Fang Yan

844 total citations
33 papers, 616 citations indexed

About

Fang Yan is a scholar working on Hepatology, Molecular Biology and Surgery. According to data from OpenAlex, Fang Yan has authored 33 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hepatology, 10 papers in Molecular Biology and 9 papers in Surgery. Recurrent topics in Fang Yan's work include Liver physiology and pathology (8 papers), Liver Disease Diagnosis and Treatment (5 papers) and Pancreatic function and diabetes (5 papers). Fang Yan is often cited by papers focused on Liver physiology and pathology (8 papers), Liver Disease Diagnosis and Treatment (5 papers) and Pancreatic function and diabetes (5 papers). Fang Yan collaborates with scholars based in China, United States and Czechia. Fang Yan's co-authors include Ming‐Yang Chang, Shuyong Wang, Yunfang Wang, Juan Liu, Yuxin Su, Tao Chen, Xuetao Pei, Jie Chen, Chuanjiang Li and Jie Hu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Fang Yan

28 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fang Yan China	13	294	187	183	138	69	33	616
Oswaldo A. Lozoya United States	10	245 0.8×	262 1.4×	245 1.3×	77 0.6×	59 0.9×	19	611
Choongseong Han South Korea	10	154 0.5×	139 0.7×	140 0.8×	106 0.8×	33 0.5×	15	413
Junji Komori Japan	13	213 0.7×	587 3.1×	261 1.4×	153 1.1×	121 1.8×	26	835
Junxi Xiang China	16	148 0.5×	223 1.2×	119 0.7×	51 0.4×	112 1.6×	48	591
Masato Igarashi Japan	14	190 0.6×	89 0.5×	145 0.8×	67 0.5×	130 1.9×	38	587
Tomomi Tadokoro Japan	8	200 0.7×	164 0.9×	65 0.4×	82 0.6×	65 0.9×	14	509
Jessica Llewellyn United States	10	132 0.4×	167 0.9×	145 0.8×	71 0.5×	53 0.8×	17	515
Xuan Meng China	11	215 0.7×	132 0.7×	52 0.3×	46 0.3×	149 2.2×	32	509
Xiaolei Shi China	11	502 1.7×	129 0.7×	135 0.7×	52 0.4×	100 1.4×	14	802

Countries citing papers authored by Fang Yan

Since Specialization

Citations

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

Fields of papers citing papers by Fang Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Yan. A scholar is included among the top collaborators of Fang 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 Fang Yan. Fang Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shen, Yuting, Bing Xiong, Dekuang Zhao, et al.. (2025). Transdermal microneedle-assisted ultrasound-enhanced CRISPRa system to enable sono-gene therapy for obesity. Nature Communications. 16(1). 1499–1499. 12 indexed citations

Yan, Fang, Nan Chen, Bo Jiao, et al.. (2025). Ultrasound‐Assisted H ₂ Transmitter Enables Hydrogen‐Gene Therapy to Prevent Anesthesia/Surgery‐Induced Cognitive Impairment. Advanced Science. 12(17). e2414397–e2414397. 2 indexed citations

Zhang, Simeng, Y. P. Xu, Yuanyuan Chen, et al.. (2025). QSAR-based physiologically based pharmacokinetic (PBPK) modeling for 34 fentanyl analogs: model validation, human pharmacokinetic prediction and abuse risk insights. Frontiers in Pharmacology. 16. 1692293–1692293.

Yan, Fang, Douglas Barrows, Thomas S. Carroll, et al.. (2024). ATRX guards against aberrant differentiation in mesenchymal progenitor cells. Nucleic Acids Research. 52(9). 4950–4968. 3 indexed citations

Huang, Baojin, et al.. (2024). Adversarial intensity awareness for robust object detection. Computer Vision and Image Understanding. 251. 104252–104252.

Nacev, Benjamin A., Matthew R. Paul, Michelle M. Mitchener, et al.. (2024). Cancer-associated Histone H3 N-terminal arginine mutations disrupt PRC2 activity and impair differentiation. Nature Communications. 15(1). 5155–5155. 4 indexed citations

Yan, Fang, Liyun Xue, Yan Zhang, et al.. (2024). Nomogram based on liver stiffness and spleen area with ultrasound for posthepatectomy liver failure: A multicenter study. World Journal of Gastroenterology. 30(27). 3314–3325.

Jiao, Ao, et al.. (2024). Study on the impact of comprehensive geriatric assessment on anxiety and depression in chronic obstructive pulmonary disease patients. World Journal of Clinical Cases. 12(20). 4057–4064. 1 indexed citations

Yan, Fang, et al.. (2020). Promoting role of circ-Jarid2/miR-129-5p/Celf1 axis in cardiac hypertrophy. Gene Therapy. 28(12). 718–728. 6 indexed citations

10.

Wang, Shuyong, Xuan Wang, Yuxin Su, et al.. (2019). Human ESC-derived expandable hepatic organoids enable therapeutic liver repopulation and pathophysiological modeling of alcoholic liver injury. Cell Research. 29(12). 1009–1026. 166 indexed citations

11.

Liu, Juan, Shuyong Wang, Ming‐Yang Chang, et al.. (2019). Sweat gland organoids contribute to cutaneous wound healing and sweat gland regeneration. Cell Death and Disease. 10(3). 238–238. 67 indexed citations

12.

Liu, Juan, Ruihong Li, Rui Xue, et al.. (2018). Liver Extracellular Matrices Bioactivated Hepatic Spheroids as a Model System for Drug Hepatotoxicity Evaluations. Advanced Biosystems. 2(10). 23 indexed citations

13.

Yu, Chunxiao, Li Zhang, Dandan Luo, et al.. (2018). MicroRNA-146b-3p Promotes Cell Metastasis by Directly Targeting NF2 in Human Papillary Thyroid Cancer. Thyroid. 28(12). 1627–1641. 30 indexed citations

14.

Zhai, Chao, Huilin Li, Fang Yan, et al.. (2017). Connexin 32 and connexin 43 are involved in lineage restriction of hepatic progenitor cells to hepatocytes. Stem Cell Research & Therapy. 8(1). 252–252. 12 indexed citations

15.

Zhu, Peiyuan, et al.. (2016). Preliminary investigation and analysis of irregular antibodies of blood group before patients' transfusion. 29(3). 275. 1 indexed citations

16.

Chang, Ming‐Yang, Shuyong Wang, Zhenbo Liu, et al.. (2016). Connexin 32-mediated cell-cell communication is essential for hepatic differentiation from human embryonic stem cells. Scientific Reports. 6(1). 37388–37388. 32 indexed citations

17.

Yan, Fang, et al.. (2014). Involvement of RhoA/ROCK in insulin secretion of pancreatic β-cells in 3D culture. Cell and Tissue Research. 358(2). 359–369. 17 indexed citations

18.

Xi, Jiafei, Hong‐Hu Zhu, Daqing Liu, et al.. (2013). Infusion of Megakaryocytic Progenitor Products Generated from Cord Blood Hematopoietic Stem/Progenitor Cells: Results of the Phase 1 Study. PLoS ONE. 8(2). e54941–e54941. 27 indexed citations

19.

Li, Yanhua, Xiaoyan Xie, Lin Chen, et al.. (2005). Establishment of Wnt3a--transfected bone marrow stromal cells and study on expansion of human umbilical cord blood CD34~(+) hematopoietic stem/progenitor cells {\sl in vitro}. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 32(9). 835–841. 1 indexed citations

20.

Wang, Yunfang, Xue Nan, Yànhuá Lǐ, et al.. (2005). Induction of Umbilical Cord Blood–Derived β2m−c-Met+ Cells Into Hepatocyte-Like Cells by Coculture With CFSC/HGF Cells. Liver Transplantation. 11(6). 635–643. 20 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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