Ying Fan

464 total citations
28 papers, 330 citations indexed

About

Ying Fan is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Ying Fan has authored 28 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Genetics. Recurrent topics in Ying Fan's work include Muscle Physiology and Disorders (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Animal Nutrition and Physiology (3 papers). Ying Fan is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Animal Nutrition and Physiology (3 papers). Ying Fan collaborates with scholars based in China, Australia and United States. Ying Fan's co-authors include Manfred W. Beilharz, S.J. Wysocki, Minghao Zheng, Qiang Ji, Pengxiang Zhai, Dandan Ma, Dayong Zhang, Miranda D. Grounds, J. M. Papadimitriou and T. A. Robertson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Cardiovascular Research.

In The Last Decade

Ying Fan

28 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Fan China 9 142 43 39 38 36 28 330
Marianne Stef Spain 15 173 1.2× 464 10.8× 33 0.8× 81 2.1× 106 2.9× 25 665
Arne IJpma Netherlands 11 411 2.9× 68 1.6× 2 0.1× 74 1.9× 43 1.2× 22 674
Rebecca Rapoport United States 10 241 1.7× 21 0.5× 3 0.1× 10 0.3× 28 0.8× 12 418
Marcos Angelo Almeida Demasi Brazil 9 169 1.2× 25 0.6× 4 0.1× 12 0.3× 58 1.6× 18 301
Shu-Yi Ho Taiwan 4 728 5.1× 28 0.7× 3 0.1× 11 0.3× 31 0.9× 6 909
Elena Jamali Iran 11 356 2.5× 38 0.9× 4 0.1× 10 0.3× 43 1.2× 54 510
Daniel I. Jacobs United States 6 117 0.8× 13 0.3× 6 0.2× 5 0.1× 11 0.3× 8 226
Eddy N. de Boer Netherlands 8 213 1.5× 26 0.6× 2 0.1× 54 1.4× 202 5.6× 17 425
Hideki Takanari Japan 10 125 0.9× 46 1.1× 3 0.1× 4 0.1× 35 1.0× 29 327

Countries citing papers authored by Ying Fan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Fan. A scholar is included among the top collaborators of Ying 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 Ying Fan. Ying 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.
Ji, Qiang, Dandan Ma, Pengxiang Zhai, Ying Fan, & Dayong Zhang. (2024). Global climate policy uncertainty and financial markets. Journal of International Financial Markets Institutions and Money. 95. 102047–102047. 41 indexed citations
2.
Yang, Jianbo, Ying Fan, Rui Jin, et al.. (2024). Exploring the Intestinal Microbial Community of Lantang Pigs through Metagenome-Assembled Genomes and Carbohydrate Degradation Genes. Fermentation. 10(4). 207–207. 8 indexed citations
3.
Tang, Xinxin, Ying Fan, Dawei Liu, et al.. (2024). Metabolomic analysis reveals the molecular mechanism related to leg abnormality in broilers. SHILAP Revista de lepidopterología. 3(4). 368–378. 4 indexed citations
4.
Wu, Tian, Yalan Zhang, Jia Liu, et al.. (2024). Integrative analysis of the ovarian metabolome and transcriptome of the Yaoshan chicken and its improved hybrids. Frontiers in Genetics. 15. 1416283–1416283. 2 indexed citations
5.
6.
Zhang, Xinyu, Bo Li, Xinyu Zhu, et al.. (2023). Association of BMI and waist circumference with diabetic microvascular complications: A prospective cohort study from the UK Biobank and Mendelian randomization analysis. Diabetes Research and Clinical Practice. 205. 110975–110975. 11 indexed citations
7.
Zhang, Qi, Jin Zhang, Qiao Wang, et al.. (2023). Gene expression response to Salmonella Typhimurium in the cecal tonsil reveals a potential mechanism of resistance in chickens. Poultry Science. 103(3). 103356–103356. 3 indexed citations
8.
Wei, Can, et al.. (2022). Spermine Regulates Immune and Signal Transduction Dysfunction in Diabetic Cardiomyopathy. Frontiers in Endocrinology. 12. 740493–740493. 4 indexed citations
9.
Wei, Can, Tao Song, Hui Yuan, et al.. (2022). Transcriptomics Coupled to Proteomics Reveals Novel Targets for the Protective Role of Spermine in Diabetic Cardiomyopathy. Oxidative Medicine and Cellular Longevity. 2022(1). 5909378–5909378. 7 indexed citations
10.
Karayel, Özge, Francesca Tonelli, Sebastian Virreira Winter, et al.. (2020). Accurate MS-based Rab10 Phosphorylation Stoichiometry Determination as Readout for LRRK2 Activity in Parkinson's Disease. Molecular & Cellular Proteomics. 19(9). 1546–1560. 37 indexed citations
11.
Liu, Youbin, et al.. (2020). Combination of LCZ696 and ACEI further improves heart failure and myocardial fibrosis after acute myocardial infarction in mice. Biomedicine & Pharmacotherapy. 133. 110824–110824. 19 indexed citations
12.
Li, Jun, et al.. (2017). Dehydrobruceine C, A New Quassinoid from the Seeds of Brucea javanica. Letters in Organic Chemistry. 14(5). 3 indexed citations
13.
Potter, Kathryn J., Susan Creighton, Linlea Armstrong, et al.. (2013). The c.7409G>A (p.Cys2470Tyr) Variant of <b><i>FBN1</i></b>: Phenotypic Variability across Three Generations. Molecular Syndromology. 4(3). 125–135. 6 indexed citations
14.
Fan, Ying, et al.. (2010). [The effect of carvedilol on coronary flow reserve in patients with dilated cardiomyopathy].. PubMed. 49(3). 217–9. 6 indexed citations
15.
Yu, S., Deborah Barbouth, P.J. Benke, Peter E. Warburton, & Ying Fan. (2007). Characterization of a neocentric supernumerary marker chromosome originating from the Xp distal region by FISH, CENP-C staining, and array CGH. Cytogenetic and Genome Research. 116(1-2). 141–145. 6 indexed citations
16.
Fan, Ying, Chen Xue, & Li Zhu. (2006). Mapping the Rice Bacterial Blight Resistance Gene Xa23 with RFLP Markers and Converting RFLP to STS Marker. ACTA AGRONOMICA SINICA. 8 indexed citations
17.
Fan, Ying. (2003). VaR Based Evaluation Method for Impawn Rate of Stock for Combination. 1 indexed citations
18.
Fan, Ying. (2001). EWMA Method for Estimating VaR of Stock Market and its Application. 2 indexed citations
19.
Fan, Ying. (2000). VaR Methodology and Its Application in Stock Market Risk Analysis. Zhongguo guanli kexue. 3 indexed citations
20.
Fan, Ying, Miranda D. Grounds, M.J. Garlepp, & Manfred W. Beilharz. (1997). Increased survival, movement and fusion of myoblasts from sliced muscle grafts into skeletal muscle of T-cell depleted and tolerised host mice. UWA Profiles and Research Repository (University of Western Australia). 7. 231–240. 8 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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