Jianbin Guo

1.3k total citations
39 papers, 897 citations indexed

About

Jianbin Guo is a scholar working on Plant Science, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, Jianbin Guo has authored 39 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 15 papers in Inorganic Chemistry and 12 papers in Molecular Biology. Recurrent topics in Jianbin Guo's work include Peanut Plant Research Studies (22 papers), Coconut Research and Applications (15 papers) and Agricultural pest management studies (10 papers). Jianbin Guo is often cited by papers focused on Peanut Plant Research Studies (22 papers), Coconut Research and Applications (15 papers) and Agricultural pest management studies (10 papers). Jianbin Guo collaborates with scholars based in China, India and Australia. Jianbin Guo's co-authors include Fuhua Yan, Nian Liu, Li Huang, Huifang Jiang, Huaiyong Luo, Boshou Liao, Yong Lei, Xiaojing Zhou, Weigang Chen and Bin Chen and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Plant Science and Theoretical and Applied Genetics.

In The Last Decade

Jianbin Guo

37 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianbin Guo China 15 458 329 184 100 51 39 897
Katarina Smiljanić Serbia 14 64 0.1× 158 0.5× 34 0.2× 7 0.1× 15 0.3× 31 619
Zhanhai Yu China 9 158 0.3× 155 0.5× 4 0.0× 39 0.4× 75 1.5× 19 552
Yohtaro Katagata Japan 16 49 0.1× 217 0.7× 11 0.1× 9 0.1× 25 0.5× 40 688
Zhen Meng China 12 85 0.2× 165 0.5× 7 0.0× 8 0.1× 66 1.3× 35 517
Hongmei Niu China 16 136 0.3× 280 0.9× 5 0.0× 14 0.1× 26 0.5× 45 622
Tomoko Higuchi Japan 19 68 0.1× 354 1.1× 8 0.0× 12 0.1× 22 0.4× 48 1.0k
Donglin Hao China 11 98 0.2× 143 0.4× 11 0.1× 5 0.1× 21 0.4× 20 450
Dongsheng Wang China 11 48 0.1× 275 0.8× 7 0.0× 14 0.1× 19 0.4× 22 452
Hyeon‐Jeong Lee South Korea 17 145 0.3× 246 0.7× 6 0.0× 6 0.1× 11 0.2× 49 628
Soon‐Jeong Jeong South Korea 12 48 0.1× 144 0.4× 5 0.0× 36 0.4× 57 1.1× 58 430

Countries citing papers authored by Jianbin Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jianbin Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianbin Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jianbin Guo. A scholar is included among the top collaborators of Jianbin 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 Jianbin Guo. Jianbin 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.
Guo, Yongqing, et al.. (2025). Three‐dimensional craniofacial morphology predicts periodontal tissue dimensions using the facial scanner. Journal of Periodontology. 97(1). 74–84.
2.
Guo, Jianbin, et al.. (2024). Effects and mechanisms of Porphyromonas gingivalis outer membrane vesicles induced cardiovascular injury. BMC Oral Health. 24(1). 112–112. 8 indexed citations
3.
4.
Huang, Li, Nian Liu, Yuning Chen, et al.. (2023). Identification of a stable major sucrose-related QTL and diagnostic marker for flavor improvement in peanut. Theoretical and Applied Genetics. 136(4). 78–78. 7 indexed citations
5.
Huang, Li, Nian Liu, Manish K. Pandey, et al.. (2021). Key Regulators of Sucrose Metabolism Identified through Comprehensive Comparative Transcriptome Analysis in Peanuts. International Journal of Molecular Sciences. 22(14). 7266–7266. 22 indexed citations
6.
Luo, Huaiyong, Jianbin Guo, Weigang Chen, et al.. (2021). Construction of ddRADseq-Based High-Density Genetic Map and Identification of Quantitative Trait Loci for Trans-resveratrol Content in Peanut Seeds. Frontiers in Plant Science. 12. 644402–644402. 13 indexed citations
7.
Liu, Nian, Li Huang, Weigang Chen, et al.. (2020). Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping. BMC Genetics. 21(1). 60–60. 8 indexed citations
8.
Luo, Huaiyong, Haiwen Chen, Jianbin Guo, et al.. (2020). Optimization of extraction of total trans‐resveratrol from peanut seeds and its determination by HPLC. Journal of Separation Science. 43(6). 1024–1031. 22 indexed citations
9.
Luo, Huaiyong, Manish K. Pandey, Zhi Ye, et al.. (2020). Discovery of two novel and adjacent QTLs on chromosome B02 controlling resistance against bacterial wilt in peanut variety Zhonghua 6. Theoretical and Applied Genetics. 133(4). 1133–1148. 13 indexed citations
10.
Guo, Jianbin, Weigang Chen, Li Huang, et al.. (2019). Stability of major fatty acids contents of peanut varieties grown in different ecological regions. ACTA AGRONOMICA SINICA. 45(5). 676–682.
11.
Luo, Huaiyong, Manish K. Pandey, Aamir W. Khan, et al.. (2019). Next‐generation sequencing identified genomic region and diagnostic markers for resistance to bacterial wilt on chromosome B02 in peanut (Arachis hypogaea L.). Plant Biotechnology Journal. 17(12). 2356–2369. 48 indexed citations
12.
Liu, Nian, Jianbin Guo, Xiaojing Zhou, et al.. (2019). High-resolution mapping of a major and consensus quantitative trait locus for oil content to a ~ 0.8-Mb region on chromosome A08 in peanut (Arachis hypogaea L.). Theoretical and Applied Genetics. 133(1). 37–49. 39 indexed citations
13.
Guo, Jianbin, et al.. (2019). Nicotinamide‐induced silencing of SIRT1 by miR‐22‐3p increases periodontal ligament stem cell proliferation and differentiation. Cell Biology International. 44(3). 764–772. 12 indexed citations
14.
Chen, Weigang, Jianbin Guo, Li Huang, et al.. (2018). QTL Mapping for Shelling Percentage and Plant Height in Cultivated Peanut (Arachis hypogaea L.). ACTA AGRONOMICA SINICA. 44(8). 1142–1151. 1 indexed citations
15.
Luo, Huaiyong, Manish K. Pandey, Aamir W. Khan, et al.. (2018). Discovery of genomic regions and candidate genes controlling shelling percentage using QTL‐seq approach in cultivated peanut (Arachis hypogaea L.). Plant Biotechnology Journal. 17(7). 1248–1260. 58 indexed citations
16.
Li, Yanfen, Jianbin Guo, Jun Jiang, et al.. (2017). Effect of local hIL-10 gene therapy on experimental periodontitis in ovariectomized rats. Acta Odontologica Scandinavica. 75(4). 268–279. 6 indexed citations
17.
Luo, Huaiyong, Jianbin Guo, Xiaoping Ren, et al.. (2017). Chromosomes A07 and A05 associated with stable and major QTLs for pod weight and size in cultivated peanut (Arachis hypogaea L.). Theoretical and Applied Genetics. 131(2). 267–282. 57 indexed citations
18.
Li, Xinping, Yan Cai, Jianbin Guo, et al.. (2016). Quantitative trait locus analysis for main quality traits in cultivated peanut (Arachis hypogaea L.). Zhongguo youliao zuowu xuebao. 38(4). 415. 2 indexed citations
19.
Yuan, Wei, Zigui Chen, Shuiqing Wu, et al.. (2012). Silencing of EphA2 inhibits invasion of human gastric cancer SGC-7901 cells in vitro and in vivo. Neoplasma. 59(1). 105–113. 36 indexed citations
20.
Guo, Jianbin, et al.. (2008). Local Inflammation Exacerbates Cyclosporine A-Induced Gingival Overgrowth in Rats. Inflammation. 31(6). 399–407. 21 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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