Fei Guo

2.7k total citations
54 papers, 936 citations indexed

About

Fei Guo is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Fei Guo has authored 54 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 27 papers in Plant Science and 9 papers in Biochemistry. Recurrent topics in Fei Guo's work include Plant Molecular Biology Research (14 papers), Plant nutrient uptake and metabolism (11 papers) and Plant Gene Expression Analysis (10 papers). Fei Guo is often cited by papers focused on Plant Molecular Biology Research (14 papers), Plant nutrient uptake and metabolism (11 papers) and Plant Gene Expression Analysis (10 papers). Fei Guo collaborates with scholars based in China, United States and Japan. Fei Guo's co-authors include Dejiang Ni, Xiuxin Deng, Qiang Xu, Hua Zhao, Mingle Wang, Pu Wang, Yuduan Ding, Keqin Yu, Yu Wang and Huiwen Yu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Fei Guo

53 papers receiving 922 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 Guo China 17 475 467 245 189 149 54 936
Chengcai Zhang China 16 529 1.1× 450 1.0× 242 1.0× 151 0.8× 142 1.0× 52 985
Yuqiong Guo China 18 430 0.9× 404 0.9× 423 1.7× 185 1.0× 326 2.2× 37 976
Mingjie Chen China 17 299 0.6× 273 0.6× 287 1.2× 142 0.8× 230 1.5× 45 745
Congbing Fang China 16 644 1.4× 658 1.4× 90 0.4× 221 1.2× 115 0.8× 34 1.0k
Yumei Qian China 13 394 0.8× 267 0.6× 226 0.9× 171 0.9× 100 0.7× 27 709
Qingshan Xu China 15 427 0.9× 412 0.9× 204 0.8× 119 0.6× 101 0.7× 28 866
Zhengqi Fan China 15 911 1.9× 601 1.3× 79 0.3× 239 1.3× 93 0.6× 47 1.2k
Woosuk Jung South Korea 13 476 1.0× 589 1.3× 251 1.0× 88 0.5× 90 0.6× 43 1.0k
Shiqi Zhao China 19 580 1.2× 466 1.0× 369 1.5× 179 0.9× 162 1.1× 31 1.1k
Jinke Lin China 17 296 0.6× 166 0.4× 347 1.4× 187 1.0× 188 1.3× 40 697

Countries citing papers authored by Fei Guo

Since Specialization
Citations

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

Fields of papers citing papers by Fei Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Guo. A scholar is included among the top collaborators of Fei 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 Fei Guo. Fei 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.
Zou, Yuanqiang, Yanmei Ju, Ruijin Guo, et al.. (2025). Efficiently constructing complete genomes with CycloneSEQ to fill gaps in bacterial draft assemblies. PubMed. 2025. gigabyte154–gigabyte154. 3 indexed citations
2.
Yin, Min, et al.. (2024). Low ACADM expression predicts poor prognosis and suppressive tumor microenvironment in clear cell renal cell carcinoma. Scientific Reports. 14(1). 9533–9533. 5 indexed citations
3.
Zhang, E, Muhammad Ihtisham, Muhammad Ilyas, et al.. (2023). Metabolic profiling, pigment component responses to foliar application of Fe, Zn, Cu, and Mn for tea plants (Camellia sinensis). Scientia Horticulturae. 319. 112149–112149. 10 indexed citations
4.
Li, Wenyi, Hui Li, Pu Wang, et al.. (2023). CsMYBPA1-CsGSTU18 interaction plays an important role in anthocyanin metabolism regulation in tea plant (Camellia sinensis). Scientia Horticulturae. 321. 112338–112338. 4 indexed citations
5.
Zhang, Luyu, Ruiming Zhang, Fei Guo, et al.. (2023). Reference gene selection for qRT-PCR analysis in the shoots and roots of Camellia sinensis var. sinensis under nutritional stresses. Scientia Horticulturae. 320. 112237–112237. 2 indexed citations
6.
Li, Wenyi, Qin Fang, Hui Li, et al.. (2023). Transcriptome analysis reveals CsGSTU18 plays an important role in anthocyanin accumulation-induced tender shoot turning purple of tea plant (Camellia sinensis). Scientia Horticulturae. 311. 111832–111832. 7 indexed citations
7.
Lin, Qingqing, Wenyi Li, Mingle Wang, et al.. (2023). CsmiR396d targeting of <i>CsGS2</i> plays an important role in glutamine metabolism of tea plant (<i>Camellia sinensis</i>). SHILAP Revista de lepidopterología. 4(1). 0–0. 2 indexed citations
8.
Huang, Wei, Xia Li, E Zhang, et al.. (2023). Overexpression of CsATG3a improves tolerance to nitrogen deficiency and increases nitrogen use efficiency in arabidopsis. Plant Physiology and Biochemistry. 196. 328–338. 7 indexed citations
9.
10.
Guo, Fei, Jingxuan Kang, Jing Xu, et al.. (2023). Genome-wide identification of m6A-associated single nucleotide polymorphisms in complex diseases of nervous system. Neuroscience Letters. 817. 137513–137513. 2 indexed citations
11.
Chen, Dezhi, et al.. (2023). A prognostic and immunological analysis of 7B-containing Kelch structural domain (KLHDC7B) in pan-cancer: a potential target for immunotherapy and survival. Journal of Cancer Research and Clinical Oncology. 149(10). 7857–7876. 4 indexed citations
12.
Li, Jing, Luyu Zhang, Xuyang Zhang, et al.. (2022). Metabolome and RNA-seq Analysis of Responses to Nitrogen Deprivation and Resupply in Tea Plant (Camellia sinensis) Roots. Frontiers in Plant Science. 13. 932720–932720. 12 indexed citations
13.
Yu, Meng, Wei Si, Tao Zeng, et al.. (2021). Unveiling the Microscopic Mechanism of Current Variation in the Sensing Region of the MspA Nanopore for DNA Sequencing. The Journal of Physical Chemistry Letters. 12(37). 9132–9141. 12 indexed citations
14.
Song, Ying, Jinlei Chen, Haifeng Liang, et al.. (2021). Identification of nucleic acid aptamers against lactate dehydrogenase via SELEX and high-throughput sequencing. Analytical and Bioanalytical Chemistry. 413(17). 4427–4439. 9 indexed citations
15.
Chen, Qinghua, Fei Guo, Mingle Wang, et al.. (2020). (Z)-3-Hexen-1-ol accumulation enhances hyperosmotic stress tolerance in Camellia sinensis. Plant Molecular Biology. 103(3). 287–302. 18 indexed citations
16.
Wang, Yu, Pengcheng Zheng, Panpan Liu, et al.. (2018). Novel insight into the role of withering process in characteristic flavor formation of teas using transcriptome analysis and metabolite profiling. Food Chemistry. 272. 313–322. 149 indexed citations
17.
Guo, Fei, et al.. (2017). Transcriptional profiling of catechins biosynthesis genes during tea plant leaf development. Planta. 246(6). 1139–1152. 56 indexed citations
18.
19.
Guo, Fei, et al.. (2012). Effect of the Citrus Lycopene β-Cyclase Transgene on Carotenoid Metabolism in Transgenic Tomato Fruits. PLoS ONE. 7(2). e32221–e32221. 26 indexed citations
20.
Meiri, Eti, Alexander Levitan, Fei Guo, et al.. (2002). Characterization of three PDI-like genes in Physcomitrella patens and construction of knock-out mutants. Molecular Genetics and Genomics. 267(2). 231–240. 18 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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