Dejun Han

3.4k total citations · 1 hit paper
93 papers, 1.9k citations indexed

About

Dejun Han is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Dejun Han has authored 93 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Plant Science, 27 papers in Genetics and 19 papers in Molecular Biology. Recurrent topics in Dejun Han's work include Wheat and Barley Genetics and Pathology (62 papers), Plant Disease Resistance and Genetics (34 papers) and Genetics and Plant Breeding (30 papers). Dejun Han is often cited by papers focused on Wheat and Barley Genetics and Pathology (62 papers), Plant Disease Resistance and Genetics (34 papers) and Genetics and Plant Breeding (30 papers). Dejun Han collaborates with scholars based in China, United States and Mexico. Dejun Han's co-authors include Zhensheng Kang, Jianhui Wu, Qingdong Zeng, Qilin Wang, Jingmei Mu, Xianming Chen, Shengjie Liu, Shizhou Yu, Lili Huang and Xiaojie Wang and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Dejun Han

81 papers receiving 1.8k citations

Hit Papers

Host genotype-specific rhizosphere fungus enhances drough... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dejun Han China 29 1.7k 498 462 189 99 93 1.9k
Aizhong Cao China 27 1.9k 1.1× 202 0.4× 334 0.7× 74 0.4× 198 2.0× 69 2.0k
Song Lim Kim South Korea 17 1.2k 0.7× 496 1.0× 513 1.1× 39 0.2× 70 0.7× 35 1.3k
Sunish K. Sehgal United States 23 1.7k 1.0× 500 1.0× 329 0.7× 229 1.2× 121 1.2× 66 1.8k
Dawei Xin China 21 1.3k 0.7× 209 0.4× 251 0.5× 105 0.6× 26 0.3× 97 1.4k
Philomin Juliana Mexico 23 1.4k 0.8× 909 1.8× 119 0.3× 167 0.9× 60 0.6× 56 1.6k
Joshua N. Cobb Philippines 12 1.2k 0.7× 636 1.3× 150 0.3× 92 0.5× 40 0.4× 19 1.4k
Alain Ghesquière France 32 2.4k 1.4× 700 1.4× 728 1.6× 59 0.3× 82 0.8× 64 2.6k
Soraya C. M. Leal‐Bertioli Brazil 27 2.4k 1.4× 278 0.6× 748 1.6× 110 0.6× 27 0.3× 81 2.6k
Meng Huang United States 8 1.4k 0.8× 878 1.8× 234 0.5× 188 1.0× 60 0.6× 19 1.7k
Sophie Bouchet France 19 926 0.5× 773 1.6× 244 0.5× 291 1.5× 20 0.2× 29 1.3k

Countries citing papers authored by Dejun Han

Since Specialization
Citations

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

Fields of papers citing papers by Dejun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Dejun Han. A scholar is included among the top collaborators of Dejun Han 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 Dejun Han. Dejun Han 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.
Wang, Xiaoming, Peng Zhao, James Simmonds, et al.. (2025). Population transcriptome and phenotype analyses reveal that Rht-D1b contributed a larger seedling root to modern bread wheat. The Plant Cell. 37(11).
3.
Feng, Yi, et al.. (2025). Functional characterization of TaNAC6-3B: A key regulator of drought tolerance in wheat (Triticum aestivum L.). Plant Physiology and Biochemistry. 229(Pt C). 110578–110578. 1 indexed citations
4.
Yue, Hong, Xuming Sun, Tingting Wang, et al.. (2024). Host genotype-specific rhizosphere fungus enhances drought resistance in wheat. Microbiome. 12(1). 44–44. 41 indexed citations breakdown →
5.
Ma, Jianhui, Yize Wang, Shuya Li, et al.. (2024). Genome-wide association study revealed the reason for the decrease in grain iron concentration during wheat breeding process in China. Field Crops Research. 309. 109326–109326. 3 indexed citations
6.
Wang, Meng, Jie Cheng, Jianhui Wu, et al.. (2024). Variation in TaSPL6-D confers salinity tolerance in bread wheat by activating TaHKT1;5-D while preserving yield-related traits. Nature Genetics. 56(6). 1257–1269. 27 indexed citations
7.
Han, Dejun, et al.. (2024). Evaluation of stress tolerance and physiological response of cold-type wheat under heat stress. ACTA AGRONOMICA SINICA. 51(4). 1118–1130.
8.
Yu, Rui, Xiaofeng Cao, Jia Liu, et al.. (2024). Using UAV-Based Temporal Spectral Indices to Dissect Changes in the Stay-Green Trait in Wheat. Plant Phenomics. 6. 171–171. 4 indexed citations
9.
Zhang, Liangqi, Hao Chen, Yuqi Wang, et al.. (2024). Genome-wide QTL mapping for agronomic traits in the winter wheat cultivar Pindong 34 based on 90K SNP array. Frontiers in Plant Science. 15. 1369440–1369440.
10.
Zhang, Xue, Lei Li, Rui Yu, et al.. (2023). Core root-associated prokaryotic community and its relationship to host traits across wheat varieties. Journal of Experimental Botany. 74(8). 2740–2753. 7 indexed citations
11.
Huang, Shuo, Yibo Zhang, Hui Ren, et al.. (2023). High density mapping of wheat stripe rust resistance gene QYrXN3517-1BL using QTL mapping, BSE-Seq and candidate gene analysis. Theoretical and Applied Genetics. 136(3). 39–39. 9 indexed citations
12.
Zhu, Zhanwang, Dejun Han, Jianhui Wu, et al.. (2023). Molecular characterization and validation of adult-plant stripe rust resistance gene Yr86 in Chinese wheat cultivar Zhongmai 895. Theoretical and Applied Genetics. 136(6). 142–142. 48 indexed citations
13.
Ren, Xiaojun, Hao Yang, Ting Zhang, et al.. (2022). CRISPR-Cas12a-Based Diagnostics of Wheat Fungal Diseases. Journal of Agricultural and Food Chemistry. 70(23). 7240–7247. 34 indexed citations
14.
Zhou, Xinli, et al.. (2022). Genome-Wide QTL Mapping for Stripe Rust Resistance in Winter Wheat Pindong 34 Using a 90K SNP Array. Frontiers in Plant Science. 13. 932762–932762. 10 indexed citations
15.
Zhang, Hanbing, Jing Han, Jianhui Wu, et al.. (2021). Identification of genetic locus with resistance to take-all in the wheat-Psathyrostachys huashanica Keng introgression line H148. Journal of Integrative Agriculture. 20(12). 3101–3113. 10 indexed citations
16.
Zhang, Xudong, et al.. (2020). Wheat Stripe Rust Grading by Deep Learning With Attention Mechanism and Images From Mobile Devices. Frontiers in Plant Science. 11. 558126–558126. 91 indexed citations
17.
Shi, Shandang, Daojie Sun, Dejun Han, et al.. (2020). Identification of New Sources of Resistance to Crown Rot and Fusarium Head Blight in Wheat. Plant Disease. 104(7). 1979–1985. 28 indexed citations
18.
Yuan, Fengping, Qingdong Zeng, Jianhui Wu, et al.. (2018). QTL Mapping and Validation of Adult Plant Resistance to Stripe Rust in Chinese Wheat Landrace Humai 15. Frontiers in Plant Science. 9. 968–968. 48 indexed citations
19.
Mu, Jingmei, Shuo Huang, Shengjie Liu, et al.. (2018). Genetic architecture of wheat stripe rust resistance revealed by combining QTL mapping using SNP-based genetic maps and bulked segregant analysis. Theoretical and Applied Genetics. 132(2). 443–455. 30 indexed citations
20.
Wang, Xiaojie, Chunlei Tang, Lin Deng, et al.. (2009). Characterization of a pathogenesis-related thaumatin-like protein geneTaPR5from wheat induced by stripe rust fungus. Physiologia Plantarum. 139(1). 27–38. 78 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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