Feng Guo

5.0k total citations
101 papers, 3.2k citations indexed

About

Feng Guo is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Feng Guo has authored 101 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 16 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Feng Guo's work include RNA modifications and cancer (19 papers), MicroRNA in disease regulation (12 papers) and RNA Interference and Gene Delivery (9 papers). Feng Guo is often cited by papers focused on RNA modifications and cancer (19 papers), MicroRNA in disease regulation (12 papers) and RNA Interference and Gene Delivery (9 papers). Feng Guo collaborates with scholars based in United States, China and Japan. Feng Guo's co-authors include Gregory D. Van Duyne, Deshmukh N. Gopaul, Thomas R. Cech, Ian Barr, Michael Faller, Anne R. Gooding, Michio Matsunaga, Sheng Yin, Joseph A. Loo and Thomas J. Leonard and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Feng Guo

95 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Guo United States 28 2.3k 480 411 303 283 101 3.2k
Savvas N. Savvides Belgium 40 2.8k 1.2× 518 1.1× 265 0.6× 295 1.0× 227 0.8× 123 5.3k
Christian A. Luber Germany 10 3.2k 1.4× 327 0.7× 334 0.8× 529 1.7× 292 1.0× 10 5.2k
Igor Paron Italy 18 4.1k 1.7× 391 0.8× 346 0.8× 642 2.1× 309 1.1× 21 5.9k
David García‐Seisdedos Spain 10 2.6k 1.1× 310 0.6× 292 0.7× 439 1.4× 297 1.0× 16 4.2k
Marina Gritsenko United States 40 3.1k 1.3× 369 0.8× 313 0.8× 381 1.3× 388 1.4× 98 5.1k
Nadin Neuhauser Germany 6 3.4k 1.5× 290 0.6× 286 0.7× 521 1.7× 291 1.0× 6 4.7k
Tobias Ternent United Kingdom 8 2.6k 1.1× 323 0.7× 241 0.6× 359 1.2× 348 1.2× 9 3.9k
Valerie C. Wasinger Australia 29 2.4k 1.0× 383 0.8× 308 0.7× 342 1.1× 128 0.5× 77 3.8k
Nicholas Shulman United States 14 3.1k 1.3× 244 0.5× 203 0.5× 316 1.0× 241 0.9× 21 4.6k
Bernd Thiede Norway 43 3.7k 1.6× 275 0.6× 522 1.3× 452 1.5× 123 0.4× 167 5.6k

Countries citing papers authored by Feng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Feng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Guo. A scholar is included among the top collaborators of Feng 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 Feng Guo. Feng 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.
Zhang, Hongrui, Xingwang Hou, Jiyan Liu, et al.. (2025). Diverse in vitro liver models reveal comprehensive biotransformation pathways of tetrabromobisphenol A. Environment International. 204. 109848–109848. 1 indexed citations
2.
3.
Li, Shuangxi, et al.. (2024). Fangchinoline protects hepatic ischemia/reperfusion liver injury in rats through anti‐oxidative stress and anti‐inflammation properties: an in silico study. Biotechnology and Applied Biochemistry. 71(6). 1281–1292. 2 indexed citations
4.
Guo, Feng, et al.. (2023). Stress Corrosion Cracking Analysis of a Hot Blast Stove Shell with an Internal Combustion Chamber. Applied Sciences. 13(22). 12297–12297.
5.
Guo, Feng, Hongsheng Zhou, Huali Hu, et al.. (2023). Green LED irradiation promotes the quality of cabbage through delaying senescence and regulating glucosinolate metabolism. Food Quality and Safety. 8. 4 indexed citations
6.
Wu, Bing & Feng Guo. (2021). Icariin ameliorate diabetic myocardial hypertrophy by inhibiting autophagy via the AMPK/mTOR pathway. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Gao, Wenzhe, Jie Shen, Feng Guo, et al.. (2019). Roles of pyroptosis in myocardial ischemia/reperfusion injury diseases. 1(3). 184–189. 1 indexed citations
8.
Wang, Ruixuan, et al.. (2018). In Crystallo Selection to Establish New RNA Crystal Contacts. Structure. 26(9). 1275–1283.e3. 4 indexed citations
9.
Jin, Tengchuan, Cheng Wang, Yang Wang, et al.. (2017). Crystal Structure of Cocosin, A Potential Food Allergen from Coconut (Cocos nucifera). Journal of Agricultural and Food Chemistry. 65(34). 7560–7568. 15 indexed citations
10.
Cao, Xiaocong, Yajuan Li, Xiangyu Jin, et al.. (2016). Molecular mechanism of divalent-metal-induced activation of NS3 helicase and insights into Zika virus inhibitor design. Nucleic Acids Research. 44(21). gkw941–gkw941. 32 indexed citations
11.
Feng, Tingting, Jinbo Cheng, Yajuan Li, et al.. (2016). Structure of the NS5 methyltransferase from Zika virus and implications in inhibitor design. Biochemical and Biophysical Research Communications. 492(4). 624–630. 66 indexed citations
12.
Barr, Ian, Talia A. Atkin, Maria Karayiorgou, et al.. (2015). Cobalt(III) Protoporphyrin Activates the DGCR8 Protein and Can Compensate microRNA Processing Deficiency. Chemistry & Biology. 22(6). 793–802. 11 indexed citations
13.
Wang, Lili, Fan Yang, Feng Guo, et al.. (2015). The mechanism and risk factors of clopidogrel-induced liver injury. Drug and Chemical Toxicology. 39(4). 367–374. 12 indexed citations
14.
Wan, Liling, Xin Lü, Salina Yuan, et al.. (2014). MTDH-SND1 Interaction Is Crucial for Expansion and Activity of Tumor-Initiating Cells in Diverse Oncogene- and Carcinogen-Induced Mammary Tumors. Cancer Cell. 26(1). 92–105. 109 indexed citations
15.
Barr, Ian & Feng Guo. (2013). Primary MicroRNA Processing Assay Reconstituted Using Recombinant Drosha and DGCR8. Methods in molecular biology. 1095. 73–86. 6 indexed citations
16.
Faller, Michael, Daniel B. Toso, Michio Matsunaga, et al.. (2010). DGCR8 recognizes primary transcripts of microRNAs through highly cooperative binding and formation of higher-order structures. RNA. 16(8). 1570–1583. 50 indexed citations
17.
Guo, Feng, Anne R. Gooding, & Thomas R. Cech. (2006). Comparison of crystal structure interactions and thermodynamics for stabilizing mutations in the Tetrahymena ribozyme. RNA. 12(3). 387–395. 14 indexed citations
18.
Guo, Feng & Thomas R. Cech. (2002). Evolution of Tetrahymena ribozyme mutants with increased structural stability. Nature Structural Biology. 9(11). 855–61. 36 indexed citations
19.
Guo, Feng, Chih‐Jian Lih, & Stanley N. Cohen. (2000). TSG101 protein steady-state level is regulated posttranslationally by an evolutionarily conserved COOH-terminal sequence.. PubMed. 60(6). 1736–41. 57 indexed citations
20.
Guo, Feng, Deshmukh N. Gopaul, & Gregory D. Van Duyne. (2000). Geometry of the DNA Substrates in Cre-loxP Site-Specific Recombination. Journal of Biomolecular Structure and Dynamics. 17(sup1). 141–146. 2 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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