Fengli Guo

6.6k total citations · 2 hit papers
78 papers, 4.9k citations indexed

About

Fengli Guo is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Fengli Guo has authored 78 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 16 papers in Cell Biology and 11 papers in Plant Science. Recurrent topics in Fengli Guo's work include Mitochondrial Function and Pathology (10 papers), Microtubule and mitosis dynamics (9 papers) and Photosynthetic Processes and Mechanisms (7 papers). Fengli Guo is often cited by papers focused on Mitochondrial Function and Pathology (10 papers), Microtubule and mitosis dynamics (9 papers) and Photosynthetic Processes and Mechanisms (7 papers). Fengli Guo collaborates with scholars based in United States, China and Hong Kong. Fengli Guo's co-authors include Michael J. Zigmond, Jack C. Waymire, Ruth G. Perez, Simon C. Watkins, Eva Lin, Charleen T. Chu, Jay R. Unruh, Brian D. Slaughter, Rong Li and Rhonda Trimble and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Fengli Guo

76 papers receiving 4.8k citations

Hit Papers

A role for alpha-synuclein in the regulation of dopamine ... 2002 2026 2010 2018 2002 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengli Guo United States 33 2.5k 1.2k 874 840 785 78 4.9k
Tito Calí Italy 37 2.9k 1.2× 936 0.8× 1.1k 1.3× 1.1k 1.3× 1.0k 1.3× 78 4.8k
Jongkyeong Chung South Korea 50 5.0k 2.0× 960 0.8× 1.2k 1.4× 881 1.0× 814 1.0× 119 8.3k
Haining Zhu United States 44 3.4k 1.4× 1.7k 1.4× 401 0.5× 559 0.7× 816 1.0× 128 5.7k
Yuji Tanaka Japan 36 2.2k 0.9× 778 0.7× 1.1k 1.2× 458 0.5× 476 0.6× 116 4.7k
Kurt J. De Vos United Kingdom 31 3.5k 1.4× 1.9k 1.6× 1.2k 1.3× 1.4k 1.6× 1.1k 1.4× 45 6.0k
Der‐Fen Suen Taiwan 14 4.1k 1.6× 1.4k 1.2× 657 0.8× 811 1.0× 999 1.3× 17 6.2k
Malcolm Ward United Kingdom 39 3.2k 1.3× 425 0.4× 1.2k 1.4× 724 0.9× 1.7k 2.1× 100 5.8k
Esther Wong Singapore 28 2.8k 1.1× 1.2k 1.0× 866 1.0× 1.3k 1.6× 1.3k 1.6× 48 5.9k
Jan‐Willem Taanman United Kingdom 43 5.8k 2.3× 1.4k 1.2× 1.3k 1.4× 368 0.4× 864 1.1× 115 7.6k
Andreas S. Reichert Germany 47 6.8k 2.7× 878 0.8× 656 0.8× 920 1.1× 1.4k 1.8× 120 9.0k

Countries citing papers authored by Fengli Guo

Since Specialization
Citations

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

Fields of papers citing papers by Fengli Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengli Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Fengli Guo. A scholar is included among the top collaborators of Fengli 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 Fengli Guo. Fengli 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, Fengli, et al.. (2024). Clinical features and prognosis of parotid metastasis of breast cancer: retrospective analysis of 57 cases. Frontiers in Oncology. 14. 1442713–1442713. 1 indexed citations
2.
Guo, Fengli, et al.. (2024). Time Kinetics and prognosis roles of calcitonin after surgery for medullary thyroid carcinoma. World Journal of Surgical Oncology. 22(1). 121–121.
3.
Zhao, Jingzhu, Fengli Guo, Jinming Zhang, et al.. (2023). The survival outcomes of prophylactic lateral neck dissection for medullary thyroid carcinoma, a retrospective cohort study. Clinical Otolaryngology. 48(5). 734–739. 3 indexed citations
4.
Tsuchiya, Dai, Fengli Guo, Jennifer M. Gardner, et al.. (2023). A molecular cell biology toolkit for the study of meiosis in the silkworm Bombyx mori. G3 Genes Genomes Genetics. 13(5). 2 indexed citations
5.
Dash, Soma, Maureen C. Lamb, Jeffrey J. Lange, et al.. (2023). rRNA transcription is integral to phase separation and maintenance of nucleolar structure. PLoS Genetics. 19(8). e1010854–e1010854. 10 indexed citations
6.
Zeng, Yu, Lijuan Li, Yu Liu, et al.. (2023). Identification and validation of eight estrogen-related genes for predicting prognosis of papillary thyroid cancer. Aging. 15(5). 1668–1684. 4 indexed citations
7.
Gu, Pengfei, Yu Zeng, Wei Zhang, et al.. (2022). Characterization of the CpG island methylator phenotype subclass in papillary thyroid carcinoma. Frontiers in Endocrinology. 13. 1008301–1008301. 4 indexed citations
8.
Duan, Xing, Yizeng Li, Kexi Yi, et al.. (2020). Dynamic organelle distribution initiates actin-based spindle migration in mouse oocytes. Nature Communications. 11(1). 277–277. 58 indexed citations
9.
Hughes, Stacie E., et al.. (2019). The E3 ubiquitin ligase Sina regulates the assembly and disassembly of the synaptonemal complex in Drosophila females. PLoS Genetics. 15(5). e1008161–e1008161. 14 indexed citations
10.
Cahoon, Cori K., Zulin Yu, Yongfu Wang, et al.. (2017). Superresolution expansion microscopy reveals the three-dimensional organization of the Drosophila synaptonemal complex. Proceedings of the National Academy of Sciences. 114(33). E6857–E6866. 102 indexed citations
11.
Yang, Hua, Hong‐Min Ni, Fengli Guo, et al.. (2016). Sequestosome 1/p62 Protein Is Associated with Autophagic Removal of Excess Hepatic Endoplasmic Reticulum in Mice. Journal of Biological Chemistry. 291(36). 18663–18674. 59 indexed citations
12.
Qian, Pengxu, Xi He, Ariel Paulson, et al.. (2015). The Dlk1-Gtl2 Locus Preserves LT-HSC Function by Inhibiting the PI3K-mTOR Pathway to Restrict Mitochondrial Metabolism. Cell stem cell. 18(2). 214–228. 131 indexed citations
13.
Guo, Fengli, et al.. (2013). Signet ring cell carcinoma of the breast: report of 17 cases. Zhonghua putong waike zazhi. 28(1). 39–41. 1 indexed citations
14.
Xu, Ningyi, Sean McKinney, Fengli Guo, et al.. (2012). The FATP1–DGAT2 complex facilitates lipid droplet expansion at the ER–lipid droplet interface. The Journal of Cell Biology. 198(5). 895–911. 227 indexed citations
15.
Lin, Chengqi, Alexander S. Garruss, Zhuojuan Luo, Fengli Guo, & Ali Shilatifard. (2012). The RNA Pol II Elongation Factor Ell3 Marks Enhancers in ES Cells and Primes Future Gene Activation. Cell. 152(1-2). 144–156. 78 indexed citations
16.
Majumdar, Amitabha, Huoqing Jiang, Mohammed Repon Khan, et al.. (2012). Critical Role of Amyloid-like Oligomers of Drosophila Orb2 in the Persistence of Memory. Cell. 148(3). 515–529. 214 indexed citations
17.
Box, Andrew, Ningyi Xu, Jingyi Yu, et al.. (2010). Genetic and dietary regulation of lipid droplet expansion in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 107(10). 4640–4645. 128 indexed citations
19.
Gilliland, William D, et al.. (2009). Hypoxia Transiently Sequesters Mps1 and Polo to Collagenase-Sensitive Filaments in Drosophila Prometaphase Oocytes. PLoS ONE. 4(10). e7544–e7544. 8 indexed citations
20.
Du, Lina, Robert W. Hickey, Hülya Bayιr, et al.. (2008). Starving Neurons Show Sex Difference in Autophagy. Journal of Biological Chemistry. 284(4). 2383–2396. 164 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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