Jin‐Dong Fu

1.7k total citations
31 papers, 1.2k citations indexed

About

Jin‐Dong Fu is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Jin‐Dong Fu has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 9 papers in Molecular Biology and 4 papers in Agronomy and Crop Science. Recurrent topics in Jin‐Dong Fu's work include Plant Stress Responses and Tolerance (14 papers), Plant Molecular Biology Research (13 papers) and Rice Cultivation and Yield Improvement (8 papers). Jin‐Dong Fu is often cited by papers focused on Plant Stress Responses and Tolerance (14 papers), Plant Molecular Biology Research (13 papers) and Rice Cultivation and Yield Improvement (8 papers). Jin‐Dong Fu collaborates with scholars based in China, United States and South Korea. Jin‐Dong Fu's co-authors include Zhao‐Shi Xu, You‐Zhi Ma, Chang-Tao Wang, Ming Chen, Yongwei Liu, Yongbin Zhou, Meng Li, Tai‐Fei Yu, Junfeng Yang and Jing‐Na Ru and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Experimental Botany.

In The Last Decade

Jin‐Dong Fu

31 papers receiving 1.2k citations

Peers

Jin‐Dong Fu

ACS

GENET

Syed Adeel Zafar China

Jiqing Gou United States

Valentina Talamé Italy

Sarah Morran United States

Ricardo A. Chávez Montes Mexico

Waqas Malik Pakistan

Xiangbo Zhang China

William L. Patzoldt United States

Gang‐Seob Lee South Korea

Syed Adeel Zafar China

Jin‐Dong Fu

882 ×0.8

410 ×0.7

93 ×1.1

ACS

122 ×1.6

GENET

26 ×0.8

Citations per year, relative to Jin‐Dong Fu Jin‐Dong Fu (= 1×) peers Syed Adeel Zafar

Countries citing papers authored by Jin‐Dong Fu

Since Specialization

Citations

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

Fields of papers citing papers by Jin‐Dong Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Dong Fu. 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 Jin‐Dong Fu. The network helps show where Jin‐Dong Fu may publish in the future.

Co-authorship network of co-authors of Jin‐Dong Fu

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

All Works

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20 of 20 papers shown

Santini, Guido, et al.. (2023). Towards the high-quality development of City Region Food Systems: Emerging approaches in China. Cities. 135. 104212–104212. 19 indexed citations

Fu, Jin‐Dong, et al.. (2022). Investigating the Mechanical Properties and Durability of Metakaolin-Incorporated Mortar by Different Curing Methods. Materials. 15(6). 2035–2035. 17 indexed citations

Wu, Li, et al.. (2022). Sensitivities of Physical and Chemical Attributes of Soil Quality to Different Tillage Management. Agronomy. 12(5). 1153–1153. 10 indexed citations

Zhang, Yan, Zhiyong Li, Jun Chen, et al.. (2022). A soybean EF-Tu family protein GmEF8, an interactor of GmCBL1, enhances drought and heat tolerance in transgenic Arabidopsis and soybean. International Journal of Biological Macromolecules. 205. 462–472. 16 indexed citations

Huo, Tong, Chang-Tao Wang, Tai‐Fei Yu, et al.. (2021). Overexpression of ZmWRKY65 transcription factor from maize confers stress resistances in transgenic Arabidopsis. Scientific Reports. 11(1). 4024–4024. 35 indexed citations

Ma, Xiaojun, Jin‐Dong Fu, Yimiao Tang, et al.. (2020). GmNFYA13 Improves Salt and Drought Tolerance in Transgenic Soybean Plants. Frontiers in Plant Science. 11. 587244–587244. 27 indexed citations

Wang, Tingting, Tai‐Fei Yu, Jin‐Dong Fu, et al.. (2020). Genome-Wide Analysis of the GRAS Gene Family and Functional Identification of GmGRAS37 in Drought and Salt Tolerance. Frontiers in Plant Science. 11. 604690–604690. 69 indexed citations

Lamlom, Sobhi F., Yong Zhang, Hai‐Tao Wu, et al.. (2020). Map-based cloning of a novel QTL qBN-1 influencing branch number in soybean [Glycine max (L.) Merr.]. The Crop Journal. 8(5). 793–801. 21 indexed citations

Gao, Yuan, Jian Ma, Jiacheng Zheng, et al.. (2019). The Elongation Factor GmEF4 Is Involved in the Response to Drought and Salt Tolerance in Soybean. International Journal of Molecular Sciences. 20(12). 3001–3001. 27 indexed citations

10.

Li, Bo, Ying Liu, Xiyan Cui, et al.. (2019). Genome-Wide Characterization and Expression Analysis of Soybean TGA Transcription Factors Identified a Novel TGA Gene Involved in Drought and Salt Tolerance. Frontiers in Plant Science. 10. 549–549. 61 indexed citations

11.

Zhao, Mengjie, Lijuan Yin, Jian Ma, et al.. (2019). The Roles of GmERF135 in Improving Salt Tolerance and Decreasing ABA Sensitivity in Soybean. Frontiers in Plant Science. 10. 940–940. 37 indexed citations

12.

Zhao, Mengjie, Lijuan Yin, Ying Liu, et al.. (2019). The ABA-induced soybean ERF transcription factor gene GmERF75 plays a role in enhancing osmotic stress tolerance in Arabidopsis and soybean. BMC Plant Biology. 19(1). 506–506. 43 indexed citations

13.

Wang, Chang-Tao, Jing‐Na Ru, Yongwei Liu, et al.. (2018). The Maize WRKY Transcription Factor ZmWRKY40 Confers Drought Resistance in Transgenic Arabidopsis. International Journal of Molecular Sciences. 19(9). 2580–2580. 106 indexed citations

14.

Zhang, Huiyuan, Yongwei Liu, Jun Chen, et al.. (2018). Identification and analysis of salt tolerance of wheat transcription factor TaWRKY33 protein.. Zhongguo nongye Kexue. 51(24). 4591–4602. 1 indexed citations

15.

Yu, Tai‐Fei, Wanying Zhao, Jin‐Dong Fu, et al.. (2018). Genome-Wide Analysis of CDPK Family in Foxtail Millet and Determination of SiCDPK24 Functions in Drought Stress. Frontiers in Plant Science. 9. 651–651. 72 indexed citations

16.

Cui, Xiaoyu, Jin‐Dong Fu, Tai‐Fei Yu, et al.. (2018). Wheat CBL-interacting protein kinase 23 positively regulates drought stress and ABA responses. BMC Plant Biology. 18(1). 93–93. 92 indexed citations

17.

Yu, Tai‐Fei, Zhao‐Shi Xu, Jinkao Guo, et al.. (2017). Improved drought tolerance in wheat plants overexpressing a synthetic bacterial cold shock protein gene SeCspA. Scientific Reports. 7(1). 44050–44050. 77 indexed citations

18.

Fu, Jin‐Dong, et al.. (2007). Rice Bran Application under Deep Flooding can Control Weed and Increase Grain Yield in Organic Rice Culture. Journal of Crop Science and Biotechnology. 10(2). 79–85. 4 indexed citations

19.

Fu, Jin‐Dong, et al.. (2006). Determining nitrogen topdressing rate at panicle initiation stage of rice based on vegetation index and SPAD reading.. The Korean Journal of Crop Science. 51(5). 386–395. 5 indexed citations

20.

Fu, Jin‐Dong, et al.. (2006). Yield response to nitrogen topdress rate at panicle initiation stage under different growth and nitrogen nutrition status of rice plant.. The Korean Journal of Crop Science. 51(7). 571–583. 2 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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