Xin D. Gao

2.1k total citations · 3 hit papers
18 papers, 1.4k citations indexed

About

Xin D. Gao is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xin D. Gao has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xin D. Gao's work include CRISPR and Genetic Engineering (11 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (4 papers). Xin D. Gao is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (4 papers). Xin D. Gao collaborates with scholars based in United States, China and Canada. Xin D. Gao's co-authors include Aditya Raguram, Jaron A. M. Mercer, Jonathan M. Levy, Luke W. Koblan, Andrew T. Nelson, David Liu, Andrew V. Anzalone, Chonghui Cheng, Erik J. Sontheimer and Jaegyoon Ahn and has published in prestigious journals such as Cell, Nature Communications and Genes & Development.

In The Last Decade

Xin D. Gao

16 papers receiving 1.4k citations

Hit Papers

Programmable deletion, re... 2021 2026 2022 2024 2021 2023 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin D. Gao United States 12 1.3k 275 147 141 127 18 1.4k
Michael C. Bassik United States 2 1.8k 1.4× 286 1.0× 193 1.3× 131 0.9× 105 0.8× 2 1.9k
Quan Ho United States 6 1.4k 1.1× 266 1.0× 134 0.9× 141 1.0× 104 0.8× 6 1.6k
Suhani Vora United States 5 1.6k 1.3× 247 0.9× 199 1.4× 109 0.8× 113 0.9× 6 1.7k
Elizabeth Frias Switzerland 4 1.1k 0.8× 265 1.0× 67 0.5× 143 1.0× 69 0.5× 5 1.2k
Marcelle Tuttle United States 6 2.1k 1.6× 358 1.3× 88 0.6× 124 0.9× 161 1.3× 13 2.2k
Christopher D. Guzman United States 5 1.6k 1.3× 312 1.1× 107 0.7× 266 1.9× 101 0.8× 5 1.8k
John C. Manteiga United States 4 2.0k 1.6× 157 0.6× 108 0.7× 67 0.5× 214 1.7× 6 2.1k
Russell C. DeKelver United States 15 2.0k 1.5× 673 2.4× 64 0.4× 179 1.3× 183 1.4× 29 2.2k
Mitchell L. Leibowitz United States 8 1.0k 0.8× 425 1.5× 226 1.5× 130 0.9× 252 2.0× 9 1.3k
Wulan Deng United States 13 1.8k 1.4× 206 0.7× 72 0.5× 61 0.4× 314 2.5× 21 2.0k

Countries citing papers authored by Xin D. Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xin D. Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin D. Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xin D. Gao. A scholar is included among the top collaborators of Xin D. 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 Xin D. Gao. Xin D. Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Liu, Yanlong, et al.. (2025). Preparation and characterization of selenium nanoparticles modified by Tremella polysaccharides and the anti-canine mammary tumor activity. International Journal of Biological Macromolecules. 336. 149410–149410.
2.
He, Xiaoyu, Xin D. Gao, Pengpeng Liu, et al.. (2025). In vivo prime editing rescues photoreceptor degeneration in nonsense mutant retinitis pigmentosa. Nature Communications. 16(1). 2394–2394. 6 indexed citations
3.
Abutaleb, Nadia O., Xin D. Gao, Kevin L. Shores, et al.. (2025). Adenine base editing rescues pathogenic phenotypes in tissue engineered vascular model of Hutchinson-Gilford progeria syndrome. APL Bioengineering. 9(1). 16110–16110.
4.
Gao, Xin D., Amber McElroy, Smriti Pandey, et al.. (2024). Twin Prime Editing Mediated Exon Skipping/Reinsertion for Restored Collagen VII Expression in Recessive Dystrophic Epidermolysis Bullosa. Journal of Investigative Dermatology. 144(12). 2764–2777.e9. 5 indexed citations
5.
Pandey, Smriti, Xin D. Gao, N Krasnow, et al.. (2024). Efficient site-specific integration of large genes in mammalian cells via continuously evolved recombinases and prime editing. Nature Biomedical Engineering. 9(1). 22–39. 70 indexed citations breakdown →
6.
He, Xiaoyu, Xin D. Gao, Fang Li, et al.. (2023). Prime editing: current advances and therapeutic opportunities in human diseases. Science Bulletin. 68(24). 3278–3291. 15 indexed citations
7.
Doman, Jordan L., Smriti Pandey, Monica E. Neugebauer, et al.. (2023). Phage-assisted evolution and protein engineering yield compact, efficient prime editors. Cell. 186(18). 3983–4002.e26. 161 indexed citations breakdown →
8.
Choi, Elliot H., Susie Suh, Andrzej T. Foik, et al.. (2022). In vivo base editing rescues cone photoreceptors in a mouse model of early-onset inherited retinal degeneration. Nature Communications. 13(1). 1830–1830. 60 indexed citations
9.
Liu, Pengpeng, Ogooluwa Ojelabi, Xin D. Gao, et al.. (2022). Adenine Base Editing In Vivo with a Single Adeno-Associated Virus Vector. PubMed. 1(3). 285–299. 43 indexed citations
10.
Anzalone, Andrew V., Xin D. Gao, Andrew T. Nelson, et al.. (2021). Programmable deletion, replacement, integration and inversion of large DNA sequences with twin prime editing. Nature Biotechnology. 40(5). 731–740. 376 indexed citations breakdown →
11.
Zhang, Honghong, Rhonda L. Brown, Yong Wei, et al.. (2019). CD44 splice isoform switching determines breast cancer stem cell state. Genes & Development. 33(3-4). 166–179. 165 indexed citations
12.
Amrani, Nadia, Xin D. Gao, Pengpeng Liu, et al.. (2018). NmeCas9 is an intrinsically high-fidelity genome-editing platform. Genome biology. 19(1). 214–214. 96 indexed citations
13.
Lee, Jooyoung, Aamir Mir, Alireza Edraki, et al.. (2018). Potent Cas9 Inhibition in Bacterial and Human Cells by AcrIIC4 and AcrIIC5 Anti-CRISPR Proteins. mBio. 9(6). 79 indexed citations
14.
Gao, Xin D., Tomás Rodríguez, & Erik J. Sontheimer. (2018). Adapting dCas9-APEX2 for subnuclear proteomic profiling. Methods in enzymology on CD-ROM/Methods in enzymology. 616. 365–383. 3 indexed citations
15.
Harvey, Samuel E., Yilin Xu, Xiaodan Lin, et al.. (2018). Coregulation of alternative splicing by hnRNPM and ESRP1 during EMT. RNA. 24(10). 1326–1338. 55 indexed citations
16.
Gao, Xin D., Li‐Chun Tu, Aamir Mir, et al.. (2018). C-BERST: defining subnuclear proteomic landscapes at genomic elements with dCas9–APEX2. Nature Methods. 15(6). 433–436. 96 indexed citations
17.
Gao, Xin D., Xin Gao, Li‐Chun Tu, et al.. (2018). Mapping subnuclear proteomes onto genome architecture via C-BERST. Protocol Exchange. 1 indexed citations
18.
Xu, Yilin, Xin D. Gao, Jae‐Hyung Lee, et al.. (2014). Cell type-restricted activity of hnRNPM promotes breast cancer metastasis via regulating alternative splicing. Genes & Development. 28(11). 1191–1203. 186 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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