Yan Fu

1.1k total citations
28 papers, 567 citations indexed

About

Yan Fu is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Yan Fu has authored 28 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Yan Fu's work include Immune Response and Inflammation (4 papers), Helminth infection and control (4 papers) and Coccidia and coccidiosis research (3 papers). Yan Fu is often cited by papers focused on Immune Response and Inflammation (4 papers), Helminth infection and control (4 papers) and Coccidia and coccidiosis research (3 papers). Yan Fu collaborates with scholars based in China, United States and Germany. Yan Fu's co-authors include Rene E. Harrison, Grace Mulcahy, Andréas Lazaros Chryssafidis, Meral Tunc‐Ozdemir, Alan M. Jones, Jianhua Xing, Daisuke Urano, John A. Browne, Trevor Glaros and Liwu Li and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yan Fu

28 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Fu China 12 154 140 120 87 77 28 567
Vanessa Pocacqua Italy 10 147 1.0× 64 0.5× 107 0.9× 58 0.7× 23 0.3× 12 614
Alexander C. Drew Australia 19 158 1.0× 203 1.4× 111 0.9× 250 2.9× 99 1.3× 25 1.2k
Kristen N. Kindrachuk United States 6 245 1.6× 283 2.0× 49 0.4× 122 1.4× 19 0.2× 7 803
F.‐J. Kaup Germany 14 186 1.2× 131 0.9× 46 0.4× 41 0.5× 21 0.3× 46 731
Martha Cordova Canada 14 222 1.4× 29 0.2× 107 0.9× 90 1.0× 16 0.2× 21 605
Andrew Stent Australia 11 102 0.7× 143 1.0× 51 0.4× 34 0.4× 12 0.2× 48 455
Lucy A. Gildea United States 11 147 1.0× 402 2.9× 128 1.1× 194 2.2× 25 0.3× 15 937
Daniel Sorobetea United States 6 249 1.6× 172 1.2× 69 0.6× 139 1.6× 11 0.1× 11 541
Cecilia Casaravilla Uruguay 18 147 1.0× 102 0.7× 45 0.4× 474 5.4× 25 0.3× 31 818
Katsuya KITOH Japan 17 142 0.9× 65 0.5× 73 0.6× 323 3.7× 18 0.2× 74 806

Countries citing papers authored by Yan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Fu. A scholar is included among the top collaborators of Yan Fu 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 Yan Fu. Yan Fu 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.
Fu, Yan, Siyuan Wang, Yuhao Wu, et al.. (2024). 2,2′,4,4′-Tetrabromodiphenyl ether exposure disrupts blood-testis barrier integrity through CMA-mediated ferroptosis. The Science of The Total Environment. 948. 174738–174738. 8 indexed citations
2.
Fu, Yan, Tobias Franz, Juliane Mohr, et al.. (2023). Leishmania major drives host phagocyte death and cell-to-cell transfer depending on intracellular pathogen proliferation rate. JCI Insight. 8(14). 8 indexed citations
3.
Fu, Yan, Johanna Kotrba, Tobias Franz, et al.. (2022). Ionic mitigation of CD4+ T cell metabolic fitness, Th1 central nervous system autoimmunity and Th2 asthmatic airway inflammation by therapeutic zinc. Scientific Reports. 12(1). 1943–1943. 7 indexed citations
4.
5.
Fu, Yan & Rene E. Harrison. (2021). Microbial Phagocytic Receptors and Their Potential Involvement in Cytokine Induction in Macrophages. Frontiers in Immunology. 12. 662063–662063. 60 indexed citations
6.
Brandt, Sabine, Tobias M. Ballhause, Delia Lidia Șalaru, et al.. (2020). Fibrosis and Immune Cell Infiltration Are Separate Events Regulated by Cell-Specific Receptor Notch3 Expression. Journal of the American Society of Nephrology. 31(11). 2589–2608. 22 indexed citations
7.
Lee, Seung Hwan, Yan Fu, Won‐Young Kim, et al.. (2020). Del-1, an Endogenous Inhibitor of TGF-β Activation, Attenuates Fibrosis. Frontiers in Immunology. 11. 68–68. 19 indexed citations
8.
Kim, Won‐Young, Seung‐Hwan Lee, Gyu Rak Chon, et al.. (2019). Serum developmental endothelial locus-1 is associated with severity of sepsis in animals and humans. Scientific Reports. 9(1). 13005–13005. 9 indexed citations
9.
Philipsen, Lars, Pauline Formaglio, Yan Fu, et al.. (2018). CD11c-expressing Ly6C+CCR2+ monocytes constitute a reservoir for efficient Leishmania proliferation and cell-to-cell transmission. PLoS Pathogens. 14(10). e1007374–e1007374. 47 indexed citations
10.
Fu, Yan, Jiaywei Tsauo, Yucheng Sun, et al.. (2018). Developmental endothelial locus-1 prevents development of peritoneal adhesions in mice. Biochemical and Biophysical Research Communications. 500(3). 783–789. 9 indexed citations
11.
Chen, Peng, Bin Su, Tong Zhang, et al.. (2017). Perturbations of Monocyte Subsets and Their Association with T Helper Cell Differentiation in Acute and Chronic HIV-1-Infected Patients. Frontiers in Immunology. 8. 272–272. 45 indexed citations
12.
Jordan, Ingo, Verena Lohr, Zoltán Pénzes, et al.. (2016). Continuous cell lines from the Muscovy duck as potential replacement for primary cells in the production of avian vaccines. Avian Pathology. 45(2). 137–155. 9 indexed citations
13.
Fu, Yan, et al.. (2016). Transcriptomic Study on Ovine Immune Responses to Fasciola hepatica Infection. PLoS neglected tropical diseases. 10(9). e0005015–e0005015. 42 indexed citations
14.
Tunc‐Ozdemir, Meral, Yan Fu, & Alan M. Jones. (2015). Cautions in Measuring In Vivo Interactions Using FRET and BiFC in Nicotiana benthamiana. Methods in molecular biology. 1363. 155–174. 9 indexed citations
15.
Fu, Yan, Sungmin Lim, Daisuke Urano, et al.. (2014). Reciprocal Encoding of Signal Intensity and Duration in a Glucose-Sensing Circuit. Cell. 156(5). 1084–1095. 69 indexed citations
16.
Zintl, Annetta, Alan Trudgett, Andréas Lazaros Chryssafidis, et al.. (2014). Bovine paramphistomes in Ireland. Veterinary Parasitology. 204(3-4). 199–208. 57 indexed citations
17.
Fu, Yan, Trevor Glaros, Meng Zhu, et al.. (2012). Network Topologies and Dynamics Leading to Endotoxin Tolerance and Priming in Innate Immune Cells. Biophysical Journal. 102(3). 730a–730a. 1 indexed citations
18.
Fu, Yan, Xiaoshan Jiang, Hang Zhang, & Jianhua Xing. (2012). A strategy to study pathway cross-talks of cells under repetitive exposure to stimuli. BMC Systems Biology. 6(S3). S6–S6. 6 indexed citations
19.
Glaros, Trevor, Yan Fu, Jianhua Xing, & Liwu Li. (2012). Molecular Mechanism Underlying Persistent Induction of LCN2 by Lipopolysaccharide in Kidney Fibroblasts. PLoS ONE. 7(4). e34633–e34633. 18 indexed citations
20.
Fu, Yan, Trevor Glaros, Meng Zhu, et al.. (2012). Network Topologies and Dynamics Leading to Endotoxin Tolerance and Priming in Innate Immune Cells. PLoS Computational Biology. 8(5). e1002526–e1002526. 46 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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