Zhiwu Dan

824 total citations
22 papers, 557 citations indexed

About

Zhiwu Dan is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Zhiwu Dan has authored 22 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 11 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Zhiwu Dan's work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Rice Cultivation and Yield Improvement (8 papers) and Photosynthetic Processes and Mechanisms (7 papers). Zhiwu Dan is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (9 papers), Rice Cultivation and Yield Improvement (8 papers) and Photosynthetic Processes and Mechanisms (7 papers). Zhiwu Dan collaborates with scholars based in China and United States. Zhiwu Dan's co-authors include Shaoqing Li, Yingguo Zhu, Wenchao Huang, Yunping Chen, Renshan Zhu, Guoxin Yao, Jun Hu, Yafei Zeng, Feng Gao and Fengfeng Fan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.

In The Last Decade

Zhiwu Dan

21 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiwu Dan China 12 433 301 158 18 17 22 557
Roshi Shrestha United Kingdom 11 568 1.3× 168 0.6× 178 1.1× 26 1.4× 27 1.6× 14 591
Yadong Xue China 14 480 1.1× 176 0.6× 272 1.7× 49 2.7× 28 1.6× 28 597
Ruci Wang China 9 482 1.1× 183 0.6× 210 1.3× 14 0.8× 15 0.9× 11 540
Yuehua Luo China 10 359 0.8× 153 0.5× 137 0.9× 12 0.7× 18 1.1× 19 399
Changlan Zhu China 13 376 0.9× 107 0.4× 173 1.1× 22 1.2× 12 0.7× 29 424
Huanhuan Tai China 10 669 1.5× 270 0.9× 56 0.4× 44 2.4× 10 0.6× 13 708
Baoshen Liu China 10 311 0.7× 130 0.4× 127 0.8× 45 2.5× 13 0.8× 31 357
K. Topinka Canada 6 294 0.7× 225 0.7× 49 0.3× 28 1.6× 13 0.8× 10 324
U. Hohmann Germany 14 537 1.2× 217 0.7× 109 0.7× 27 1.5× 11 0.6× 24 586
Jutta Förster Germany 10 450 1.0× 142 0.5× 117 0.7× 30 1.7× 18 1.1× 13 486

Countries citing papers authored by Zhiwu Dan

Since Specialization
Citations

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

Fields of papers citing papers by Zhiwu Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiwu Dan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiwu Dan. A scholar is included among the top collaborators of Zhiwu Dan 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 Zhiwu Dan. Zhiwu Dan 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.
Dan, Zhiwu, Yunping Chen, & Wenchao Huang. (2025). Structural Variations Contribute to Subspeciation and Yield Heterosis in Rice. Plant Biotechnology Journal.
2.
Chen, Yunping, Zhiwu Dan, & Shaoqing Li. (2024). GROWTH REGULATING FACTOR 7-mediated arbutin metabolism enhances rice salt tolerance. The Plant Cell. 36(8). 2834–2850. 17 indexed citations
3.
Zhao, Weibo, Zhiwu Dan, Yafei Zeng, et al.. (2023). The Alpha Subunit of Mitochondrial Processing Peptidase Participated in Fertility Restoration in Honglian-CMS Rice. International Journal of Molecular Sciences. 24(6). 5442–5442. 1 indexed citations
4.
Zeng, Yafei, et al.. (2022). Genome-wide identification and comprehensive analysis of tubby-like protein gene family in multiple crops. Frontiers in Plant Science. 13. 1093944–1093944. 5 indexed citations
5.
Dan, Zhiwu, Zhengqing Yuan, Ting Liang, et al.. (2022). Responses of the Lodging Resistance of Indica Rice Cultivars to Temperature and Solar Radiation under Field Conditions. Agronomy. 12(11). 2603–2603. 5 indexed citations
6.
Dan, Zhiwu, Zhengqing Yuan, Ting Liang, et al.. (2022). Evaluation of lodging resistance in rice based on an optimized parameter from lodging index. Crop Science. 62(3). 1318–1332. 19 indexed citations
7.
Zhao, Weibo, Wei Zhou, Jinmei Fu, et al.. (2022). Identification of a New Wide-Compatibility Locus in Inter-Subspecific Hybrids of Rice (Oryza sativa L.). Agronomy. 12(11). 2851–2851. 1 indexed citations
8.
Dan, Zhiwu, Ting Liang, Mingxing Cheng, et al.. (2022). OsGRP3 Enhances Drought Resistance by Altering Phenylpropanoid Biosynthesis Pathway in Rice (Oryza sativa L.). International Journal of Molecular Sciences. 23(13). 7045–7045. 31 indexed citations
9.
Dan, Zhiwu, Yunping Chen, Hui Li, et al.. (2021). The metabolomic landscape of rice heterosis highlights pathway biomarkers for predicting complex phenotypes. PLANT PHYSIOLOGY. 187(2). 1011–1025. 15 indexed citations
10.
Li, Xiaoyi, Leilei Peng, Qiannan Zhang, et al.. (2020). A simplified method to isolate rice mitochondria. Plant Methods. 16(1). 149–149. 6 indexed citations
11.
Dan, Zhiwu, Yunping Chen, Weibo Zhao, Qiong Wang, & Wenchao Huang. (2019). Metabolome-based prediction of yield heterosis contributes to the breeding of elite rice. Life Science Alliance. 3(1). e201900551–e201900551. 17 indexed citations
12.
He, Chun‐Lan, Juan Chen, Hongjian Wang, et al.. (2019). Crystal structures of rice hexokinase 6 with a series of substrates shed light on its enzymatic mechanism. Biochemical and Biophysical Research Communications. 515(4). 614–620. 4 indexed citations
13.
Dan, Zhiwu, Yunping Chen, Jun Hu, et al.. (2018). A metabolome‐based core hybridisation strategy for the prediction of rice grain weight across environments. Plant Biotechnology Journal. 17(5). 906–913. 14 indexed citations
14.
Dan, Zhiwu, Jun Hu, Wei Zhou, et al.. (2016). Metabolic prediction of important agronomic traits in hybrid rice (Oryza sativa L.). Scientific Reports. 6(1). 21732–21732. 35 indexed citations
15.
Dan, Zhiwu, Jun Hu, Wei Zhou, et al.. (2015). Hierarchical additive effects on heterosis in rice (Oryza sativa L.). Frontiers in Plant Science. 6. 738–738. 9 indexed citations
16.
Huang, Wenchao, Changchun Yu, Jun Hu, et al.. (2015). Pentatricopeptide-repeat family protein RF6 functions with hexokinase 6 to rescue rice cytoplasmic male sterility. Proceedings of the National Academy of Sciences. 112(48). 14984–14989. 127 indexed citations
17.
Dan, Zhiwu, Ping Liu, Wenchao Huang, et al.. (2014). Balance between a Higher Degree of Heterosis and Increased Reproductive Isolation: A Strategic Design for Breeding Inter-Subspecific Hybrid Rice. PLoS ONE. 9(3). e93122–e93122. 28 indexed citations
18.
19.
Wang, Kun, Feng Gao, Yan‐Xiao Ji, et al.. (2013). ORFH79 impairs mitochondrial function via interaction with a subunit of electron transport chain complex III in Honglian cytoplasmic male sterile rice. New Phytologist. 198(2). 408–418. 106 indexed citations
20.
Hu, Jun, Wenchao Huang, Qi Huang, et al.. (2013). The mechanism of ORFH79 suppression with the artificial restorer fertility gene Mt‐GRP162. New Phytologist. 199(1). 52–58. 21 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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