-temporal variation in XCH4 during 2009–2021 and its driving factors across the land of the Northern Hemisphere. Atmospheric Research. 291. 106811–106811. 3 indexed citations
6.
Ma, Yingchun, Yaru Wei, Xiaoying Fan, et al.. (2023). Chemical Constituents from Asarum himalaicum. Chemistry of Natural Compounds. 59(3). 606–608. 1 indexed citations
7.
Wei, Xianhua, Xiaodong Wu, Dong Wang, et al.. (2022). Spatiotemporal variations and driving factors for potential wind erosion on the Mongolian Plateau. The Science of The Total Environment. 862. 160829–160829. 32 indexed citations
8.
Li, Xin, et al.. (2021). Review of Metabolomics-Based Biomarker Research for Parkinson’s Disease. Molecular Neurobiology. 59(2). 1041–1057. 26 indexed citations
9.
Yu, Kai, Yuqiong Hu, Fan Wu, et al.. (2020). Surveying brain tumor heterogeneity by single-cell RNA-sequencing of multi-sector biopsies. National Science Review. 7(8). 1306–1318. 98 indexed citations
10.
Hou, Siyuan, Zongcheng Li, Xiaona Zheng, et al.. (2020). Embryonic endothelial evolution towards first hematopoietic stem cells revealed by single-cell transcriptomic and functional analyses. Cell Research. 30(5). 376–392. 84 indexed citations
11.
Liu, Yawei, Xiaoying Fan, Rui Wang, et al.. (2018). Single-cell RNA-seq reveals the diversity of trophoblast subtypes and patterns of differentiation in the human placenta . Cell Research. 28(8). 819–832. 286 indexed citations breakdown →
12.
Zhong, Suijuan, Shu Zhang, Xiaoying Fan, et al.. (2018). A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex. Nature. 555(7697). 524–528. 408 indexed citations breakdown →
13.
Fan, Xiaoying, et al.. (2018). Evaluation of Anti-Nociceptive and Anti-Inflammatory Effect of Luteolin in Mice. Journal of Environmental Pathology Toxicology and Oncology. 37(4). 351–364. 29 indexed citations
14.
Guo, Hongshan, Boqiang Hu, Liying Yan, et al.. (2016). DNA methylation and chromatin accessibility profiling of mouse and human fetal germ cells. Cell Research. 27(2). 165–183. 81 indexed citations
15.
Yan, Liying, Hongshan Guo, Boqiang Hu, et al.. (2015). Epigenomic Landscape of Human Fetal Brain, Heart, and Liver. Journal of Biological Chemistry. 291(9). 4386–4398. 38 indexed citations
16.
Fan, Xiaoying, Xiannian Zhang, Xinglong Wu, et al.. (2015). Single-cell RNA-seq transcriptome analysis of linear and circular RNAs in mouse preimplantation embryos. Genome Biology. 16(1). 148–148. 312 indexed citations
17.
Cheng, Ruolin, Yi-Han Lou, Tao Zhang, et al.. (2012). Disruption of Bombyx mori nucleopolyhedrovirus ORF71 (Bm71) results in inefficient budded virus production and decreased virulence in host larvae. Virus Genes. 45(1). 161–168. 7 indexed citations
18.
Ronen, Itamar, Xiaoying Fan, Sahil Jain, et al.. (2009). Regional age-related effects in the monkey brain measured with 1H magnetic resonance spectroscopy. Neurobiology of Aging. 32(6). 1138–1148. 3 indexed citations
20.
Sundgren, Pia C., Xiaoying Fan, Patrick Weybright, et al.. (2006). Differentiation of recurrent brain tumor versus radiation injury using diffusion tensor imaging in patients with new contrast-enhancing lesions. Magnetic Resonance Imaging. 24(9). 1131–1142. 135 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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