Daping Gong

1.3k total citations
29 papers, 684 citations indexed

About

Daping Gong is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Daping Gong has authored 29 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Plant Science and 6 papers in Pharmacology. Recurrent topics in Daping Gong's work include Photosynthetic Processes and Mechanisms (9 papers), Plant Molecular Biology Research (6 papers) and Microbial Natural Products and Biosynthesis (4 papers). Daping Gong is often cited by papers focused on Photosynthetic Processes and Mechanisms (9 papers), Plant Molecular Biology Research (6 papers) and Microbial Natural Products and Biosynthesis (4 papers). Daping Gong collaborates with scholars based in China and Belgium. Daping Gong's co-authors include Huijie Zhang, Ping Zhao, Qingyou Xia, Zhonghuai Xiang, Ying Lin, Minmin Xie, Jinhao Sun, Yingzhen Kong, Ning Yan and Yongmei Du and has published in prestigious journals such as The Plant Cell, Gene and Frontiers in Plant Science.

In The Last Decade

Daping Gong

27 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daping Gong China 9 344 279 265 259 210 29 684
Herbert Venthur Chile 14 362 1.1× 343 1.2× 187 0.7× 160 0.6× 132 0.6× 31 602
Adrien Fónagy Hungary 16 557 1.6× 564 2.0× 276 1.0× 249 1.0× 151 0.7× 53 849
Young-Moo Choo United States 10 310 0.9× 286 1.0× 160 0.6× 139 0.5× 104 0.5× 18 513
Stéphane Debernard France 16 515 1.5× 452 1.6× 247 0.9× 281 1.1× 64 0.3× 45 796
Marion J. Healy Australia 15 321 0.9× 213 0.8× 246 0.9× 358 1.4× 198 0.9× 29 786
Xinnian Zeng China 18 177 0.5× 673 2.4× 134 0.5× 337 1.3× 468 2.2× 63 966
Marie‐Cécile Dufour France 19 266 0.8× 401 1.4× 176 0.7× 154 0.6× 520 2.5× 28 1.0k
Julie A. Tillman United States 9 216 0.6× 530 1.9× 275 1.0× 268 1.0× 155 0.7× 10 841
Kacem Rharrabe Morocco 13 118 0.3× 245 0.9× 62 0.2× 180 0.7× 240 1.1× 28 431
Cheng Qu China 16 189 0.5× 581 2.1× 102 0.4× 342 1.3× 308 1.5× 72 762

Countries citing papers authored by Daping Gong

Since Specialization
Citations

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

Fields of papers citing papers by Daping Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daping Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Daping Gong. A scholar is included among the top collaborators of Daping Gong 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 Daping Gong. Daping Gong 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.
Sun, Quan, Bing Hou, Xinghui Liu, et al.. (2025). Single-cell transcriptome sequencing reveals the sphingolipid metabolism pathway plays an important role in leaf senescence in tobacco. BMC Plant Biology. 25(1). 1026–1026.
2.
Xie, Minmin, Anming Ding, Yongfeng Guo, et al.. (2024). The transcription factors ZAT5 and BLH2/4 regulate homogalacturonan demethylesterification in Arabidopsis seed coat mucilage. The Plant Cell. 36(10). 4491–4510. 3 indexed citations
3.
Liu, Wenyu, Ping Zhang, Yulong Su, et al.. (2024). Bioactivity Isochromenes from Cigar Tobacco-Derived Endophytic Fungus Aspergillus fumigatus. Chemistry of Natural Compounds. 60(3). 435–439. 3 indexed citations
4.
Chen, Mingli, Zhiyuan Li, Zhe Zhang, et al.. (2024). Comparative transcriptome analysis reveals genes involved in trichome development and metabolism in tobacco. BMC Plant Biology. 24(1). 541–541. 3 indexed citations
5.
Chen, Mingli, Siyu Shen, Zhiyuan Li, et al.. (2024). CRISPR/Cas9-Mediated Targeted Mutagenesis of Betaine Aldehyde Dehydrogenase 2 (BADH2) in Tobacco Affects 2-Acetyl-1-pyrroline. Agronomy. 14(2). 321–321. 2 indexed citations
6.
Wu, Yu-Ping, Wei Li, Daping Gong, et al.. (2023). Two New Antibacterial Naphthoquinones from a Cigar Tobacco-Derived Endophytic Fusarium solani. Chemistry of Natural Compounds. 59(6). 1051–1055.
7.
Wu, Yu-Ping, Wei Li, Daping Gong, et al.. (2023). Two New Isoquinolines from Cigar Tobacco-Derived Endophytic Fungi Aspergillus puniceus and Their Antibacterial Activity. Chemistry of Natural Compounds. 59(6). 1142–1146. 2 indexed citations
8.
Hou, Bing, Xiaohong Chen, Yu Wang, et al.. (2023). The Bcl-2-associated athanogene gene family in tobacco (Nicotiana tabacum) and the function of NtBAG5 in leaf senescence. Frontiers in Plant Science. 14. 1108588–1108588. 7 indexed citations
9.
Liu, Xiaoshan, Siyu Shen, Xiaowei Ma, et al.. (2023). Two New Chromones from Cassia auriculata and Their Antiviral Activity. Chemistry of Natural Compounds. 59(3). 467–471. 7 indexed citations
10.
Wang, Yu, et al.. (2022). Genome-wide analysis and identification of the PEBP genes of Brassica juncea var. Tumida. BMC Genomics. 23(1). 535–535. 7 indexed citations
11.
Xie, Xiaodong, Peijian Cao, Zhong Wang, et al.. (2021). Genome-wide characterization and expression profiling of the PDR gene family in tobacco (Nicotiana tabacum). Gene. 788. 145637–145637. 9 indexed citations
12.
He, Xiaohong, et al.. (2020). Genome-wide identification and characterization of TCP family genes in Brassica juncea var. tumida. PeerJ. 8. e9130–e9130. 12 indexed citations
13.
14.
Gong, Daping, Long Huang, Chuanyi Wang, et al.. (2016). Construction of a high-density SNP genetic map in flue-cured tobacco based on SLAF-seq. Molecular Breeding. 36(7). 26 indexed citations
15.
Ding, Anming, Ling Li, Tingting Sun, et al.. (2014). Genome-wide identification and bioinformatic analysis of PPR gene family in tomato. Hereditas (Beijing). 36(1). 77–84. 7 indexed citations
16.
Liu, Feng, Daping Gong, Qian Zhang, et al.. (2014). High-throughput generation of an activation-tagged mutant library for functional genomic analyses in tobacco. Planta. 241(3). 629–640. 7 indexed citations
17.
Ding, Anming, et al.. (2014). Homology-based cloning and expression analysis of Rf genes encoding PPR-containing proteins in tobacco. Genetics and Molecular Research. 13(1). 2310–2322. 4 indexed citations
18.
Xie, Minmin, et al.. (2013). Genome-wide analysis of cytochrome P450 monooxygenase genes in the tobacco. Hereditas (Beijing). 35(3). 379–387. 8 indexed citations
19.
Gong, Daping, Huijie Zhang, Ping Zhao, Qingyou Xia, & Zhonghuai Xiang. (2009). The Odorant Binding Protein Gene Family from the Genome of Silkworm, Bombyx mori. BMC Genomics. 10(1). 332–332. 216 indexed citations
20.
Gong, Daping, Huijie Zhang, Ping Zhao, et al.. (2006). Identification and expression pattern of the chemosensory protein gene family in the silkworm, Bombyx mori. Insect Biochemistry and Molecular Biology. 37(3). 266–277. 155 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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