Yan Fu

8.4k total citations
70 papers, 2.9k citations indexed

About

Yan Fu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Yan Fu has authored 70 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 27 papers in Plant Science and 16 papers in Genetics. Recurrent topics in Yan Fu's work include Chromosomal and Genetic Variations (11 papers), Genomics and Phylogenetic Studies (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Yan Fu is often cited by papers focused on Chromosomal and Genetic Variations (11 papers), Genomics and Phylogenetic Studies (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Yan Fu collaborates with scholars based in China, United States and Germany. Yan Fu's co-authors include W. Brad Barbazuk, Karen McGinnis, Patrick S. Schnable, Dan Nettleton, Rajeev Arora, Cheng‐Ting Yeh, Kai Ying, Tieming Ji, Oliver Yu and Jian‐Kang Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Nano and Bioinformatics.

In The Last Decade

Yan Fu

70 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yan Fu China	27	1.7k	1.4k	553	133	126	70	2.9k
Yuanyuan Zhang China	26	1.1k 0.7×	920 0.6×	322 0.6×	60 0.5×	69 0.5×	123	2.1k
Peng Gao China	24	832 0.5×	787 0.5×	307 0.6×	134 1.0×	101 0.8×	128	2.2k
Zhao China	20	805 0.5×	1.2k 0.8×	246 0.4×	115 0.9×	45 0.4×	456	2.4k
Qing Chen China	32	2.1k 1.3×	2.1k 1.5×	222 0.4×	282 2.1×	81 0.6×	259	3.8k
Xu Liu China	35	2.2k 1.3×	1.7k 1.2×	186 0.3×	95 0.7×	34 0.3×	109	3.2k
Ying Li China	38	3.0k 1.8×	2.6k 1.8×	274 0.5×	161 1.2×	58 0.5×	223	4.6k
Xue Wang China	22	1.2k 0.7×	886 0.6×	137 0.2×	276 2.1×	104 0.8×	147	2.3k

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

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20 of 20 papers shown

Fu, Yan, et al.. (2025). Biochar mitigates greenhouse gas emissions from bulk soil in wheat-corn rotation system by inhibiting biochemical decomposition. Agriculture Ecosystems & Environment. 386. 109600–109600. 8 indexed citations

He, Jiachen, Jian Wu, Y. C. Yu, et al.. (2025). Polyphenol-Mediated Electroactive Hydrogel with Armored Exosomes Delivery for Bone Regeneration. ACS Nano. 19(18). 17796–17812. 5 indexed citations

Fu, Yan, Xinyuan Zhang, Tong Wang, et al.. (2023). Transcriptome and Metabolome Integration Reveals the Impact of Fungal Elicitors on Triterpene Accumulation in Sanghuangporus sanghuang. Journal of Fungi. 9(6). 604–604. 5 indexed citations

Fu, Yan, et al.. (2021). Dissipation, occurrence, and risk assessment of 12 pesticides in Dendrobium officinale Kimura et Migo. Ecotoxicology and Environmental Safety. 222. 112487–112487. 26 indexed citations

Xu, Feng, Jia‐Yong Yu, Quansheng Wang, et al.. (2019). Simultaneous determination of 25 pesticides in Zizania latifolia by dispersive solid-phase extraction and liquid chromatography-tandem mass spectrometry. Scientific Reports. 9(1). 10031–10031. 10 indexed citations

Wu, Bingbing, Ruili Qi, Jun He, et al.. (2012). Effect of immunization with a recombinant cholera toxin B subunit/somatostatin fusion protein on immune response and growth hormone levels in mice. Biotechnology Letters. 34(12). 2199–2203. 4 indexed citations

He, Jun, Yong Tian, Jinjun Li, et al.. (2012). Expression pattern of L-FABP gene in different tissues and its regulation of fat metabolism-related genes in duck. Molecular Biology Reports. 40(1). 189–195. 16 indexed citations

He, Jun, Lizhi Lu, Yong Tian, et al.. (2011). SHORT COMMUNICATION: Analysis of intramuscular fat and fatty acids of different duck breeds and their association with SNPs of duck A-FABP gene. Canadian Journal of Animal Science. 91(4). 593–596. 4 indexed citations

Lu, Lizhi, Fang Wang, Xiaohong Chen, et al.. (2011). cDNA cloning, expression and regulation analysis of goose adipose triglyceride lipase (ATGL) gene. Canadian Journal of Animal Science. 91(3). 363–369. 2 indexed citations

10.

Wang, Fang, Lizhi Lu, Hao Yuan, et al.. (2011). cDNA cloning, characterization and expression analysis of toll-like receptor 4 gene in goose. Canadian Journal of Animal Science. 91(3). 371–377. 4 indexed citations

11.

Fu, Yan. (2009). A Study on the Selective Dissolution Behavior of Duplex Stainless Steel in Systems Containing Nitric Acid. Zhongguo fushi yu fanghu xuebao. 24(5). 272–275. 1 indexed citations

12.

Liu, Sanzhen, Cheng‐Ting Yeh, Tieming Ji, et al.. (2009). Mu Transposon Insertion Sites and Meiotic Recombination Events Co-Localize with Epigenetic Marks for Open Chromatin across the Maize Genome. PLoS Genetics. 5(11). e1000733–e1000733. 161 indexed citations

13.

Springer, Nathan M., Kai Ying, Yan Fu, et al.. (2009). Maize Inbreds Exhibit High Levels of Copy Number Variation (CNV) and Presence/Absence Variation (PAV) in Genome Content. PLoS Genetics. 5(11). e1000734–e1000734. 378 indexed citations

14.

Fu, Yan, Oliver Bannach, Hao Chen, et al.. (2009). Alternative splicing of anciently exonized 5S rRNA regulates plant transcription factor TFIIIA. Genome Research. 19(5). 913–921. 33 indexed citations

15.

Barbazuk, W. Brad, Yan Fu, & Karen McGinnis. (2008). Genome-wide analyses of alternative splicing in plants: Opportunities and challenges. Genome Research. 18(9). 1381–1392. 294 indexed citations

16.

Tian, Yong, Yan Fu, Zhengrong Tao, et al.. (2007). Assignment of CCR7 gene to chicken chromosome 27 by radiation hybrid panel mapping. Journal of Zhejiang University SCIENCE B. 8(5). 314–317. 4 indexed citations

17.

Xiao, Chao‐Ting, et al.. (2006). Analysis of polymorphism, structure and function of exon 2 of ovine melatonin receptor 1b gene: a clue as to why it lacks expression in sheep. Journal of Pineal Research. 42(1). 97–104. 11 indexed citations

18.

Fu, Yan, Changjian Lin, & Wen-Ta Tsai. (2005). A study of the selective dissolution behavior of duplex stainless steel by micro-electrochemical technique. Acta Metallurgica Sinica. 41(3). 302–306. 11 indexed citations

19.

Hui, Wei, Yan Fu, & Rajeev Arora. (2005). Intron-flanking EST–PCR markers: from genetic marker development to gene structure analysis in Rhododendron. Theoretical and Applied Genetics. 111(7). 1347–1356. 61 indexed citations

20.

Emrich, Scott, Srinivas Aluru, Yan Fu, et al.. (2004). A strategy for assembling the maize (Zea mays L.) genome. Bioinformatics. 20(2). 140–147. 36 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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