Yufeng Hua

628 total citations · 1 hit paper
7 papers, 446 citations indexed

About

Yufeng Hua is a scholar working on Plant Science, Molecular Biology and Water Science and Technology. According to data from OpenAlex, Yufeng Hua has authored 7 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 4 papers in Molecular Biology and 2 papers in Water Science and Technology. Recurrent topics in Yufeng Hua's work include CRISPR and Genetic Engineering (4 papers), Chromosomal and Genetic Variations (3 papers) and Plant Virus Research Studies (2 papers). Yufeng Hua is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Chromosomal and Genetic Variations (3 papers) and Plant Virus Research Studies (2 papers). Yufeng Hua collaborates with scholars based in China, France and Denmark. Yufeng Hua's co-authors include Kejian Wang, Chun Wang, Qing Liu, Zhukuan Cheng, Jianrong Lin, Tingting Sun, Junjie Wang, Raphaël Mercier, Yi Shen and Jian Huang and has published in prestigious journals such as Nature Biotechnology, Journal of Environmental Management and Frontiers in Plant Science.

In The Last Decade

Yufeng Hua

7 papers receiving 430 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clonal seeds from hybrid rice by simultaneous genome engineering of meiosis and fertilization genes

2019 241 citations Chun Wang, Qing Liu et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yufeng Hua China	6	314	288	75	56	35	7	446
Dawei Liang China	6	284 0.9×	296 1.0×	33 0.4×	32 0.6×	12 0.3×	6	357
Xiaolong Qi China	9	343 1.1×	377 1.3×	44 0.6×	55 1.0×	20 0.6×	13	461
Greg F. W. Gocal Australia	6	448 1.4×	467 1.6×	37 0.5×	36 0.6×	26 0.7×	8	546
Samson Simon Germany	10	275 0.9×	271 0.9×	67 0.9×	29 0.5×	34 1.0×	15	345
Maia Gurushidze Germany	10	307 1.0×	461 1.6×	38 0.5×	76 1.4×	11 0.3×	11	537
Scott Schaeffer United States	8	200 0.6×	195 0.7×	35 0.5×	16 0.3×	30 0.9×	10	296
Pierluigi Barone United States	13	441 1.4×	411 1.4×	49 0.7×	21 0.4×	27 0.8×	17	586
Haiwei Lu United States	12	252 0.8×	207 0.7×	29 0.4×	20 0.4×	29 0.8×	21	343
Baojian Chen China	11	671 2.1×	717 2.5×	94 1.3×	79 1.4×	9 0.3×	34	884
Hiroki Tsutsui Japan	7	274 0.9×	264 0.9×	14 0.2×	37 0.7×	25 0.7×	11	353

Countries citing papers authored by Yufeng Hua

Since Specialization

Citations

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

Fields of papers citing papers by Yufeng Hua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yufeng Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Yufeng Hua. A scholar is included among the top collaborators of Yufeng Hua 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 Yufeng Hua. Yufeng Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Wei, Xin, Qing Liu, Tingting Sun, et al.. (2022). Manipulation of genetic recombination by editing the transcriptional regulatory regions of a meiotic gene in hybrid rice. Plant Communications. 4(2). 100474–100474. 5 indexed citations

2.

Sun, Ken, et al.. (2022). Impact assessment on the economy, society, resource, and environment in the water-receiving cities of the Middle Route Project of South-to-North Water Diversion. Environmental Science and Pollution Research. 29(60). 90378–90390. 8 indexed citations

3.

Sun, Ken, et al.. (2022). Microwave-assisted iron oxide process for efficient removal of tetracycline. Journal of Environmental Management. 307. 114600–114600. 16 indexed citations

4.

Liu, Chaolei, Yufeng Hua, Guijie Du, et al.. (2021). Concurrent Disruption of Genetic Interference and Increase of Genetic Recombination Frequency in Hybrid Rice Using CRISPR/Cas9. Frontiers in Plant Science. 12. 757152–757152. 10 indexed citations

5.

Wang, Chun, Qing Liu, Yi Shen, et al.. (2019). Clonal seeds from hybrid rice by simultaneous genome engineering of meiosis and fertilization genes. Nature Biotechnology. 37(3). 283–286. 241 indexed citations breakdown →

6.

Hua, Yufeng, Chun Wang, Jian Huang, & Kejian Wang. (2017). A simple and efficient method for CRISPR/Cas9-induced mutant screening. Journal of genetics and genomics. 44(4). 207–213. 77 indexed citations

7.

Shen, Lan, Yufeng Hua, Yaping Fu, et al.. (2017). Rapid generation of genetic diversity by multiplex CRISPR/Cas9 genome editing in rice. Science China Life Sciences. 60(5). 506–515. 89 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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