Xiaohua Yan

4.7k total citations · 1 hit paper
79 papers, 3.4k citations indexed

About

Xiaohua Yan is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Xiaohua Yan has authored 79 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 11 papers in Epidemiology and 8 papers in Oncology. Recurrent topics in Xiaohua Yan's work include TGF-β signaling in diseases (20 papers), Ubiquitin and proteasome pathways (9 papers) and Cancer-related gene regulation (8 papers). Xiaohua Yan is often cited by papers focused on TGF-β signaling in diseases (20 papers), Ubiquitin and proteasome pathways (9 papers) and Cancer-related gene regulation (8 papers). Xiaohua Yan collaborates with scholars based in China, United States and Canada. Xiaohua Yan's co-authors include Ye‐Guang Chen, Ziying Liu, Thomas E. Roche, Shane A. Kasten, Xiangyang Xiong, Jason C. Baker, Yasuaki Hiromasa, Xiaoming Gong, Tao Peng and Ali Türkan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Xiaohua Yan

76 papers receiving 3.3k citations

Hit Papers

Single-cell RNA-seq reveals that glioblastoma recapitulat... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohua Yan China 30 2.1k 588 487 360 309 79 3.4k
Min Fang United States 34 1.8k 0.9× 403 0.7× 848 1.7× 242 0.7× 437 1.4× 182 4.7k
Lakshmi Puttagunta Canada 23 1.5k 0.7× 812 1.4× 291 0.6× 715 2.0× 456 1.5× 62 3.3k
Arántzazu Alfranca Spain 33 1.5k 0.7× 814 1.4× 772 1.6× 372 1.0× 737 2.4× 70 3.3k
Karol Bomsztyk United States 43 4.0k 1.9× 746 1.3× 522 1.1× 165 0.5× 881 2.9× 123 5.6k
Bailin Zhang China 21 2.1k 1.0× 1.0k 1.8× 627 1.3× 236 0.7× 255 0.8× 93 3.7k
Michal Safran Israel 31 2.4k 1.2× 954 1.6× 338 0.7× 194 0.5× 273 0.9× 46 3.6k
Amy Hutchinson United States 31 2.7k 1.3× 339 0.6× 1.3k 2.6× 266 0.7× 293 0.9× 73 4.5k
William B. Coleman United States 37 2.2k 1.0× 844 1.4× 728 1.5× 214 0.6× 129 0.4× 99 3.9k
Mirna Lechpammer United States 23 1.8k 0.9× 1.3k 2.1× 505 1.0× 864 2.4× 153 0.5× 68 3.2k
Gert Rijksen Netherlands 32 2.7k 1.3× 626 1.1× 1.2k 2.5× 226 0.6× 260 0.8× 151 4.2k

Countries citing papers authored by Xiaohua Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohua Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohua Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohua Yan. A scholar is included among the top collaborators of Xiaohua Yan 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 Xiaohua Yan. Xiaohua Yan 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.
Gao, Lili, Min Lin, Xiaohua Yan, et al.. (2025). Novel PKD1 Mutation (c.G10086T) Drives High Intracranial Aneurysm Risk in Autosomal Dominant Polycystic Kidney Disease. European Journal of Neurology. 32(2). e70086–e70086.
2.
Wang, Bin, Yongqiang Wang, Ting Pan, et al.. (2025). Targeting a key disulfide linkage to regulate RIG-I condensation and cytosolic RNA-sensing. Nature Cell Biology. 27(5). 817–834. 1 indexed citations
3.
4.
Xu, Linlin, Feifei Zhou, Hailong Wang, et al.. (2024). Linear polyubiquitylation of Gli protein regulates its protein stability and facilitates tumor growth in colorectal cancer. Cell Death Discovery. 10(1). 369–369. 3 indexed citations
5.
Yan, Xiaohua, et al.. (2024). Deubiquitinase USP10 promotes osteosarcoma autophagy and progression through regulating GSK3β-ULK1 axis. Cell & Bioscience. 14(1). 111–111. 4 indexed citations
6.
He, Xi, Honghui Li, Yaru Liu, et al.. (2023). CSF2 upregulates CXCL3 expression in adipocytes to promote metastasis of breast cancer via the FAK signaling pathway. Journal of Molecular Cell Biology. 15(4). 11 indexed citations
7.
Couturier, Charles, Shamini Ayyadhury, Phuong Uyen Le, et al.. (2020). Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy. Nature Communications. 11(1). 3406–3406. 312 indexed citations breakdown →
8.
Yan, Xiaohua, et al.. (2017). Rehabilitation effect of trunk control training under suspension on motor function of stroke patients in sequela period. SHILAP Revista de lepidopterología. 3 indexed citations
10.
Yan, Xiaohua, Xiangyang Xiong, & Ye‐Guang Chen. (2017). Feedback regulation of TGF-β signaling. Acta Biochimica et Biophysica Sinica. 50(1). 37–50. 94 indexed citations
11.
He, Kangmin, Xiaohua Yan, Nan Li, et al.. (2015). Internalization of the TGF-β type I receptor into caveolin-1 and EEA1 double-positive early endosomes. Cell Research. 25(6). 738–752. 72 indexed citations
13.
Yan, Xiaohua, Hongwei Liao, Minzhang Cheng, et al.. (2015). Smad7 Protein Interacts with Receptor-regulated Smads (R-Smads) to Inhibit Transforming Growth Factor-β (TGF-β)/Smad Signaling. Journal of Biological Chemistry. 291(1). 382–392. 153 indexed citations
14.
Zhao, Peiqing, et al.. (2013). Association between the TRAIL single nucleotide polymorphism rs1131580 and type 2 diabetes mellitus in a Han Chinese population. Genetics and Molecular Research. 12(3). 3455–3464. 5 indexed citations
15.
Wu, Chih-Hao, Lianming Liao, Xiaohua Yan, et al.. (2013). Effects of Yangxue Qingnao Granules on chronic cerebral circulation insufficiency: a randomized, double‐blind, double‐dummy, controlled multicentre trial. Psychogeriatrics. 13(1). 29–34. 16 indexed citations
16.
Yan, Xiaohua, et al.. (2013). Yin Yang 1 (YY1) synergizes with Smad7 to inhibit TGF-β signaling in the nucleus. Science China Life Sciences. 57(1). 128–136. 17 indexed citations
17.
Yan, Xiaohua, et al.. (2006). A gene encoding alanine racemase is involved in spore germination in Bacillus thuringiensis. Archives of Microbiology. 187(5). 371–378. 22 indexed citations
18.
Jarow, Jonathan P., William W. Wright, Terry R. Brown, Xiaohua Yan, & Barry R. Zirkin. (2005). Bioactivity of Androgens Within the Testes and Serum of Normal Men. Journal of Andrology. 26(3). 343–348. 32 indexed citations
19.
Zhao, Ming, Sharyn D. Baker, Xiaohua Yan, et al.. (2004). Simultaneous determination of steroid composition of human testicular fluid using liquid chromatography tandem mass spectrometry. Steroids. 69(11-12). 721–726. 40 indexed citations
20.
Coviello, Andrea D., William J. Bremner, Alvin M. Matsumoto, et al.. (2004). Intratesticular Testosterone Concentrations Comparable With Serum Levels Are Not Sufficient to Maintain Normal Sperm Production in Men Receiving a Hormonal Contraceptive Regimen. Journal of Andrology. 25(6). 931–938. 110 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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