Fangkun Wu

459 total citations
22 papers, 323 citations indexed

About

Fangkun Wu is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Fangkun Wu has authored 22 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 13 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Fangkun Wu's work include Wheat and Barley Genetics and Pathology (16 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Genetics and Plant Breeding (12 papers). Fangkun Wu is often cited by papers focused on Wheat and Barley Genetics and Pathology (16 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Genetics and Plant Breeding (12 papers). Fangkun Wu collaborates with scholars based in China, Australia and Estonia. Fangkun Wu's co-authors include Yaxi Liu, Yuming Wei, Yu Lin, Zhiqiang Wang, Youliang Zheng, Jian Ma, Guangdeng Chen, Haoran Shi, Mei Deng and Xiaojun Jiang and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Plant Science and Theoretical and Applied Genetics.

In The Last Decade

Fangkun Wu

20 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangkun Wu China 12 313 158 76 24 22 22 323
Yu Lin China 13 426 1.4× 214 1.4× 99 1.3× 35 1.5× 36 1.6× 33 448
Jiajun Liu China 13 358 1.1× 141 0.9× 77 1.0× 60 2.5× 35 1.6× 27 384
Félix Marza Mexico 9 395 1.3× 258 1.6× 54 0.7× 12 0.5× 19 0.9× 11 396
Eric Dinglasan Australia 13 517 1.7× 162 1.0× 92 1.2× 58 2.4× 24 1.1× 32 542
Luciano da Costa e Silva United States 7 298 1.0× 175 1.1× 64 0.8× 37 1.5× 7 0.3× 11 355
Stella Hubbart‐Edwards United Kingdom 13 351 1.1× 89 0.6× 38 0.5× 52 2.2× 8 0.4× 17 366
Magen S. Eller United States 6 188 0.6× 108 0.7× 39 0.5× 18 0.8× 55 2.5× 8 218
You GuangXia China 9 410 1.3× 256 1.6× 69 0.9× 16 0.7× 7 0.3× 15 425
Jahangir Khan United States 8 249 0.8× 89 0.6× 46 0.6× 46 1.9× 8 0.4× 15 281
Shiksha Chaurasia India 9 252 0.8× 54 0.3× 39 0.5× 29 1.2× 15 0.7× 17 267

Countries citing papers authored by Fangkun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fangkun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangkun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangkun Wu. A scholar is included among the top collaborators of Fangkun Wu 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 Fangkun Wu. Fangkun Wu 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.
2.
Li, Sha, Fangkun Wu, Zhichao Hu, et al.. (2025). FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis. 21937–21957.
3.
Wang, Zhiqiang, Ying Zhang, Xudong Chen, et al.. (2024). Identification, validation and candidate gene analysis of major QTL for Supernumerary spikelets in wheat. BMC Genomics. 25(1). 675–675.
4.
Wu, Fangkun, Zhiqiang Wang, Yan Liu, et al.. (2023). Genome-wide identification and characterization of circRNAs in wheat tiller. Theoretical and Applied Genetics. 136(5). 102–102. 5 indexed citations
5.
Lin, Yu, Qing Wang, Hao Chen, et al.. (2022). Genome-wide association mapping of Fusarium crown rot resistance in Aegilops tauschii. Frontiers in Plant Science. 13. 998622–998622. 5 indexed citations
6.
Lin, Yu, Xiaojun Jiang, Fangkun Wu, et al.. (2022). Identification and Validation of Quantitative Trait Loci Mapping for Spike-Layer Uniformity in Wheat. International Journal of Molecular Sciences. 23(3). 1052–1052. 1 indexed citations
7.
Hou, Shuai, Fangkun Wu, Zhiqiang Wang, et al.. (2022). Mapping Stripe Rust Resistance QTL in ‘N2496’, a Synthetic Hexaploid Wheat Derivative. Plant Disease. 107(2). 443–449. 2 indexed citations
8.
Lin, Yu, Ning Yan, Chao Li, et al.. (2022). Identification and Genome-Wide Association Analysis for Fusarium Crown Rot Resistance in Wheat. Plant Disease. 107(4). 1151–1158. 9 indexed citations
9.
Wang, Zhiqiang, Fangkun Wu, Xudong Chen, et al.. (2021). Fine mapping of the tiller inhibition gene TIN4 contributing to ideal plant architecture in common wheat. Theoretical and Applied Genetics. 135(2). 527–535. 13 indexed citations
10.
Lin, Yu, Xiaojun Jiang, Haiyan Hu, et al.. (2021). QTL mapping for grain number per spikelet in wheat using a high-density genetic map. The Crop Journal. 9(5). 1108–1114. 23 indexed citations
11.
Lin, Yu, Xiaojun Jiang, Tao Yang, et al.. (2020). Identification and validation of stable quantitative trait loci for grain filling rate in common wheat (Triticum aestivum L.). Theoretical and Applied Genetics. 133(8). 2377–2385. 14 indexed citations
12.
Ma, Jun, Yu Lin, Si Tang, et al.. (2020). A Genome-Wide Association Study of Coleoptile Length in Different Chinese Wheat Landraces. Frontiers in Plant Science. 11. 677–677. 15 indexed citations
13.
Lin, Yu, Guangdeng Chen, Haiyan Hu, et al.. (2020). Phenotypic and genetic variation in phosphorus-deficiency-tolerance traits in Chinese wheat landraces. BMC Plant Biology. 20(1). 330–330. 22 indexed citations
14.
Wang, Zhiqiang, Haiyan Hu, Xiaojun Jiang, et al.. (2020). Identification and Validation of a Novel Major Quantitative Trait Locus for Plant Height in Common Wheat (Triticum aestivum L.). Frontiers in Genetics. 11. 602495–602495. 12 indexed citations
15.
Wu, Fangkun, Xin Yi, Yu Lin, et al.. (2020). Quantitative trait loci analysis for root traits in synthetic hexaploid wheat under drought stress conditions. Journal of Integrative Agriculture. 19(8). 1947–1960. 17 indexed citations
16.
17.
Lin, Yu, Xin Yi, Si Tang, et al.. (2019). Dissection of Phenotypic and Genetic Variation of Drought‐Related Traits in Diverse Chinese Wheat Landraces. The Plant Genome. 12(3). 1–14. 38 indexed citations
18.
Liu, Yaxi, Fangkun Wu, Xiaojun Jiang, et al.. (2018). Quantitative trait loci analysis of root traits under phosphorus deficiency at the seedling stage in wheat. Genome. 61(3). 209–215. 12 indexed citations
19.
Wu, Fangkun, Zhiqiang Wang, Mei Deng, et al.. (2017). Identification of major quantitative trait loci for root diameter in synthetic hexaploid wheat under phosphorus-deficient conditions. Journal of Applied Genetics. 58(4). 437–447. 11 indexed citations
20.
Wang, Zhiqiang, Yaxi Liu, Haoran Shi, et al.. (2016). Identification and validation of novel low-tiller number QTL in common wheat. Theoretical and Applied Genetics. 129(3). 603–612. 51 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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