Weifeng Gu

6.6k total citations
41 papers, 4.6k citations indexed

About

Weifeng Gu is a scholar working on Molecular Biology, Aging and Plant Science. According to data from OpenAlex, Weifeng Gu has authored 41 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 11 papers in Aging and 11 papers in Plant Science. Recurrent topics in Weifeng Gu's work include RNA modifications and cancer (14 papers), RNA Research and Splicing (14 papers) and CRISPR and Genetic Engineering (13 papers). Weifeng Gu is often cited by papers focused on RNA modifications and cancer (14 papers), RNA Research and Splicing (14 papers) and CRISPR and Genetic Engineering (13 papers). Weifeng Gu collaborates with scholars based in United States, Portugal and China. Weifeng Gu's co-authors include Craig C. Mello, Darryl Conte, Masaki Shirayama, Heng-Chi Lee, Daniel A. Chaves, Pedro J. Batista, Julie M. Claycomb, Elaine M. Youngman, Takao Ishidate and Meetu Seth and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Weifeng Gu

41 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weifeng Gu United States 27 3.8k 1.4k 1.3k 600 288 41 4.6k
Femke Simmer Netherlands 20 3.1k 0.8× 685 0.5× 1.1k 0.8× 340 0.6× 457 1.6× 51 4.2k
Darryl Conte United States 24 5.4k 1.4× 1.6k 1.1× 2.0k 1.5× 1.4k 2.3× 518 1.8× 32 6.3k
Marcel Tijsterman Netherlands 36 3.8k 1.0× 804 0.6× 1.3k 1.0× 370 0.6× 669 2.3× 77 4.6k
Susan Parrish United States 10 3.6k 1.0× 880 0.6× 901 0.7× 1.1k 1.8× 477 1.7× 13 4.5k
Lisa Timmons United States 18 3.1k 0.8× 962 0.7× 1.6k 1.2× 248 0.4× 309 1.1× 29 4.2k
Seung Woo Cho South Korea 16 6.5k 1.7× 1.2k 0.8× 498 0.4× 691 1.2× 1.3k 4.4× 25 7.0k
Pedro J. Batista United States 22 7.4k 2.0× 829 0.6× 950 0.7× 3.7k 6.1× 232 0.8× 32 8.1k
Claus M. Azzalin Switzerland 29 3.3k 0.9× 816 0.6× 330 0.3× 323 0.5× 295 1.0× 51 4.0k
Luhan Yang United States 6 7.3k 2.0× 804 0.6× 567 0.4× 206 0.3× 1.7k 5.9× 8 8.0k
Jacqueline E. Villalta United States 13 4.2k 1.1× 350 0.2× 252 0.2× 707 1.2× 635 2.2× 16 4.6k

Countries citing papers authored by Weifeng Gu

Since Specialization
Citations

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

Fields of papers citing papers by Weifeng Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weifeng Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Weifeng Gu. A scholar is included among the top collaborators of Weifeng Gu 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 Weifeng Gu. Weifeng Gu 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.
Kim, Jane, Brandon H. Le, Zachery R. Lonergan, et al.. (2024). Pseudomonas aeruginosa Activates Quorum Sensing, Antioxidant Enzymes and Type VI Secretion in Response to Oxidative Stress to Initiate Biofilm Formation and Wound Chronicity. Antioxidants. 13(6). 655–655. 5 indexed citations
2.
Sun, Yuxiang, Hui Dai, Xiaoxia Dai, et al.. (2023). m1A in CAG repeat RNA binds to TDP-43 and induces neurodegeneration. Nature. 623(7987). 580–587. 45 indexed citations
3.
Adjibade, Pauline, et al.. (2021). The RabGAP TBC-11 controls Argonaute localization for proper microRNA function in C. elegans. PLoS Genetics. 17(4). e1009511–e1009511. 5 indexed citations
4.
Massart, Julie, Rasmus J. O. Sjögren, Brendan Egan, et al.. (2021). Endurance exercise training-responsive miR-19b-3p improves skeletal muscle glucose metabolism. Nature Communications. 12(1). 5948–5948. 37 indexed citations
5.
Chaves, Daniel A., Hui Dai, Lichao Li, et al.. (2020). The RNA phosphatase PIR-1 regulates endogenous small RNA pathways in C. elegans. Molecular Cell. 81(3). 546–557.e5. 18 indexed citations
6.
Dai, Xiaoxia, Gwendolyn González, Lin Li, et al.. (2019). YTHDF2 Binds to 5-Methylcytosine in RNA and Modulates the Maturation of Ribosomal RNA. Analytical Chemistry. 92(1). 1346–1354. 82 indexed citations
7.
Li, Lichao, et al.. (2019). A convenient strategy to clone small RNA and mRNA for high-throughput sequencing. RNA. 26(2). 218–227. 19 indexed citations
8.
Hou, Yingnan, Yi Zhai, Feng Li, et al.. (2018). A Phytophthora Effector Suppresses Trans-Kingdom RNAi to Promote Disease Susceptibility. Cell Host & Microbe. 25(1). 153–165.e5. 185 indexed citations
9.
Gu, Weifeng, Glen R. Gallagher, Weiwei Dai, et al.. (2015). Influenza A virus preferentially snatches noncoding RNA caps. RNA. 21(12). 2067–2075. 57 indexed citations
10.
Hainer, Sarah J., Weifeng Gu, Benjamin R. Carone, et al.. (2015). Suppression of pervasive noncoding transcription in embryonic stem cells by esBAF. Genes & Development. 29(4). 362–378. 61 indexed citations
11.
D’Ambrogio, Andrea, Weifeng Gu, Tsuyoshi Udagawa, Craig C. Mello, & Joel D. Richter. (2012). Specific miRNA Stabilization by Gld2-Catalyzed Monoadenylation. Cell Reports. 2(6). 1537–1545. 94 indexed citations
12.
Li, Liande, Weifeng Gu, Chunyang Liang, et al.. (2012). The translin–TRAX complex (C3PO) is a ribonuclease in tRNA processing. Nature Structural & Molecular Biology. 19(8). 824–830. 25 indexed citations
13.
Gu, Weifeng, Heng-Chi Lee, Daniel A. Chaves, et al.. (2012). CapSeq and CIP-TAP Identify Pol II Start Sites and Reveal Capped Small RNAs as C. elegans piRNA Precursors. Cell. 151(7). 1488–1500. 169 indexed citations
14.
Lee, Heng-Chi, Weifeng Gu, Masaki Shirayama, et al.. (2012). C. elegans piRNAs Mediate the Genome-wide Surveillance of Germline Transcripts. Cell. 150(1). 78–87. 287 indexed citations
15.
Gu, Weifeng, Julie M. Claycomb, Pedro J. Batista, Craig C. Mello, & Darryl Conte. (2011). Cloning Argonaute-Associated Small RNAs from Caenorhabditis elegans. Methods in molecular biology. 725. 251–280. 17 indexed citations
16.
Lee, Heng-Chi, Liande Li, Weifeng Gu, et al.. (2010). Diverse Pathways Generate MicroRNA-like RNAs and Dicer-Independent Small Interfering RNAs in Fungi. Molecular Cell. 38(6). 803–814. 272 indexed citations
17.
Claycomb, Julie M., Pedro J. Batista, Ka Ming Pang, et al.. (2009). The Argonaute CSR-1 and Its 22G-RNA Cofactors Are Required for Holocentric Chromosome Segregation. Cell. 139(1). 123–134. 339 indexed citations
18.
Batista, Pedro J., J. Graham Ruby, Julie M. Claycomb, et al.. (2008). PRG-1 and 21U-RNAs Interact to Form the piRNA Complex Required for Fertility in C. elegans. Molecular Cell. 31(1). 67–78. 441 indexed citations
19.
Alexandrov, Andrei, Weifeng Gu, Shawna L. Hiley, et al.. (2006). Rapid tRNA Decay Can Result from Lack of Nonessential Modifications. Molecular Cell. 21(1). 87–96. 397 indexed citations
20.
Gu, Weifeng, Jane E. Jackman, Amanda J. Lohan, Michael W. Gray, & Eric M. Phizicky. (2003). tRNA His maturation: An essential yeast protein catalyzes addition of a guanine nucleotide to the 5′ end of tRNA His. Genes & Development. 17(23). 2889–2901. 93 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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