Gulei Jin

2.1k total citations
42 papers, 1.3k citations indexed

About

Gulei Jin is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Gulei Jin has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 27 papers in Plant Science and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Gulei Jin's work include Plant-Microbe Interactions and Immunity (8 papers), Plant Stress Responses and Tolerance (7 papers) and Gut microbiota and health (7 papers). Gulei Jin is often cited by papers focused on Plant-Microbe Interactions and Immunity (8 papers), Plant Stress Responses and Tolerance (7 papers) and Gut microbiota and health (7 papers). Gulei Jin collaborates with scholars based in China, Australia and Israel. Gulei Jin's co-authors include Weiren Wu, Yaofang Niu, Jun Zhu, Xusheng Wang, Hongbo Zhu, Caixian Tang, Longjiang Fan, Yongsong Zhang, Fei Dai and Zhong‐Hua Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Gulei Jin

41 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gulei Jin China 21 948 601 109 105 49 42 1.3k
Weiming Hu China 20 654 0.7× 507 0.8× 117 1.1× 112 1.1× 14 0.3× 61 1.2k
Indu Sharma India 18 690 0.7× 192 0.3× 202 1.9× 80 0.8× 32 0.7× 82 995
Wei Rong China 21 1.2k 1.2× 448 0.7× 60 0.6× 101 1.0× 11 0.2× 51 1.4k
Yoichiro Hoshino Japan 20 919 1.0× 933 1.6× 137 1.3× 94 0.9× 70 1.4× 108 1.4k
Mikiko Abe Japan 24 1.8k 1.9× 326 0.5× 60 0.6× 83 0.8× 42 0.9× 69 2.1k
Charles E. Simpson United States 30 2.6k 2.7× 748 1.2× 103 0.9× 26 0.2× 39 0.8× 106 2.8k
Hanne Volpin Israel 24 1.1k 1.2× 634 1.1× 54 0.5× 136 1.3× 15 0.3× 31 1.8k
Stéphanie Huguet France 23 1.1k 1.2× 423 0.7× 27 0.2× 47 0.4× 22 0.4× 38 1.5k

Countries citing papers authored by Gulei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Gulei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gulei Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Gulei Jin. A scholar is included among the top collaborators of Gulei Jin 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 Gulei Jin. Gulei Jin 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.
Chen, Chen, Xiaoguang Zheng, Weizhong Wang, et al.. (2025). Prediction model based on gut microbiota as a non-invasive tool for gastric cancer diagnosis. Applied Microbiology and Biotechnology. 109(1). 166–166.
2.
Du, Yaoqiang, et al.. (2022). Characteristics of gastric cancer gut microbiome according to tumor stage and age segmentation. Applied Microbiology and Biotechnology. 106(19-20). 6671–6687. 11 indexed citations
3.
Shen, Jian, Gulei Jin, Zhengliang Zhang, et al.. (2022). A multiple-dimension model for microbiota of patients with colorectal cancer from normal participants and other intestinal disorders. Applied Microbiology and Biotechnology. 106(5-6). 2161–2173. 2 indexed citations
4.
Shen, Jian, et al.. (2022). Characteristics of gut microbiota in patients with gastric cancer by surgery, chemotherapy and lymph node metastasis. Clinical & Translational Oncology. 24(11). 2181–2190. 16 indexed citations
5.
Zhang, Yangyang, Jian Shen, Xinwei Shi, et al.. (2021). Gut microbiome analysis as a predictive marker for the gastric cancer patients. Applied Microbiology and Biotechnology. 105(2). 803–814. 56 indexed citations
6.
Niu, Yaofang, Ping Chen, Yu Zhang, et al.. (2018). Natural variation among Arabidopsis thaliana accessions in tolerance to high magnesium supply. Scientific Reports. 8(1). 13640–13640. 12 indexed citations
7.
Pan, Yao, Yafen Zhang, Haifeng Cui, et al.. (2017). Comparative whole-genome analysis reveals artificial selection effects on Ustilago esculenta genome. DNA Research. 24(6). 635–648. 38 indexed citations
8.
Dai, Fei, Xiaoqi Zhang, Zhong‐Hua Chen, et al.. (2017). Assembly and analysis of a qingke reference genome demonstrate its close genetic relation to modern cultivated barley. Plant Biotechnology Journal. 16(3). 760–770. 48 indexed citations
9.
Wu, Sanling, Yanhua Liu, Gulei Jin, et al.. (2016). Genome-wide profiling of genetic variation in Agrobacterium-transformed rice plants. Journal of Zhejiang University SCIENCE B. 17(12). 992–996. 10 indexed citations
10.
Wu, Dezhi, Qian Yang, Jianbin Zeng, et al.. (2016). Identification of Mild Freezing Shock Response Pathways in Barley Based on Transcriptome Profiling. Frontiers in Plant Science. 7. 106–106. 24 indexed citations
11.
Hung, Chiu‐Yueh, Jie Qiu, Ying‐Hsuan Sun, et al.. (2016). Gibberellin deficiency is responsible for shy-flowering nature of Epipremnum aureum. Scientific Reports. 6(1). 28598–28598. 18 indexed citations
12.
Niu, Yaofang, Gulei Jin, Xin Li, et al.. (2015). Phosphorus and magnesium interactively modulate the elongation and directional growth of primary roots in Arabidopsis thaliana (L.) Heynh. Journal of Experimental Botany. 66(13). 3841–3854. 37 indexed citations
13.
Zhang, Futao, et al.. (2015). FastGCN: A GPU Accelerated Tool for Fast Gene Co-Expression Networks. PLoS ONE. 10(1). e0116776–e0116776. 25 indexed citations
14.
Niu, Yaofang, et al.. (2014). Root development under control of magnesium availability. Plant Signaling & Behavior. 9(9). e29720–e29720. 25 indexed citations
15.
Ye, Chuyu, Gengmi Li, Yingying Wang, et al.. (2014). Echinochloa Chloroplast Genomes: Insights into the Evolution and Taxonomic Identification of Two Weedy Species. PLoS ONE. 9(11). e113657–e113657. 46 indexed citations
16.
Niu, Yaofang, Chong Wei Jin, Gulei Jin, et al.. (2011). Auxin modulates the enhanced development of root hairs in Arabidopsis thaliana (L.) Heynh. under elevated CO2. Plant Cell & Environment. 34(8). 1304–1317. 48 indexed citations
17.
Zhu, Bo, Miao-Miao Lou, Guan‐Lin Xie, et al.. (2011). Horizontal gene transfer in silkworm, Bombyx mori. BMC Genomics. 12(1). 248–248. 42 indexed citations
18.
19.
Zheng, Yan, Fu‐Cheng Lin, Zonghua Wang, et al.. (2008). Development of microsatellite markers and construction of genetic map in rice blast pathogen Magnaporthe grisea. Fungal Genetics and Biology. 45(10). 1340–1347. 44 indexed citations
20.
Du, Liming, Fangchan Jiao, Jun Chu, et al.. (2007). The two-component signal system in rice (Oryza sativa L.): A genome-wide study of cytokinin signal perception and transduction. Genomics. 89(6). 697–707. 101 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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