Pan Gong

801 total citations
24 papers, 459 citations indexed

About

Pan Gong is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Pan Gong has authored 24 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 12 papers in Molecular Biology and 5 papers in Endocrinology. Recurrent topics in Pan Gong's work include Plant Virus Research Studies (13 papers), Plant-Microbe Interactions and Immunity (6 papers) and Plant and Fungal Interactions Research (5 papers). Pan Gong is often cited by papers focused on Plant Virus Research Studies (13 papers), Plant-Microbe Interactions and Immunity (6 papers) and Plant and Fungal Interactions Research (5 papers). Pan Gong collaborates with scholars based in China, Germany and Canada. Pan Gong's co-authors include Fangfang Li, Xueping Zhou, Hao Li, Siwen Zhao, Rosa Lozano‐Durán, Xing Fu, Gang Pan, Fudeng Huang, Kunyu Li and Xi Zhang and has published in prestigious journals such as Nature Communications, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Pan Gong

24 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Gong China 13 414 155 70 65 43 24 459
João Paulo Machado Brazil 13 627 1.5× 234 1.5× 70 1.0× 59 0.9× 30 0.7× 27 740
Zhongxin Guo China 11 561 1.4× 344 2.2× 108 1.5× 88 1.4× 34 0.8× 15 716
Kristen Willie United States 10 306 0.7× 87 0.6× 89 1.3× 117 1.8× 24 0.6× 16 322
Heather J. Gladfelter United States 7 319 0.8× 115 0.7× 69 1.0× 39 0.6× 37 0.9× 12 343
Ching‐Hsiu Tsai Taiwan 11 313 0.8× 145 0.9× 84 1.2× 34 0.5× 29 0.7× 20 405
Zhike Feng China 15 503 1.2× 145 0.9× 128 1.8× 141 2.2× 54 1.3× 33 571
Cecilia Sarmiento Estonia 10 307 0.7× 102 0.7× 99 1.4× 92 1.4× 26 0.6× 17 370
Livia Stavolone Italy 16 520 1.3× 157 1.0× 108 1.5× 89 1.4× 62 1.4× 32 607

Countries citing papers authored by Pan Gong

Since Specialization
Citations

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

Fields of papers citing papers by Pan Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Gong. A scholar is included among the top collaborators of Pan 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 Pan Gong. Pan 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.
Gong, Pan, Min Gao, Yalin Chen, et al.. (2025). Cucumber green mottle mosaic virus encodes additional small proteins with specific subcellular localizations and virulence function. Science China Life Sciences. 68(6). 1815–1827. 2 indexed citations
2.
Gong, Pan, et al.. (2025). Functional Characterization of Dual-Initiation Codon-Derived V2 Proteins in Tomato Yellow Leaf Curl Virus. Agronomy. 15(7). 1726–1726. 1 indexed citations
3.
Gong, Pan, et al.. (2023). Geminivirus C5 proteins mediate formation of virus complexes at plasmodesmata for viral intercellular movement. PLANT PHYSIOLOGY. 193(1). 322–338. 17 indexed citations
4.
Ge, Linhao, Hongguang Cui, Shaofang Li, et al.. (2023). SUMOylation-modified Pelota-Hbs1 RNA surveillance complex restricts the infection of potyvirids in plants. Molecular Plant. 16(3). 632–642. 27 indexed citations
5.
Gong, Pan, Qingtang Shen, Jing Jiang, et al.. (2023). Plant and animal positive-sense single-stranded RNA viruses encode small proteins important for viral infection in their negative-sense strand. Molecular Plant. 16(11). 1794–1810. 25 indexed citations
6.
Zhao, Siwen, et al.. (2023). Functional identification of a novel C7 protein of tomato yellow leaf curl virus. Virology. 585. 117–126. 23 indexed citations
7.
Zhao, Siwen, Pan Gong, Hui Liu, et al.. (2022). The novel C5 protein from tomato yellow leaf curl virus is a virulence factor and suppressor of gene silencing. Stress Biology. 2(1). 19–19. 42 indexed citations
8.
Zhang, Mingzhen, Pan Gong, Linhao Ge, et al.. (2022). Nuclear Exportin 1 (XPO1) Binds to the Nuclear Localization/Export Signal of the Turnip Mosaic Virus NIb to Promote Viral Infection. Frontiers in Microbiology. 12. 780724–780724. 5 indexed citations
9.
10.
Gong, Pan, Huang Tan, Siwen Zhao, et al.. (2021). Geminiviruses encode additional small proteins with specific subcellular localizations and virulence function. Nature Communications. 12(1). 4278–4278. 98 indexed citations
11.
Shi, Kun, Xiqiang Liu, Pan Gong, et al.. (2021). Unveiling the Complexity of Red Clover (Trifolium pratense L.) Transcriptome and Transcriptional Regulation of Isoflavonoid Biosynthesis Using Integrated Long- and Short-Read RNAseq. International Journal of Molecular Sciences. 22(23). 12625–12625. 4 indexed citations
12.
Zhou, Tingting, et al.. (2021). Selective autophagic receptor NbNBR1 prevents NbRFP1-mediated UPS-dependent degradation of βC1 to promote geminivirus infection. PLoS Pathogens. 17(9). e1009956–e1009956. 19 indexed citations
13.
Li, Hao, Fangfang Li, Mingzhen Zhang, Pan Gong, & Xueping Zhou. (2020). Dynamic Subcellular Localization, Accumulation, and Interactions of Proteins From Tomato Yellow Leaf Curl China Virus and Its Associated Betasatellite. Frontiers in Plant Science. 11. 840–840. 12 indexed citations
14.
15.
Gong, Pan, Fudeng Huang, Yaodong Chen, et al.. (2019). Disruption of a Upf1-like helicase-encoding gene OsPLS2 triggers light-dependent premature leaf senescence in rice. Plant Molecular Biology. 100(1-2). 133–149. 8 indexed citations
16.
Ma, Lin, et al.. (2018). Development and application of EST–SSRs markers for analysis of genetic diversity in erect milkvetch (Astragalus adsurgens Pall.). Molecular Biology Reports. 46(1). 1323–1326. 10 indexed citations
17.
Chen, Min, Yunqi Wang, Xiqiang Liu, et al.. (2017). Identification of genetic loci associated with crude protein and mineral concentrations in alfalfa (Medicago sativa) using association mapping. BMC Plant Biology. 17(1). 97–97. 23 indexed citations
18.
Yang, Xi, Pan Gong, Kunyu Li, et al.. (2016). A single cytosine deletion in theOsPLS1gene encoding vacuolar-type H+-ATPase subunit A1 leads to premature leaf senescence and seed dormancy in rice. Journal of Experimental Botany. 67(9). 2761–2776. 42 indexed citations
19.
Zhao, Jiayin, Yun Tian, Jinsong Zhang, et al.. (2013). The euAP1 Protein MPF3 Represses MPF2 to Specify Floral Calyx Identity and Displays Crucial Roles in Chinese Lantern Development in Physalis. The Plant Cell. 25(6). 2002–2021. 29 indexed citations
20.
Gong, Pan, et al.. (1992). Life tables of the armyworm, Mythimna separata (Walker), at different temperatures and its thermal requirement for development. Acta Entomologica Sinica. 35(4). 415–421. 4 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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