Shaogui Guo

4.9k total citations
48 papers, 2.5k citations indexed

About

Shaogui Guo is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Shaogui Guo has authored 48 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 26 papers in Molecular Biology and 17 papers in Genetics. Recurrent topics in Shaogui Guo's work include Plant Molecular Biology Research (18 papers), Advances in Cucurbitaceae Research (17 papers) and Plant Virus Research Studies (10 papers). Shaogui Guo is often cited by papers focused on Plant Molecular Biology Research (18 papers), Advances in Cucurbitaceae Research (17 papers) and Plant Virus Research Studies (10 papers). Shaogui Guo collaborates with scholars based in China, United States and Germany. Shaogui Guo's co-authors include Yong Xu, Haiying Zhang, Guoyi Gong, Yi Ren, Jie Zhang, Honghe Sun, Shouwei Tian, Zhangjun Fei, Maoying Li and Mei Zong and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Plant Cell.

In The Last Decade

Shaogui Guo

48 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaogui Guo China 28 2.0k 1.3k 843 247 116 48 2.5k
Guoyi Gong China 26 1.7k 0.8× 1.1k 0.8× 739 0.9× 203 0.8× 54 0.5× 48 2.0k
Satoshi Natsume Japan 17 2.6k 1.3× 1.2k 0.9× 1.0k 1.2× 100 0.4× 184 1.6× 27 3.1k
Muluneh Tamiru Japan 16 2.6k 1.3× 1.2k 0.9× 994 1.2× 86 0.3× 133 1.1× 24 3.0k
Xingfang Gu China 24 1.7k 0.8× 867 0.7× 1.1k 1.3× 676 2.7× 64 0.6× 80 2.2k
Kenta Shirasawa Japan 37 3.6k 1.8× 1.9k 1.5× 773 0.9× 139 0.6× 233 2.0× 191 4.3k
James P. Prince United States 16 2.3k 1.1× 828 0.6× 470 0.6× 156 0.6× 188 1.6× 23 2.5k
Michael J. Havey United States 35 3.1k 1.5× 1.4k 1.1× 792 0.9× 344 1.4× 144 1.2× 153 3.7k
Galil Tzuri Israel 22 1.1k 0.6× 611 0.5× 817 1.0× 307 1.2× 126 1.1× 37 1.8k
Douglas Senalik United States 27 1.5k 0.7× 1.2k 0.9× 652 0.8× 109 0.4× 247 2.1× 54 2.3k
Byoung‐Cheorl Kang South Korea 37 3.7k 1.8× 1.6k 1.3× 449 0.5× 113 0.5× 125 1.1× 162 4.3k

Countries citing papers authored by Shaogui Guo

Since Specialization
Citations

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

Fields of papers citing papers by Shaogui Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaogui Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Shaogui Guo. A scholar is included among the top collaborators of Shaogui Guo 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 Shaogui Guo. Shaogui Guo 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.
Wang, Jinfang, Yongtao Yu, Shaogui Guo, et al.. (2024). A natural variant of NON-RIPENING promotes fruit ripening in watermelon. The Plant Cell. 37(1). 4 indexed citations
2.
Yu, Yongtao, Yi Ren, Jie Zhang, et al.. (2023). Comprehensive Profiling of Alternative Splicing and Alternative Polyadenylation during Fruit Ripening in Watermelon (Citrullus lanatus). International Journal of Molecular Sciences. 24(20). 15333–15333. 3 indexed citations
3.
Wang, Jinfang, Yanping Wang, Yongtao Yu, et al.. (2023). ClSnRK2.3 negatively regulates watermelon fruit ripening and sugar accumulation. Journal of Integrative Plant Biology. 65(10). 2336–2348. 13 indexed citations
4.
Yu, Yongtao, Sergi Portolés, Yi Ren, et al.. (2022). The key clock component ZEITLUPE (ZTL) negatively regulates ABA signaling by degradation of CHLH in Arabidopsis. Frontiers in Plant Science. 13. 995907–995907. 7 indexed citations
5.
Ren, Yi, Maoying Li, Shaogui Guo, et al.. (2021). Evolutionary gain of oligosaccharide hydrolysis and sugar transport enhanced carbohydrate partitioning in sweet watermelon fruits. The Plant Cell. 33(5). 1554–1573. 76 indexed citations
6.
Wang, Jinfang, Yanping Wang, Jie Zhang, et al.. (2021). The NAC transcription factor ClNAC68 positively regulates sugar content and seed development in watermelon by repressing ClINV and ClGH3.6. Horticulture Research. 8(1). 214–214. 68 indexed citations
7.
Wang, Yanping, Jinfang Wang, Shaogui Guo, et al.. (2021). CRISPR/Cas9-mediated mutagenesis of ClBG1 decreased seed size and promoted seed germination in watermelon. Horticulture Research. 8(1). 70–70. 40 indexed citations
8.
Li, Maoying, Shaogui Guo, Jie Zhang, et al.. (2021). Sugar transporter VST1 knockout reduced aphid damage in watermelon. Plant Cell Reports. 41(1). 277–279. 3 indexed citations
9.
Guo, Shaogui, Honghe Sun, Jiaxing Tian, et al.. (2021). Grafting Delays Watermel on Fruit Ripening by Altering Gene Expression of ABA Centric Phytohormone Signaling. Frontiers in Plant Science. 12. 624319–624319. 6 indexed citations
10.
Guo, Shaogui, Honghe Sun, Yong Xu, & Zhangjun Fei. (2020). Citrullus lanatus. Trends in Genetics. 36(6). 456–457. 7 indexed citations
11.
Wang, Yanping, Shaogui Guo, Shouwei Tian, et al.. (2017). Abscisic acid pathway involved in the regulation of watermelon fruit ripening and quality trait evolution. PLoS ONE. 12(6). e0179944–e0179944. 38 indexed citations
12.
Zhang, Jie, Haiying Zhang, Honghe Sun, et al.. (2016). Mutation in the gene encoding 1‐aminocyclopropane‐1‐carboxylate synthase 4 (CitACS4) led to andromonoecy in watermelon. Journal of Integrative Plant Biology. 58(9). 762–765. 28 indexed citations
13.
Zhang, Haiying, Shaogui Guo, Yi Ren, et al.. (2016). Genetic Diversity, Population Structure, and Formation of a Core Collection of 1197 Citrullus Accessions. HortScience. 51(1). 23–29. 27 indexed citations
14.
Guo, Shaogui, Honghe Sun, Haiying Zhang, et al.. (2015). Comparative Transcriptome Analysis of Cultivated and Wild Watermelon during Fruit Development. PLoS ONE. 10(6). e0130267–e0130267. 94 indexed citations
15.
Zhang, Guoyu, Yi Ren, Honghe Sun, et al.. (2015). A high-density genetic map for anchoring genome sequences and identifying QTLs associated with dwarf vine in pumpkin (Cucurbita maxima Duch.). BMC Genomics. 16(1). 1101–1101. 57 indexed citations
16.
Ren, Yi, Cecilia McGregor, Yan Zhang, et al.. (2014). An integrated genetic map based on four mapping populations and quantitative trait loci associated with economically important traits in watermelon (Citrullus lanatus). BMC Plant Biology. 14(1). 33–33. 87 indexed citations
17.
Ren, Yi, Hong Zhao, Jiao Jiang, et al.. (2012). A High Resolution Genetic Map Anchoring Scaffolds of the Sequenced Watermelon Genome. PLoS ONE. 7(1). e29453–e29453. 115 indexed citations
18.
Zhang, Haiying, Shaogui Guo, Guoyi Gong, et al.. (2011). Sources of Resistance to Race 2WF Powdery Mildew in U.S. Watermelon Plant Introductions. HortScience. 46(10). 1349–1352. 15 indexed citations
19.
Zhang, Haiying, et al.. (2011). Screening the USDA Watermelon Germplasm Collection for Drought Tolerance at the Seedling Stage. HortScience. 46(9). 1245–1248. 34 indexed citations
20.
Guo, Shaogui, Yi Zheng, Je‐Gun Joung, et al.. (2010). Transcriptome sequencing and comparative analysis of cucumber flowers with different sex types. BMC Genomics. 11(1). 384–384. 158 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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