Jing‐Yu Fan

12.2k total citations · 1 hit paper
128 papers, 8.2k citations indexed

About

Jing‐Yu Fan is a scholar working on Molecular Biology, Complementary and alternative medicine and Neurology. According to data from OpenAlex, Jing‐Yu Fan has authored 128 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 40 papers in Complementary and alternative medicine and 27 papers in Neurology. Recurrent topics in Jing‐Yu Fan's work include Traditional Chinese Medicine Analysis (35 papers), Barrier Structure and Function Studies (18 papers) and Cardiac Ischemia and Reperfusion (17 papers). Jing‐Yu Fan is often cited by papers focused on Traditional Chinese Medicine Analysis (35 papers), Barrier Structure and Function Studies (18 papers) and Cardiac Ischemia and Reperfusion (17 papers). Jing‐Yu Fan collaborates with scholars based in China, United States and Switzerland. Jing‐Yu Fan's co-authors include X. Shirley Liu, Binbin Wang, Jun S. Liu, Bo Li, Taiwen Li, Nicole Traugh, Qianming Chen, Jing‐Yan Han, Kai Sun and Yuying Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jing‐Yu Fan

128 papers receiving 8.2k citations

Hit Papers

TIMER: A Web Server for C... 2017 2026 2020 2023 2017 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing‐Yu Fan China 38 4.5k 2.7k 1.9k 1.7k 1.5k 128 8.2k
Thomas Fleming Germany 34 3.1k 0.7× 1.7k 0.6× 2.1k 1.1× 6.5k 3.8× 816 0.6× 110 11.9k
Hans‐Peter Hammes Germany 44 4.6k 1.0× 473 0.2× 855 0.5× 582 0.3× 706 0.5× 179 11.7k
Matteo Santoni Italy 51 3.2k 0.7× 3.6k 1.3× 2.0k 1.1× 3.3k 1.9× 971 0.7× 357 8.8k
Dejuan Kong United States 50 6.2k 1.4× 771 0.3× 3.6k 1.9× 3.1k 1.8× 546 0.4× 100 9.0k
Shan Zhu China 34 2.9k 0.7× 1.1k 0.4× 1.3k 0.7× 846 0.5× 1.2k 0.8× 89 5.3k
Junping Zhang China 45 3.0k 0.7× 271 0.1× 1.2k 0.6× 504 0.3× 679 0.5× 229 5.5k
Li Kong China 37 1.4k 0.3× 967 0.4× 372 0.2× 1.8k 1.0× 757 0.5× 178 4.9k
Hiroshi Iwao Japan 48 3.7k 0.8× 545 0.2× 740 0.4× 619 0.4× 917 0.6× 249 8.2k
Karin Bornfeldt United States 53 5.2k 1.1× 714 0.3× 1.3k 0.7× 607 0.4× 2.3k 1.5× 151 11.1k
Ivan S. Yuhanna United States 38 2.8k 0.6× 832 0.3× 1.1k 0.6× 618 0.4× 1.2k 0.8× 55 8.9k

Countries citing papers authored by Jing‐Yu Fan

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Yu Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing‐Yu Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Yu Fan. A scholar is included among the top collaborators of Jing‐Yu 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 Jing‐Yu Fan. Jing‐Yu 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.
Vijay, Godhev K. Manakkat, Ming Zhou, Amanpreet Singh Chawla, et al.. (2024). Temporal dynamics and genomic programming of plasma cell fates. Nature Immunology. 25(6). 1097–1109. 8 indexed citations
2.
Liu, Zhizhong, et al.. (2023). Silencing of LINC00467 inhibits cell proliferation in testicular germ cell tumors cells. SHILAP Revista de lepidopterología. 23(5). 802–814. 3 indexed citations
3.
Zhang, Yi, Guanjue Xiang, Zexian Zeng, et al.. (2023). MetaTiME integrates single-cell gene expression to characterize the meta-components of the tumor immune microenvironment. Nature Communications. 14(1). 2634–2634. 11 indexed citations
4.
Yan, Lulu, Xiao‐Hong Wei, Chun‐Shui Pan, et al.. (2022). Cardiotonic Pills® protects from myocardial fibrosis caused by in stent restenosis in miniature pigs. Phytomedicine. 106. 154405–154405. 4 indexed citations
5.
Fan, Jing‐Yu, et al.. (2022). Recent development of hydrogen sulfide-releasing biomaterials as novel therapies: a narrative review.. PubMed. 3(4). 250–263. 9 indexed citations
7.
Qin, Qian, Jing‐Yu Fan, Rongbin Zheng, et al.. (2020). Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data. Genome biology. 21(1). 168 indexed citations
8.
Hu, Xihao, Jian Zhang, Jin Wang, et al.. (2019). Landscape of B cell immunity and related immune evasion in human cancers. Nature Genetics. 51(3). 560–567. 104 indexed citations
9.
Li, Lin, Chun‐Shui Pan, Li Yan, et al.. (2018). Ginsenoside Rg1 Ameliorates Rat Myocardial Ischemia-Reperfusion Injury by Modulating Energy Metabolism Pathways. Frontiers in Physiology. 9. 78–78. 64 indexed citations
10.
Sun, Kai, Rong Huang, Li Yan, et al.. (2018). Schisandrin Attenuates Lipopolysaccharide-Induced Lung Injury by Regulating TLR-4 and Akt/FoxO1 Signaling Pathways. Frontiers in Physiology. 9. 1104–1104. 46 indexed citations
11.
Mei, Shenglin, Clifford A. Meyer, Rongbin Zheng, et al.. (2017). Cistrome Cancer: A Web Resource for Integrative Gene Regulation Modeling in Cancer. Cancer Research. 77(21). e19–e22. 106 indexed citations
12.
Li, Taiwen, Jing‐Yu Fan, Binbin Wang, et al.. (2017). TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells. Cancer Research. 77(21). e108–e110. 4148 indexed citations breakdown →
13.
Wang, Su, Chongzhi Zang, Tengfei Xiao, et al.. (2016). Modeling cis-regulation with a compendium of genome-wide histone H3K27ac profiles. Genome Research. 26(10). 1417–1429. 60 indexed citations
14.
Pan, Chun‐Shui, Yinghua Liu, Yuying Liu, et al.. (2015). Salvianolic Acid B Ameliorates Lipopolysaccharide-Induced Albumin Leakage from Rat Mesenteric Venules through Src-Regulated Transcelluar Pathway and Paracellular Pathway. PLoS ONE. 10(5). e0126640–e0126640. 18 indexed citations
16.
Liu, Yuying, Bo Xu, Kai Sun, et al.. (2013). Salvianolic Acid B Protects From Pulmonary Microcirculation Disturbance Induced by Lipopolysaccharide in Rat. Shock. 39(3). 317–325. 22 indexed citations
17.
Li, Yanchuan, Yuying Liu, Bai‐He Hu, et al.. (2012). Attenuating effect of post-treatment with QiShen YiQi Pills on myocardial fibrosis in rat cardiac hypertrophy. Clinical Hemorheology and Microcirculation. 51(3). 177–191. 30 indexed citations
18.
Zuber, Christian, Jing‐Yu Fan, Bruno Guhl, & Jürgen Roth. (2004). Misfolded proinsulin accumulates in expanded pre‐Golgi intermediates and endoplasmic reticulum subdomains in pancreatic beta cells of Akita mice. The FASEB Journal. 18(7). 917–919. 62 indexed citations
19.
Fan, Jing‐Yu, J Roth, & Christian Zuber. (2003). Ultrastructural analysis of transitional endoplasmic reticulum and pre-Golgi intermediates: a highway for cars and trucks. Histochemistry and Cell Biology. 120(6). 455–463. 23 indexed citations
20.
Li, Xiaoxin, et al.. (2002). [The effect of platelet-derived growth factor on the formation of proliferative vitreoretinopathy].. PubMed. 38(3). 144–7. 4 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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