Fei Ge

452 total citations
24 papers, 329 citations indexed

About

Fei Ge is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Fei Ge has authored 24 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 9 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Fei Ge's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Plant Molecular Biology Research (7 papers) and Chromosomal and Genetic Variations (3 papers). Fei Ge is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Plant Molecular Biology Research (7 papers) and Chromosomal and Genetic Variations (3 papers). Fei Ge collaborates with scholars based in China and United States. Fei Ge's co-authors include Guangtang Pan, Yaou Shen, Huanwei Peng, Chaoying Zou, Zhaoling Li, Yanling Zhang, Xiaoxiang Zhang, Zhongmei Zhou, Huichun Liang and Rong Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Plant Journal.

In The Last Decade

Fei Ge

22 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Ge China 10 221 139 114 52 32 24 329
Ana Paço Portugal 13 233 1.1× 234 1.7× 64 0.6× 64 1.2× 22 0.7× 20 410
Jiaoteng Bai China 11 371 1.7× 212 1.5× 58 0.5× 27 0.5× 20 0.6× 18 462
Guoyue Chen China 10 257 1.2× 61 0.4× 53 0.5× 18 0.3× 23 0.7× 43 340
Maria Fedorova Russia 10 314 1.4× 136 1.0× 23 0.2× 46 0.9× 65 2.0× 33 471
Jiarui Yuan China 12 254 1.1× 271 1.9× 21 0.2× 40 0.8× 15 0.5× 14 445
Luis G. Fernández Argentina 6 250 1.1× 160 1.2× 56 0.5× 26 0.5× 17 0.5× 8 323
Qi-Gang Li China 8 76 0.3× 126 0.9× 79 0.7× 34 0.7× 17 0.5× 10 257
Guanghui Chen China 9 251 1.1× 188 1.4× 34 0.3× 21 0.4× 18 0.6× 23 434
Nai Wu China 13 654 3.0× 438 3.2× 52 0.5× 111 2.1× 29 0.9× 20 877
Lingling Lv China 14 264 1.2× 202 1.5× 26 0.2× 51 1.0× 10 0.3× 28 472

Countries citing papers authored by Fei Ge

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Ge. A scholar is included among the top collaborators of Fei Ge 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 Fei Ge. Fei Ge 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.
Zhang, Wenzhu, et al.. (2024). Scalp Metastasis After Breast Cancer Surgery: A Case Report. OncoTargets and Therapy. Volume 17. 411–419. 1 indexed citations
2.
Zhang, Ming, et al.. (2024). Transcriptomics integrated with targeted metabolomics reveals endogenous hormone changes in tuberous root expansion of Pueraria. BMC Genomics. 25(1). 1112–1112. 2 indexed citations
3.
Yang, Yuangui, Xiaoping Wang, Yulin Feng, et al.. (2023). Comprehensive profiling of chemical composition of Gleditsiae spina using ultra‐high‐performance liquid chromatography coupled with electrospray ionization quadrupole time‐of‐flight mass spectrometry. Rapid Communications in Mass Spectrometry. 37(6). e9467–e9467. 3 indexed citations
4.
Zhang, Lei, et al.. (2023). Identification of growth years for Puerariae Thomsonii Radix based on hyperspectral imaging technology and deep learning algorithm. Scientific Reports. 13(1). 14286–14286. 7 indexed citations
5.
Hu, Yu, Minyan Zhang, Chaoying Zou, et al.. (2023). GWAS across multiple environments and WGCNA suggest the involvement of ZmARF23 in embryonic callus induction from immature maize embryos. Theoretical and Applied Genetics. 136(4). 93–93. 16 indexed citations
6.
Zhang, Ming, et al.. (2023). Transcriptome profiling reveals the genes involved in tuberous root expansion in Pueraria (Pueraria montana var. thomsonii). BMC Plant Biology. 23(1). 338–338. 8 indexed citations
7.
Long, Yun, Langlang Ma, Peng Liu, et al.. (2022). Combined QTL Mapping across Multiple Environments and Co-Expression Network Analysis Identified Key Genes for Embryogenic Callus Induction from Immature Maize Embryos. International Journal of Molecular Sciences. 23(15). 8786–8786. 3 indexed citations
8.
Wang, Jin, Ling Gu, Shiping Zhang, et al.. (2022). Induction of Ferroptosis by Ophiopogonin-B Through Regulating the Gene Signature AURKA in NSCLC. Frontiers in Oncology. 12. 833814–833814. 18 indexed citations
9.
Xu, Yanqin, et al.. (2021). Transcriptome Characterization and Identification of Molecular Markers (SNP, SSR, and Indels) in the Medicinal Plant Sarcandra glabra spp.. BioMed Research International. 2021(1). 9990910–9990910. 12 indexed citations
10.
Chen, Liang, et al.. (2021). Preoperative interventional artery embolization for the treatment of a giant malignant phyllodes tumor: A case report. Molecular and Clinical Oncology. 15(1). 133–133. 1 indexed citations
11.
Zhang, Xiaoxiang, Zhaoling Li, Peng Liu, et al.. (2020). A combination of linkage mapping and GWAS brings new elements on the genetic basis of yield-related traits in maize across multiple environments. Theoretical and Applied Genetics. 133(10). 2881–2895. 44 indexed citations
12.
Wang, Yanli, Jie Chen, Xiaoxiang Zhang, et al.. (2019). Combination of multi-locus genome-wide association study and QTL mapping reveals genetic basis of tassel architecture in maize. Molecular Genetics and Genomics. 294(6). 1421–1440. 16 indexed citations
13.
Liang, Huichun, Fei Ge, Yuhui Xu, et al.. (2018). miR-153 inhibits the migration and the tube formation of endothelial cells by blocking the paracrine of angiopoietin 1 in breast cancer cells. Angiogenesis. 21(4). 849–860. 44 indexed citations
14.
Zhang, Yanling, Peng Liu, Xiaoxiang Zhang, et al.. (2018). Multi-Locus Genome-Wide Association Study Reveals the Genetic Architecture of Stalk Lodging Resistance-Related Traits in Maize. Frontiers in Plant Science. 9. 611–611. 71 indexed citations
15.
Ge, Fei, Xing Huang, Hongmei Hu, et al.. (2017). Endogenous small interfering RNAs associated with maize embryonic callus formation. PLoS ONE. 12(7). e0180567–e0180567. 11 indexed citations
16.
Li, Li, et al.. (2016). Research on photosynthetic and eco-physiological characteristics of Epimedium pseudowushannense in different growing age. China Journal of Chinese Materia Medica. 41(12). 2183–2189. 1 indexed citations
17.
Ge, Fei, Xu Luo, Xing Huang, et al.. (2016). Genome‐wide analysis of transcription factors involved in maize embryonic callus formation. Physiologia Plantarum. 158(4). 452–462. 37 indexed citations
18.
Ge, Fei. (2013). The Analysis of New Generation Peasant-Workers'Employment Social Support Network. 1 indexed citations
19.
Zhang, Puzhao, et al.. (2012). Triterpenes and flavonoids from Mosla chinensis. Chemistry of Natural Compounds. 48(4). 706–707. 9 indexed citations
20.
Xu, Xiang‐Rong, et al.. (2005). Medicinal plant resources of Guanshan Nature Reserve in Jiangxi Province. Yaredai zhiwu kexue. 34(4). 1 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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