Pu Gao

5.1k total citations · 2 hit papers
64 papers, 3.4k citations indexed

About

Pu Gao is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Pu Gao has authored 64 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 17 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Pu Gao's work include interferon and immune responses (13 papers), Viral Infections and Vectors (6 papers) and RNA and protein synthesis mechanisms (6 papers). Pu Gao is often cited by papers focused on interferon and immune responses (13 papers), Viral Infections and Vectors (6 papers) and RNA and protein synthesis mechanisms (6 papers). Pu Gao collaborates with scholars based in China, United States and Germany. Pu Gao's co-authors include Dinshaw J. Patel, Manuel Ascano, Thomas Tuschl, Winfried Barchet, Gunther Hartmann, Thomas Zillinger, Barbara L. Gaffney, Roger A. Jones, Artem A. Serganov and Hui Yang and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Pu Gao

60 papers receiving 3.4k citations

Hit Papers

Cyclic [G(2′,5′)pA(3′,5′)p] Is the Metazoan Second Messen... 2013 2026 2017 2021 2013 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pu Gao China 22 2.1k 1.9k 815 319 275 64 3.4k
Bruce D. Freedman United States 36 1.1k 0.5× 1.6k 0.9× 423 0.5× 348 1.1× 428 1.6× 71 3.4k
Fajian Hou China 19 1.8k 0.9× 1.8k 0.9× 305 0.4× 391 1.2× 296 1.1× 44 2.9k
Yu‐Hsin Chiu United States 28 2.8k 1.3× 2.2k 1.1× 480 0.6× 560 1.8× 501 1.8× 47 4.5k
G. Herma Renkema Netherlands 28 2.9k 1.4× 1.0k 0.5× 266 0.3× 443 1.4× 322 1.2× 46 4.0k
Takumi Koshiba Japan 29 2.3k 1.1× 1.3k 0.7× 377 0.5× 701 2.2× 67 0.2× 55 3.6k
Hakju Kwon Canada 20 1.3k 0.6× 1.5k 0.8× 557 0.7× 488 1.5× 636 2.3× 25 3.6k
Kuan-Teh Jeang United States 40 3.0k 1.4× 2.1k 1.1× 641 0.8× 751 2.4× 538 2.0× 72 5.7k
Gudula Schmidt Germany 38 2.5k 1.2× 934 0.5× 551 0.7× 196 0.6× 335 1.2× 95 4.4k
Sophie Rutschmann United States 19 900 0.4× 2.7k 1.4× 266 0.3× 424 1.3× 172 0.6× 28 3.7k
Thierry Idziorek France 23 829 0.4× 917 0.5× 290 0.4× 500 1.6× 180 0.7× 53 2.3k

Countries citing papers authored by Pu Gao

Since Specialization
Citations

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

Fields of papers citing papers by Pu Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Gao. A scholar is included among the top collaborators of Pu Gao 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 Pu Gao. Pu Gao 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, Zhuohang, Pu Gao, Jing Wu, et al.. (2025). Gliding arc plasma-driven ammonia decomposition for pure ammonia spark-ignition engine. Fuel. 405. 136471–136471.
2.
Sun, Peiyu, Linnan Zhang, Yina Gao, et al.. (2025). Substrate recognition diversity and transport dynamics of ABCC1. Nature Communications. 16(1). 10499–10499.
3.
Zhang, Xuyuan, Xiaohua Nie, Panpan Sun, et al.. (2025). Molecular basis of SLC19A1-mediated folate and cyclic dinucleotide transport. Nature Communications. 16(1). 3146–3146. 1 indexed citations
4.
Zhang, Xiaolin, Xiaohua Nie, Xuyuan Zhang, et al.. (2024). Assembly and activation of EBV latent membrane protein 1. Cell. 187(18). 4996–5009.e14. 7 indexed citations
5.
Li, Peipei, Yong Wang, Xuyuan Zhang, et al.. (2024). Substrate transport and drug interaction of human thiamine transporters SLC19A2/A3. Nature Communications. 15(1). 10924–10924. 6 indexed citations
6.
Wu, Junjun, et al.. (2024). Pyroptosis: Induction and inhibition strategies for immunotherapy of diseases. Acta Pharmaceutica Sinica B. 14(10). 4195–4227. 13 indexed citations
7.
Li, Dong, Yihong Yang, Shashi Prakash Singh, et al.. (2023). GxcM-Fbp17/RacC-WASP signaling regulates polarized cortex assembly in migrating cells via Arp2/3. The Journal of Cell Biology. 222(6). 3 indexed citations
8.
Gao, Pu, et al.. (2023). Phase separation in cGAS-STING signaling. Frontiers of Medicine. 17(5). 855–866. 10 indexed citations
9.
Zhang, Xuyuan, Panpan Sun, Yong Zhang, et al.. (2022). Recognition of cyclic dinucleotides and folates by human SLC19A1. Nature. 612(7938). 170–176. 33 indexed citations
10.
Gao, Yina, Yong Wang, Qi Zhang, et al.. (2022). Molecular insights into DNA recognition and methylation by non-canonical type I restriction-modification systems. Nature Communications. 13(1). 6391–6391. 5 indexed citations
11.
Xu, Guangjun, Chong Liu, Sheng Zhou, et al.. (2021). Viral tegument proteins restrict cGAS-DNA phase separation to mediate immune evasion. Molecular Cell. 81(13). 2823–2837.e9. 89 indexed citations
12.
Chen, Wenhan, Feng Zhang, Pu Gao, et al.. (2019). Sustained co-delivery of ibuprofen and basic fibroblast growth factor by thermosensitive nanoparticle hydrogel as early local treatment of peri-implantitis. SHILAP Revista de lepidopterología. 1 indexed citations
13.
Yang, Hui, Pu Gao, Kanagalaghatta R. Rajashankar, & Dinshaw J. Patel. (2016). PAM-Dependent Target DNA Recognition and Cleavage by C2c1 CRISPR-Cas Endonuclease. Cell. 167(7). 1814–1828.e12. 212 indexed citations
14.
Gao, Pu, Hui Yang, Kanagalaghatta R. Rajashankar, Zhiwei Huang, & Dinshaw J. Patel. (2016). Type V CRISPR-Cas Cpf1 endonuclease employs a unique mechanism for crRNA-mediated target DNA recognition. Cell Research. 26(8). 901–913. 181 indexed citations
15.
Ren, Aiming, Jennifer Gebetsberger, Pu Gao, et al.. (2016). Pistol ribozyme adopts a pseudoknot fold facilitating site-specific in-line cleavage. Nature Chemical Biology. 12(9). 702–708. 68 indexed citations
16.
Xia, Pengyan, Shuo Wang, Pu Gao, Guangxia Gao, & Zusen Fan. (2016). DNA sensor cGAS-mediated immune recognition. Protein & Cell. 7(11). 777–791. 114 indexed citations
17.
Oh, Yong‐Seok, Pu Gao, Ilaria Ceglia, et al.. (2013). SMARCA3, a Chromatin-Remodeling Factor, Is Required for p11-Dependent Antidepressant Action. Cell. 152(4). 831–843. 85 indexed citations
18.
Gao, Pu, Manuel Ascano, Thomas Zillinger, et al.. (2013). Structure-Function Analysis of STING Activation by c[G(2′,5′)pA(3′,5′)p] and Targeting by Antiviral DMXAA. Cell. 154(4). 748–762. 457 indexed citations breakdown →
19.
Gao, Pu, Qun Tang, Xiao‐Min An, Xiao‐Xue Yan, & Dongcai Liang. (2011). Structure of HsdS Subunit from Thermoanaerobacter tengcongensis Sheds Lights on Mechanism of Dynamic Opening and Closing of Type I Methyltransferase. PLoS ONE. 6(3). e17346–e17346. 17 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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