Dagang Tian

1.3k total citations
36 papers, 1.0k citations indexed

About

Dagang Tian is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Dagang Tian has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 22 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Dagang Tian's work include Plant-Microbe Interactions and Immunity (11 papers), Plant Disease Resistance and Genetics (10 papers) and Fungal and yeast genetics research (8 papers). Dagang Tian is often cited by papers focused on Plant-Microbe Interactions and Immunity (11 papers), Plant Disease Resistance and Genetics (10 papers) and Fungal and yeast genetics research (8 papers). Dagang Tian collaborates with scholars based in China, United States and Saudi Arabia. Dagang Tian's co-authors include Shulin Xue, Feng Lin, Zhengqiang Ma, Zhijun Kong, Caiqin Zhang, Dongmei Zhao, Zheng‐Zhi Zhang, Zhongxin Kong, Qingyun Luo and Zaijie Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and International Journal of Molecular Sciences.

In The Last Decade

Dagang Tian

32 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dagang Tian China 15 961 261 252 188 65 36 1.0k
Núbia Barbosa Eloy Brazil 15 770 0.8× 116 0.4× 82 0.3× 623 3.3× 25 0.4× 22 969
Han Xing China 18 852 0.9× 66 0.3× 71 0.3× 176 0.9× 30 0.5× 44 908
Shan Lu China 10 572 0.6× 81 0.3× 72 0.3× 193 1.0× 32 0.5× 18 629
Christian Ametz Austria 11 623 0.6× 151 0.6× 276 1.1× 62 0.3× 60 0.9× 24 654
Aliza Finkler Israel 12 678 0.7× 40 0.2× 48 0.2× 379 2.0× 30 0.5× 17 820
Deshun Feng China 14 647 0.7× 32 0.1× 206 0.8× 161 0.9× 80 1.2× 27 673
Fabio Cericola Denmark 11 465 0.5× 34 0.1× 297 1.2× 111 0.6× 48 0.7× 14 569
Cyril Falentin France 18 966 1.0× 36 0.1× 299 1.2× 867 4.6× 14 0.2× 28 1.3k
Nemanja Vukašinović Belgium 13 1.3k 1.3× 105 0.4× 42 0.2× 793 4.2× 24 0.4× 17 1.4k
A. B. Puteh Malaysia 12 557 0.6× 143 0.5× 62 0.2× 145 0.8× 60 0.9× 33 626

Countries citing papers authored by Dagang Tian

Since Specialization
Citations

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

Fields of papers citing papers by Dagang Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagang Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Dagang Tian. A scholar is included among the top collaborators of Dagang Tian 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 Dagang Tian. Dagang Tian 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.
Tian, Dagang, Huaqing Liu, Xi Lü, et al.. (2025). Editing the RR-TZF Gene Subfamily in Rice Uncovers Potential Risks of CRISPR/Cas9 for Targeted Genetic Modification. International Journal of Molecular Sciences. 26(3). 1354–1354.
2.
Zheng, Meixia, Dagang Tian, Yanming Zhu, et al.. (2025). Quasi-Targeted Metabonomics Reveals Metabolites Associated with Antioxidant Activity of Mesona chinensis Benth Cultivar Xiaoye. Plants. 14(11). 1585–1585.
3.
Tian, Dagang, et al.. (2025). UvCYP503 is required for stress response and pathogenicity in Ustilaginoidea virens. Virulence. 16(1). 2472877–2472877. 1 indexed citations
4.
Chen, Ziqiang, Feng Wang, Binghua Chen, et al.. (2024). Turnip mosaic virus NIb weakens the function of eukaryotic translation initiation factor 6 facilitating viral infection in Nicotiana benthamiana. Molecular Plant Pathology. 25(2). e13434–e13434. 1 indexed citations
5.
Li, Chenchen, Ziqiang Chen, Yun Deng, et al.. (2023). iTRAQ-based protein profiling and functional identification of four genes involved in rice basal resistance against Magnaporthe oryzae in two contrasting rice genotypes. SHILAP Revista de lepidopterología. 3(1). 39–39. 1 indexed citations
6.
Guo, Mingliang, Wenchao Zhang, Maokai Yan, et al.. (2022). OsDDM1b Controls Grain Size by Influencing Cell Cycling and Regulating Homeostasis and Signaling of Brassinosteroid in Rice. Frontiers in Plant Science. 13. 873993–873993. 5 indexed citations
7.
Guo, Mingliang, Heming Zhao, Wenchao Zhang, et al.. (2022). Comparative Expression Profiling of Snf2 Family Genes During Reproductive Development and Stress Responses in Rice. Frontiers in Plant Science. 13. 910663–910663. 10 indexed citations
8.
Tian, Dagang, Ziqiang Chen, Yan Lin, et al.. (2021). Two novel gene-specific markers at the Pik locus facilitate the application of rice blast resistant alleles in breeding. Journal of Integrative Agriculture. 20(6). 1554–1562. 5 indexed citations
9.
Tian, Dagang, Yan Lin, Ziqiang Chen, et al.. (2020). Exploring the Distribution of Blast Resistance Alleles at the Pi2/9 Locus in Major Rice-Producing Areas of China by a Novel Indel Marker. Plant Disease. 104(7). 1932–1938. 6 indexed citations
10.
Tian, Dagang, Fang Yang, Yan Lin, et al.. (2020). Loss function of SL (sekiguchi lesion) in the rice cultivar Minghui 86 leads to enhanced resistance to (hemi)biotrophic pathogens. BMC Plant Biology. 20(1). 507–507. 30 indexed citations
11.
12.
Tian, Dagang, et al.. (2019). Improving blast resistance of the rice restorer line, Hui 316, by introducing Pi9 or Pi2 with marker-assisted selection. Biotechnology & Biotechnological Equipment. 33(1). 1195–1203. 7 indexed citations
13.
Guo, Xinrui, Wei Xie, Yueqin Zheng, et al.. (2019). Functional Identification of Novel Cell Death-inducing Effector Proteins from Magnaporthe oryzae. Rice. 12(1). 59–59. 28 indexed citations
14.
15.
Chen, Xiaohong, Dagang Tian, Xiangxiang Kong, et al.. (2016). The role of nitric oxide signalling in response to salt stress in Chlamydomonas reinhardtii. Planta. 244(3). 651–669. 42 indexed citations
16.
Chen, Jinhui, Tian Lin, Huifang Xu, et al.. (2012). Cold-induced changes of protein and phosphoprotein expression patterns from rice roots as revealed by multiplex proteomic analysis.. Plant Omics. 5(2). 194–199. 21 indexed citations
17.
Yang, Liming, et al.. (2011). Proteomics-based identification of storage, metabolic, and allergenic proteins in wheat seed from 2-DE gels. African Journal of Agricultural Research. 6(4). 808–816. 5 indexed citations
18.
Chen, Jinhui, Jisen Shi, Dagang Tian, et al.. (2011). Improved protein identification using a species-specific protein/peptide database derived from expressed sequence tags. Plant Omics. 4(5). 257–263. 4 indexed citations
19.
Lin, Feng, et al.. (2008). Mapping chromosomal regions affecting flowering time in a spring wheat RIL population. Euphytica. 164(3). 769–777. 33 indexed citations
20.
Lin, Feng, Zhijun Kong, Huayu Zhu, et al.. (2004). Mapping QTL associated with resistance to Fusarium head blight in the Nanda2419�נWangshuibai population. I. Type�II resistance. Theoretical and Applied Genetics. 109(7). 1504–1511. 165 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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