Jun Fu

801 total citations
24 papers, 496 citations indexed

About

Jun Fu is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Jun Fu has authored 24 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 13 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in Jun Fu's work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Molecular Biology Techniques and Applications (4 papers) and Forensic and Genetic Research (4 papers). Jun Fu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (6 papers), Molecular Biology Techniques and Applications (4 papers) and Forensic and Genetic Research (4 papers). Jun Fu collaborates with scholars based in China, United States and Tunisia. Jun Fu's co-authors include Robert W. Allen, Yu Yang, Jianhua Wei, Quan Jiang, Jianbo Zhao, Hua Xie, Fei Ren, Jiantao Guan, Yuanzhu Yang and Hongwei Zhao and has published in prestigious journals such as Nature Communications, Scientific Reports and Genome biology.

In The Last Decade

Jun Fu

21 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Fu China	12	325	242	156	34	33	24	496
Zeyu Xin China	18	628 1.9×	290 1.2×	62 0.4×	41 1.2×	25 0.8×	24	771
B. N. Devanna India	15	775 2.4×	294 1.2×	141 0.9×	22 0.6×	93 2.8×	38	851
Christof Pietsch Germany	7	387 1.2×	142 0.6×	127 0.8×	37 1.1×	15 0.5×	8	475
Qi Guo China	13	373 1.1×	253 1.0×	121 0.8×	38 1.1×	13 0.4×	43	506
Lenka Havlíčková United Kingdom	12	338 1.0×	209 0.9×	61 0.4×	23 0.7×	23 0.7×	21	448
Baoxing Song China	16	333 1.0×	304 1.3×	106 0.7×	10 0.3×	14 0.4×	32	543
Guixin Yan China	16	589 1.8×	494 2.0×	146 0.9×	26 0.8×	8 0.2×	35	830
Lee Panella United States	15	585 1.8×	175 0.7×	116 0.7×	40 1.2×	75 2.3×	30	690
Dominique Mingeot Belgium	15	595 1.8×	147 0.6×	182 1.2×	47 1.4×	28 0.8×	37	702
Rashid Mehmood Rana Pakistan	15	415 1.3×	93 0.4×	59 0.4×	79 2.3×	27 0.8×	39	484

Countries citing papers authored by Jun Fu

Since Specialization

Citations

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

Fields of papers citing papers by Jun Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Fu. A scholar is included among the top collaborators of Jun 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 Jun Fu. Jun 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

Qin, Peng, Xiaochun Hu, Nan Jiang, et al.. (2025). Enhancing the blast resistance of an elite thermo-sensitive genic male sterile line (TGMS) Longke638S and its derived hybrid varieties by incorporating Pigm gene. Molecular Breeding. 45(4). 35–35. 1 indexed citations

Fu, Jun, et al.. (2024). An exploratory view into allelic drop‐out of sequenced autosomal STRs. Journal of Forensic Sciences. 69(3). 825–835.

Li, Dongxu, Jun Fu, Peng Qin, et al.. (2024). Exploration of quality variation and stability of hybrid rice under multi-environments. Molecular Breeding. 44(1). 4–4. 4 indexed citations

Fu, Jun, Kai Wang, Xue Han, et al.. (2022). The telomere‐to‐telomere gap‐free genome of four rice parents reveals SV and PAV patterns in hybrid rice breeding. Plant Biotechnology Journal. 20(9). 1642–1644. 43 indexed citations

Ling, Yu, et al.. (2022). Genome resequencing reveals independent domestication and breeding improvement of naked oat. GigaScience. 12. 8 indexed citations

Fu, Jun, Yilin Zhang, Yanfeng Li, et al.. (2022). Transcriptome profiling of two super hybrid rice provides insights into the genetic basis of heterosis. BMC Plant Biology. 22(1). 314–314. 18 indexed citations

Qin, Peng, Nan Jiang, Xiaochun Hu, et al.. (2021). Breeding a series of new rice restorer lines with blast resistance and low‐to‐intermediate apparent amylose contents by integrating marker‐assisted and phenotypic selection. Journal of Phytopathology. 169(11-12). 667–677. 2 indexed citations

Wang, Kai, Shilong Xu, Yan Xu, et al.. (2021). Validating a segment on chromosome 7 of japonica for establishing low-cadmium accumulating indica rice variety. Scientific Reports. 11(1). 6053–6053. 11 indexed citations

Yang, Yu, Jiantao Guan, Fei Ren, et al.. (2021). Population-scale peach genome analyses unravel selection patterns and biochemical basis underlying fruit flavor. Nature Communications. 12(1). 3604–3604. 55 indexed citations

10.

Guan, Jiantao, Yu Yang, Jun Fu, et al.. (2021). Genome structure variation analyses of peach reveal population dynamics and a 1.67 Mb causal inversion for fruit shape. Genome biology. 22(1). 13–13. 67 indexed citations

11.

Jiang, Nan, Jun Fu, Qin Zeng, et al.. (2021). Genome-wide association mapping for resistance to bacterial blight and bacterial leaf streak in rice. Planta. 253(5). 94–94. 12 indexed citations

12.

Jiang, Nan, Xinhui Zhao, Jun Fu, et al.. (2020). Identification of the blast resistance gene Picl(t) from Chaling common wild rice (Oryza rufipogon Griff.). Journal of Phytopathology. 168(4). 211–219. 2 indexed citations

13.

Fu, Jun, et al.. (2020). The effect of environmental conditions on the rate of RNA degradation in dried blood stains. Forensic Science International Genetics. 51. 102456–102456. 27 indexed citations

14.

Zhang, Xiaoxiang, Jun Fu, Yinchao Zhang, et al.. (2019). Combined GWAS and QTL analysis for dissecting the genetic architecture of kernel test weight in maize. Molecular Genetics and Genomics. 295(2). 409–420. 32 indexed citations

15.

Fu, Jun, et al.. (2019). Post-silking nitrogen accumulation and remobilization are associated with green leaf persistence and plant density in maize. Journal of Integrative Agriculture. 18(8). 1882–1892. 23 indexed citations

16.

Fu, Jun & Robert W. Allen. (2018). A method to estimate the age of bloodstains using quantitative PCR. Forensic Science International Genetics. 39. 103–108. 31 indexed citations

17.

Yang, Yu, Jun Fu, Jiewei Zhang, et al.. (2018). Genome re-sequencing reveals the evolutionary history of peach fruit edibility. Nature Communications. 9(1). 5404–5404. 96 indexed citations

18.

Fu, Jun, et al.. (2016). Complex Variability within the THCA and CBDA Synthase Genes in Cannabis Species. 4(1).

19.

Zhang, Haoqiang, Zhen Wang, Mengjie Liu, et al.. (2015). The significance of copy number variation in multiple osteosarcoma's malignance grade, drug resistance and classification. Zhonghua guke zazhi. 35(4). 442–449. 2 indexed citations

20.

Qu, Yanhua, Shilin Tian, Naijian Han, et al.. (2015). Genetic responses to seasonal variation in altitudinal stress: whole-genome resequencing of great tit in eastern Himalayas. Scientific Reports. 5(1). 14256–14256. 29 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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