Hong Di

589 total citations
30 papers, 395 citations indexed

About

Hong Di is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Hong Di has authored 30 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 11 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Hong Di's work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Plant Stress Responses and Tolerance (7 papers) and Genetics and Plant Breeding (7 papers). Hong Di is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (11 papers), Plant Stress Responses and Tolerance (7 papers) and Genetics and Plant Breeding (7 papers). Hong Di collaborates with scholars based in China and United States. Hong Di's co-authors include Zhenhua Wang, Yu Zhou, Xing Zeng, Ling Dong, Xinhai Li, Jianfeng Weng, Lin Zhang, Zhoufei Wang, Hong Zhang and Qingyu Xu and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Hong Di

29 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Di China 11 354 144 110 49 18 30 395
Ghanta Anuradha India 13 625 1.8× 175 1.2× 84 0.8× 50 1.0× 16 0.9× 18 664
Divya Balakrishnan India 15 605 1.7× 311 2.2× 65 0.6× 47 1.0× 11 0.6× 79 665
Houmiao Wang China 14 356 1.0× 92 0.6× 98 0.9× 48 1.0× 7 0.4× 24 387
C. Anilkumar India 11 369 1.0× 140 1.0× 64 0.6× 18 0.4× 5 0.3× 57 400
Terence Molnar Mexico 9 358 1.0× 173 1.2× 45 0.4× 38 0.8× 6 0.3× 12 405
Sonia Hamza Tunisia 11 456 1.3× 126 0.9× 153 1.4× 12 0.2× 14 0.8× 22 512
Marta Zulema Galván Argentina 11 347 1.0× 60 0.4× 54 0.5× 30 0.6× 16 0.9× 27 409
Baoshen Liu China 10 311 0.9× 127 0.9× 130 1.2× 45 0.9× 3 0.2× 31 357
Akshay Talukdar India 13 515 1.5× 112 0.8× 109 1.0× 20 0.4× 4 0.2× 91 566
Hanif Khan India 14 536 1.5× 165 1.1× 146 1.3× 95 1.9× 4 0.2× 51 583

Countries citing papers authored by Hong Di

Since Specialization
Citations

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

Fields of papers citing papers by Hong Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Di

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Di. A scholar is included among the top collaborators of Hong Di 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 Hong Di. Hong Di 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.
Xu, Qingyu, Lingzhi Meng, Hong Di, et al.. (2025). ZmBARK1 as a low-temperature tolerance gene in maize germination. The Crop Journal. 13(4). 1197–1209. 1 indexed citations
2.
Li, Chunxiang, Yongfeng Song, Xiao Han, et al.. (2024). GWAS analysis reveals candidate genes associated with density tolerance (ear leaf structure) in maize (Zea mays L.). Journal of Integrative Agriculture. 24(6). 2046–2062. 4 indexed citations
3.
Gao, Yansong, Xiaoming Zhang, Lin Zhang, et al.. (2024). Physiological Mechanisms Underlying Tassel Symptom Formation in Maize Infected with Sporisorium reilianum. Plants. 13(2). 238–238. 2 indexed citations
4.
Liu, Xuesheng, Xing Zeng, Yuhang Zhu, et al.. (2023). Degradation of betaine aldehyde dehydrogenase transgenic maize BZ-136 straw and its effects on soil nutrients and fungal community. Frontiers in Microbiology. 14. 1180310–1180310. 4 indexed citations
5.
Zhang, Hong, Simeng Zhang, Hong Di, et al.. (2023). The G protein-coupled receptor COLD1 promotes chilling tolerance in maize during germination. International Journal of Biological Macromolecules. 253(Pt 3). 126877–126877. 11 indexed citations
6.
Hu, Yingying, Chunxiang Li, Runyu Zhou, et al.. (2023). The Transcription Factor ZmNAC89 Gene Is Involved in Salt Tolerance in Maize (Zea mays L.). International Journal of Molecular Sciences. 24(20). 15099–15099. 9 indexed citations
7.
Zhou, Yu, Qing Lu, Simeng Zhang, et al.. (2022). Genome-Wide Profiling of Alternative Splicing and Gene Fusion during Rice Black-Streaked Dwarf Virus Stress in Maize (Zea mays L.). Genes. 13(3). 456–456. 13 indexed citations
8.
Li, Chunxiang, Yue Jia, Liwei Liu, et al.. (2022). GWAS and RNA-seq analysis uncover candidate genes associated with alkaline stress tolerance in maize (Zea mays L.) seedlings. Frontiers in Plant Science. 13. 963874–963874. 13 indexed citations
9.
Xu, Qingyu, Xuerui Wang, Yuhe Wang, et al.. (2022). Combined QTL mapping and RNA-Seq pro-filing reveal candidate genes related to low-temperature tolerance in maize. Molecular Breeding. 42(6). 33–33. 6 indexed citations
10.
Zhou, Yu, Qing Lu, Dandan Wang, et al.. (2022). Using a high density bin map to analyze quantitative trait locis of germination ability of maize at low temperatures. Frontiers in Plant Science. 13. 978941–978941. 2 indexed citations
11.
Zhang, Simeng, Qingyu Xu, Hong Di, et al.. (2022). Global Landscape of Alternative Splicing in Maize Response to Low Temperature. Journal of Agricultural and Food Chemistry. 70(50). 15715–15725. 10 indexed citations
12.
Zhang, Hong, Qingyu Xu, Dandan Wang, et al.. (2020). Identification of candidate tolerance genes to low-temperature during maize germination by GWAS and RNA-seq approaches. BMC Plant Biology. 20(1). 333–333. 80 indexed citations
13.
Zhao, Jia, Bin Yang, Wen‐Jun Li, et al.. (2020). A genome-wide association study reveals that the glucosyltransferase OsIAGLU regulates root growth in rice. Journal of Experimental Botany. 72(4). 1119–1134. 18 indexed citations
14.
Zhang, Hong, Hong Di, Lin Zhang, et al.. (2019). Molecular characteristics of segment 5, a unique fragment encoding two partially overlapping ORFs in the genome of rice black-streaked dwarf virus. PLoS ONE. 14(11). e0224569–e0224569. 6 indexed citations
15.
Zhou, Yu, Xiaoming Zhang, Dandan Wang, et al.. (2017). Differences in Molecular Characteristics of Segment 8 in Rice black-streaked dwarf virus and Southern rice black-streaked dwarf virus. Plant Disease. 102(6). 1115–1123. 6 indexed citations
16.
17.
Zhou, Zhiqiang, Yu Zhou, Zhuanfang Hao, et al.. (2016). Genetic dissection of maize plant architecture with an ultra-high density bin map based on recombinant inbred lines. BMC Genomics. 17(1). 178–178. 86 indexed citations
18.
Zeng, Xing, et al.. (2016). Effect on Soil Properties ofBcWRKY1Transgenic Maize with Enhanced Salinity Tolerance. International Journal of Genomics. 2016. 1–13. 3 indexed citations
19.
Di, Hong, et al.. (2015). Enhanced salinity tolerance in transgenic maize plants expressing a BADH gene from Atriplex micrantha. Euphytica. 206(3). 775–783. 28 indexed citations
20.
Di, Hong, et al.. (2009). Studies on Agrobacterium-mediated transformation of potato with ODREB2B gene.. Zhongguo shucai. 20–25. 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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