Dongfa Sun

569 total citations
21 papers, 393 citations indexed

About

Dongfa Sun is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Dongfa Sun has authored 21 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 12 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Dongfa Sun's work include Wheat and Barley Genetics and Pathology (16 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Genetics and Plant Breeding (10 papers). Dongfa Sun is often cited by papers focused on Wheat and Barley Genetics and Pathology (16 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Genetics and Plant Breeding (10 papers). Dongfa Sun collaborates with scholars based in China, Australia and Canada. Dongfa Sun's co-authors include Chengdao Li, Genlou Sun, Xifeng Ren, Binbin Du, Jibin Wang, Qifei Wang, Yun Cheng, Yixiang Wang, Qifei Wang and Changping Zhao and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Dongfa Sun

21 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongfa Sun China 13 362 174 76 74 13 21 393
Babak Nakhoda Iran 13 408 1.1× 114 0.7× 49 0.6× 81 1.1× 16 1.2× 37 436
Jinjie Guo China 7 326 0.9× 247 1.4× 84 1.1× 55 0.7× 10 0.8× 8 379
Elena Chiapparino Italy 8 406 1.1× 235 1.4× 60 0.8× 91 1.2× 17 1.3× 8 450
Zhipeng Liu China 6 338 0.9× 240 1.4× 83 1.1× 48 0.6× 10 0.8× 8 390
Deming Jin China 9 452 1.2× 152 0.9× 107 1.4× 38 0.5× 19 1.5× 14 495
Noraziyah Abd Aziz Shamsudin Malaysia 11 528 1.5× 203 1.2× 35 0.5× 26 0.4× 10 0.8× 36 554
Ainong Gao China 15 649 1.8× 237 1.4× 100 1.3× 62 0.8× 16 1.2× 28 664
Huanwen Xu China 10 306 0.8× 115 0.7× 108 1.4× 66 0.9× 6 0.5× 17 328
T. Abadie Uruguay 8 282 0.8× 149 0.9× 48 0.6× 48 0.6× 19 1.5× 16 312
Sara J. Larsson United States 5 252 0.7× 193 1.1× 57 0.8× 42 0.6× 6 0.5× 7 304

Countries citing papers authored by Dongfa Sun

Since Specialization
Citations

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

Fields of papers citing papers by Dongfa Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongfa Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Dongfa Sun. A scholar is included among the top collaborators of Dongfa Sun 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 Dongfa Sun. Dongfa Sun 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.
Zhao, Ting, Yu Zhou, Yue An, et al.. (2022). Identification of QTL underlying the main stem related traits in a doubled haploid barley population. Frontiers in Plant Science. 13. 1063988–1063988. 1 indexed citations
2.
Wang, Yonggang, Yanhao Xu, Sanjiv Gupta, et al.. (2020). Fine mapping QSc.VR4, an effective and stable scald resistance locus in barley (Hordeum vulgare L.), to a 0.38-Mb region enriched with LRR-RLK and GLP genes. Theoretical and Applied Genetics. 133(7). 2307–2321. 3 indexed citations
3.
Wang, Qifei, Genlou Sun, Xifeng Ren, et al.. (2019). Dissecting the Genetic Basis of Grain Size and Weight in Barley (Hordeum vulgare L.) by QTL and Comparative Genetic Analyses. Frontiers in Plant Science. 10. 469–469. 44 indexed citations
4.
Du, Binbin, Qifei Wang, Genlou Sun, et al.. (2019). Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley. Scientific Reports. 9(1). 18823–18823. 21 indexed citations
5.
Du, Binbin, Qifei Wang, Genlou Sun, et al.. (2019). Identification of QTL underlying the leaf length and area of different leaves in barley. Scientific Reports. 9(1). 4431–4431. 17 indexed citations
6.
Hu, Xin, Jian‐Fang Zuo, Jibin Wang, et al.. (2018). Multi-Locus Genome-Wide Association Studies for 14 Main Agronomic Traits in Barley. Frontiers in Plant Science. 9. 1683–1683. 27 indexed citations
7.
Wang, Qifei, Genlou Sun, Xifeng Ren, et al.. (2017). Detection of QTLs for seedling characteristics in barley (Hordeum vulgare L.) grown under hydroponic culture condition. BMC Genetics. 18(1). 94–94. 15 indexed citations
8.
Ren, Xifeng, Jibin Wang, Genlou Sun, et al.. (2016). SNP-based high density genetic map and mapping of btwd1 dwarfing gene in barley. Scientific Reports. 6(1). 31741–31741. 18 indexed citations
9.
Wang, Jibin, Genlou Sun, Xifeng Ren, et al.. (2016). QTL underlying some agronomic traits in barley detected by SNP markers. BMC Genetics. 17(1). 103–103. 39 indexed citations
10.
Sun, Genlou, et al.. (2015). Identification of QTL underlying physiological and morphological traits of flag leaf in barley. BMC Genetics. 16(1). 29–29. 44 indexed citations
11.
Jin, Xiaoli, Sue Broughton, Xiaoqi Zhang, et al.. (2015). A new allele of acid soil tolerance gene from a malting barley variety. BMC Genetics. 16(1). 92–92. 15 indexed citations
12.
Sun, Dongfa, et al.. (2014). Molecular detection of QTL controlling plant height components in a doubled haploid barley population. Genetics and Molecular Research. 13(2). 3089–3099. 11 indexed citations
13.
Ren, Xifeng, Dongfa Sun, Genlou Sun, Chengdao Li, & Wubei Dong. (2013). Molecular detection of QTL for agronomic and quality traits in a doubled haploid barley population. Australian Journal of Crop Science. 7(6). 878–886. 14 indexed citations
14.
Waters, I., Sue Broughton, Xiaoqi Zhang, et al.. (2013). Development of gene-specific markers for acid soil/aluminium tolerance in barley (Hordeum vulgare L.). Molecular Breeding. 32(1). 155–164. 19 indexed citations
15.
Ren, Xifeng, Chengdao Li, Mehmet Çakır, et al.. (2012). A quantitative trait locus for long photoperiod response mapped on chromosome 4H in barley. Molecular Breeding. 30(2). 1121–1130. 4 indexed citations
16.
Ye, Lingzhen, Fei Dai, Long Qiu, Dongfa Sun, & Guoping Zhang. (2011). Allelic Diversity of a Beer Haze Active Protein Gene in Cultivated and Tibetan Wild Barley and Development of Allelic Specific Markers. Journal of Agricultural and Food Chemistry. 59(13). 7218–7223. 9 indexed citations
17.
Ren, Xifeng, Chengdao Li, W. J. R. Boyd, et al.. (2010). QTLs and their interaction determining different heading dates of barley in Australia and China. Crop and Pasture Science. 61(2). 145–152. 3 indexed citations
18.
Sun, Dongfa, et al.. (2006). Two recessive genes controlling thermophotoperiod-sensitive male sterility in wheat. Theoretical and Applied Genetics. 112(7). 1271–1276. 45 indexed citations
19.
Sun, Dongfa, et al.. (2006). Inheritance of thermo-photoperiod sensitive male sterility in wheat. Australian Journal of Agricultural Research. 57(2). 187–192. 10 indexed citations
20.
Zhao, Changping, et al.. (2006). Fertility alteration in the photo-thermo-sensitive male sterile line BS20 of wheat (Triticum aestivum L.). Euphytica. 151(2). 207–213. 28 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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