Weiwei Fu

1.8k total citations
25 papers, 573 citations indexed

About

Weiwei Fu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Weiwei Fu has authored 25 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Weiwei Fu's work include Genetic and phenotypic traits in livestock (9 papers), Cancer-related molecular mechanisms research (7 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Weiwei Fu is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Cancer-related molecular mechanisms research (7 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Weiwei Fu collaborates with scholars based in China, Estonia and Canada. Weiwei Fu's co-authors include Yu Jiang, Yudong Cai, Zhuqing Zheng, Xihong Wang, Ting Chen, Chao Li, Li‐Shang Dai, Baojian Zhu, Rui Wang and Qiu‐Ning Liu and has published in prestigious journals such as Nucleic Acids Research, Gene and Frontiers in Plant Science.

In The Last Decade

Weiwei Fu

24 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiwei Fu China 14 312 265 139 104 71 25 573
Aurore Thélie France 15 609 2.0× 302 1.1× 40 0.3× 75 0.7× 37 0.5× 25 1.0k
Junjie Shi China 11 571 1.8× 412 1.6× 92 0.7× 653 6.3× 28 0.4× 25 1.2k
Gen Hiyama Japan 14 142 0.5× 183 0.7× 41 0.3× 19 0.2× 36 0.5× 31 566
Minja Zorc Slovenia 13 305 1.0× 229 0.9× 278 2.0× 32 0.3× 160 2.3× 37 615
Belinda J. Norris Australia 8 197 0.6× 179 0.7× 65 0.5× 65 0.6× 10 0.1× 11 486
Steven M. Kappes United States 11 261 0.8× 532 2.0× 77 0.6× 169 1.6× 6 0.1× 13 671
Aurélie Le Cam France 17 257 0.8× 219 0.8× 149 1.1× 19 0.2× 21 0.3× 29 743
Douglas D. Luche Brazil 9 323 1.0× 81 0.3× 53 0.4× 215 2.1× 58 0.8× 10 530
Jiantao Guan China 16 340 1.1× 216 0.8× 26 0.2× 513 4.9× 18 0.3× 42 822
Nathalie J. van Orsouw United States 16 799 2.6× 329 1.2× 160 1.2× 313 3.0× 12 0.2× 22 1.1k

Countries citing papers authored by Weiwei Fu

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Fu. A scholar is included among the top collaborators of Weiwei 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 Weiwei Fu. Weiwei 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.
Li, Fadi, et al.. (2024). Association of the LPL gene polymorphisms with fatty acid composition in the longissimus dorsi muscle of Hu sheep. Small Ruminant Research. 237. 107319–107319. 2 indexed citations
2.
Fu, Weiwei, et al.. (2024). Genomic insights into the genetic diversity, lateral gaits and high-altitude adaptation of Chakouyi (CKY) horses. Journal of genetics and genomics. 52(8). 1001–1010. 1 indexed citations
3.
Li, Fadi, et al.. (2024). SNPS within the SLC27A6 gene are highly associated with Hu sheep fatty acid content. Gene. 927. 148716–148716.
4.
Guo, Jinggong, Yujie Wang, Xiaomeng Han, et al.. (2022). Carotenoid-derived bioactive metabolites shape plant root architecture to adapt to the rhizospheric environments. Frontiers in Plant Science. 13. 986414–986414. 15 indexed citations
5.
Nanaei, Hojjat Asadollahpour, Yudong Cai, Jiayue Wen, et al.. (2022). Genomic analysis of indigenous goats in Southwest Asia reveals evidence of ancient adaptive introgression related to desert climate. 动物学研究. 44(1). 20–29. 9 indexed citations
6.
Fu, Weiwei, Rui Wang, Naiyi Xu, et al.. (2022). Galbase: a comprehensive repository for integrating chicken multi-omics data. BMC Genomics. 23(1). 364–364. 12 indexed citations
7.
Fu, Weiwei, Rui Wang, Jiantao Yu, et al.. (2021). GGVD: A goat genome variation database for tracking the dynamic evolutionary process of selective signatures and ancient introgressions. Journal of genetics and genomics. 48(3). 248–256. 18 indexed citations
8.
Zhang, Shulin, Yutao Guo, Yanqi Zhang, et al.. (2021). Genome-wide identification, characterization and expression profiles of the CCD gene family in Gossypium species. 3 Biotech. 11(5). 249–249. 19 indexed citations
9.
Chen, Ningbo, Weiwei Fu, Jiafei Shen, et al.. (2020). BGVD: An Integrated Database for Bovine Sequencing Variations and Selective Signatures. Genomics Proteomics & Bioinformatics. 18(2). 186–193. 52 indexed citations
10.
Szmatoła, Tomasz, Artur Gurgul, Igor Jasielczuk, Weiwei Fu, & Katarzyna Ropka‐Molik. (2020). A detailed characteristics of bias associated with long runs of homozygosity identification based on medium density SNP microarrays. PubMed. 8. 43–48. 4 indexed citations
11.
Fu, Weiwei, Rui Wang, Hong Cheng, et al.. (2020). WGVD: an integrated web-database for wheat genome variation and selective signatures. Database. 2020. 7 indexed citations
12.
Li, Ran, Weiwei Fu, Rui Su, et al.. (2019). Towards the Complete Goat Pan-Genome by Recovering Missing Genomic Segments From the Reference Genome. Frontiers in Genetics. 10. 1169–1169. 33 indexed citations
13.
Li, Ran, Weiwei Fu, Yán Li, et al.. (2019). Building a sequence map of the pig pan-genome from multiple de novo assemblies and Hi-C data. Science China Life Sciences. 63(5). 750–763. 53 indexed citations
14.
Fu, Weiwei, Guoqing Wei, Lei Wang, et al.. (2015). IDENTIFICATION AND EXPRESSION ANALYSIS OF VITELLOGENIN RECEPTOR FROM THE WILD SILKWORM, Bombyx mandarina. Archives of Insect Biochemistry and Physiology. 89(4). 181–192. 13 indexed citations
15.
Chen, Ningbo, Yun Ma, Feng Lin, et al.. (2015). Tissue expression and predicted protein structures of the bovine ANGPTL3 and association of novel SNPs with growth and meat quality traits. animal. 9(8). 1285–1297. 15 indexed citations
16.
Ma, Yun, Ningbo Chen, Fen Li, et al.. (2015). Bovine HSD17B8 gene and its relationship with growth and meat quality traits. Science Bulletin. 60(18). 1617–1621. 10 indexed citations
17.
Liu, Qiu‐Ning, Baojian Zhu, Lei Wang, et al.. (2013). Identification of immune response-related genes in the Chinese oak silkworm, Antheraea pernyi by suppression subtractive hybridization. Journal of Invertebrate Pathology. 114(3). 313–323. 32 indexed citations
18.
Fu, Weiwei, Dapeng Zhao, Xiaoguang Qi, et al.. (2013). Free-ranging Sichuan snub-nosed monkeys Rhinopithecus roxellana: Neophobia, neophilia, or both?. Current Zoology. 59(3). 311–316. 7 indexed citations
19.
Liu, Qiu‐Ning, et al.. (2013). Overexpression of small heat shock protein 21 protects the Chinese oak silkworm Antheraea pernyi against thermal stress. Journal of Insect Physiology. 59(8). 848–854. 43 indexed citations
20.
Jiang, Hongping, et al.. (2011). [Structure-activity relationship of diosgenin derivatives as Bcl-2 antagonists].. PubMed. 46(5). 539–47. 3 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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