Geng Wu

4.9k total citations · 2 hit papers
87 papers, 3.8k citations indexed

About

Geng Wu is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Geng Wu has authored 87 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Cell Biology. Recurrent topics in Geng Wu's work include Bacterial Genetics and Biotechnology (10 papers), RNA and protein synthesis mechanisms (8 papers) and DNA and Nucleic Acid Chemistry (7 papers). Geng Wu is often cited by papers focused on Bacterial Genetics and Biotechnology (10 papers), RNA and protein synthesis mechanisms (8 papers) and DNA and Nucleic Acid Chemistry (7 papers). Geng Wu collaborates with scholars based in China, United States and United Kingdom. Geng Wu's co-authors include Yigong Shi, Brenda A. Schulman, Nikola P. Pavletich, Jiawei Wu, Xiaodong Wang, Jijie Chai, Tomeka Suber, Chunying Du, Guozhou Xu and Philip D. Jeffrey and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Geng Wu

80 papers receiving 3.8k citations

Hit Papers

Structural basis of IAP recognition by Smac/DIABLO 2000 2026 2008 2017 2000 2003 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Structural basis of IAP recognition by Smac/DIABLO
    2000 671 citations Geng Wu, Yigong Shi et al. Nature profile →
  2. Structure of a β-TrCP1-Skp1-β-Catenin Complex
    2003 523 citations Geng Wu, Brenda A. Schulman et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geng Wu China 25 3.1k 565 435 330 282 87 3.8k
Yuji Nakayama Japan 39 2.5k 0.8× 725 1.3× 863 2.0× 436 1.3× 308 1.1× 191 4.2k
Samir Kumar Patra India 33 2.3k 0.7× 433 0.8× 252 0.6× 226 0.7× 279 1.0× 104 3.5k
H. J. Schaeffer United States 14 2.3k 0.7× 459 0.8× 469 1.1× 377 1.1× 650 2.3× 17 3.8k
Lin Yang China 28 1.6k 0.5× 340 0.6× 416 1.0× 145 0.4× 283 1.0× 96 3.0k
Kyunghee Lee South Korea 38 2.6k 0.8× 606 1.1× 545 1.3× 225 0.7× 205 0.7× 155 4.3k
Nicola T. Wood United Kingdom 28 2.2k 0.7× 415 0.7× 382 0.9× 219 0.7× 368 1.3× 51 2.9k
Ronny Martínez Germany 25 2.2k 0.7× 261 0.5× 283 0.7× 205 0.6× 203 0.7× 62 3.2k
José Luı́s Abad Spain 34 2.0k 0.6× 224 0.4× 580 1.3× 365 1.1× 327 1.2× 116 3.9k
Anne Corlu France 35 1.6k 0.5× 640 1.1× 287 0.7× 202 0.6× 484 1.7× 100 4.3k
Xiaohong Qian China 41 3.8k 1.2× 452 0.8× 453 1.0× 332 1.0× 278 1.0× 223 5.5k

Countries citing papers authored by Geng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Geng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Geng Wu. A scholar is included among the top collaborators of Geng Wu 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 Geng Wu. Geng Wu 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.
Li, Yuanyuan, Qunying Hu, Jiali Xu, et al.. (2025). Hydrogen sulfide as a therapeutic agent for diabetic wounds: effects on inflammation and fibroblast pyroptosis. Frontiers in Immunology. 16. 1558443–1558443. 1 indexed citations
2.
3.
Wu, Geng, et al.. (2023). Targeting mTOR for Anti-Aging and Anti-Cancer Therapy. Molecules. 28(7). 3157–3157. 25 indexed citations
4.
Wu, Geng, et al.. (2023). Design of negative‐regulating proteins of Rheb/mTORC1with much‐reduced sizes of the tuberous sclerosis protein complex. Protein Science. 32(8). e4731–e4731. 2 indexed citations
5.
Gong, Xinqi, Jinchuan Zhou, Yubing Zhang, et al.. (2022). Nicking mechanism underlying the DNA phosphorothioate-sensing antiphage defense by SspE. Nature Communications. 13(1). 6773–6773. 13 indexed citations
6.
Li, Hua, et al.. (2020). Architecture of the Tuberous Sclerosis Protein Complex. Journal of Molecular Biology. 433(2). 166743–166743. 24 indexed citations
7.
Liu, Guang, Zhenyi Zhang, Yao He, et al.. (2018). Structural basis for the recognition of sulfur in phosphorothioated DNA. Nature Communications. 9(1). 4689–4689. 34 indexed citations
8.
Lin, Kui, Maxine V. Holder, Zhongchao Gai, et al.. (2017). Stable MOB1 interaction with Hippo/MST is not essential for development and tissue growth control. Nature Communications. 8(1). 695–695. 33 indexed citations
9.
Gai, Zhongchao, et al.. (2016). Structural mechanism for the arginine sensing and regulation of CASTOR1 in the mTORC1 signaling pathway. Cell Discovery. 2(1). 16051–16051. 41 indexed citations
10.
11.
Zhang, Yu, Jiao An, Guangyu Yang, et al.. (2015). Active Site Loop Conformation Regulates Promiscuous Activity in a Lactonase from Geobacillus kaustophilus HTA426. PLoS ONE. 10(2). e0115130–e0115130. 15 indexed citations
12.
Jiang, Yi, Hongzhi Tang, Geng Wu, & Ping Xu. (2015). Functional Identification of a Novel Gene, moaE, for 3-Succinoylpyridine Degradation in Pseudomonas putida S16. Scientific Reports. 5(1). 13464–13464. 4 indexed citations
13.
14.
Wang, Hongpeng, Yan Zhang, Zhenyi Zhang, Weilin Jin, & Geng Wu. (2013). Purification, crystallization and preliminary X-ray analysis of the inverse F-BAR domain of the human srGAP2 protein. Acta Crystallographica Section F Structural Biology Communications. 70(1). 123–126. 4 indexed citations
15.
Lin, Kui, Zhenyi Zhang, Leyi Chen, et al.. (2011). Purification, crystallization and preliminary X-ray analysis of the DndE protein fromSalmonella entericaserovar Cerro 87, which is involved in DNA phosphorothioation. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 67(11). 1440–1442. 5 indexed citations
16.
Zhang, Zhenyi, Leyi Chen, Lei Gao, et al.. (2011). Structural basis for the recognition of Asef by adenomatous polyposis coli. Cell Research. 22(2). 372–386. 37 indexed citations
17.
Gai, Zhonghui, Xiaoyu Wang, Cui Tai, et al.. (2010). The Genes Coding for the Conversion of Carbazole to Catechol Are Flanked by IS6100 Elements in Sphingomonas sp. Strain XLDN2-5. PLoS ONE. 5(4). e10018–e10018. 24 indexed citations
18.
Hao, Bing, Ning Zheng, Brenda A. Schulman, et al.. (2005). Structural Basis of the Cks1-Dependent Recognition of p27Kip1 by the SCFSkp2 Ubiquitin Ligase. Molecular Cell. 20(1). 9–19. 248 indexed citations
19.
Wu, Geng, Chunming Liu, & Xi He. (2004). Ozz. Molecular Cell. 13(4). 451–453. 12 indexed citations
20.
Srinivasula, Srinivasa M., et al.. (1999). Structural basis of procaspase-9 recruitment by the apoptotic protease-activating factor 1. Nature. 399(6736). 549–557. 353 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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