Xin D. Gao

2.1k citations
18 papers · 1.4k indexed · 3 hit papers · h-index 12
Topics
CRISPR and Genetic Engineering (11 papers)RNA modifications and cancer (4 papers)RNA Research and Splicing (4 papers)

In The Last Decade

Xin D. Gao

16 papers receiving 1.4k citations

Hit Papers

Programmable deletion, replacement, integration and inver...2021202620222024202120232024100200300

Peers

Xin D. Gao
Comparison fields: 5 of 70
  • Molecular Biology 1.3k
  • Genetics 275
  • Cancer Research 147
  • Oncology 141
  • Plant Science 127
Replace Michael C. Bassik with:
Michael C. Bassik United States
John C. Manteiga United States
Quan Ho United States
Elizabeth Frias Switzerland
Martin Del Castillo Velasco‐Herrera United Kingdom
Russell C. DeKelver United States
Wulan Deng United States
Hiroko Koike-Yusa United Kingdom
Christopher D. Guzman United States
Suhani Vora United States
Xin D. Gao relative to Michael C. Bassik United States Michael C. Bassik's profile →
Citations per field
00.5×2.7×
Michael C. Bassik · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 6
3 0
4 5
5
Efficient site-specific integration of large genes in mammalian cells via continuously evolved recombinases and prime editingbreakdown →
70
6 15
7
Phage-assisted evolution and protein engineering yield compact, efficient prime editorsbreakdown →
161
8 60
9 43
10
Programmable deletion, replacement, integration and inversion of large DNA sequences with twin prime editingbreakdown →
376
11 165
12 3
13 79
14 96
15 55
16 96
17 1
18 186

About Xin D. Gao

Xin D. Gao is a scholar working on Molecular Biology, Genetics and Cancer Research, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Business and International Management (95 citations), Aging (39 citations) and Molecular Biology (1.3k citations). Xin D. Gao has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Aditya Raguram, Andrew V. Anzalone, Jonathan M. Levy, Luke W. Koblan, Andrew T. Nelson, Jaron A. M. Mercer, David Liu, Chonghui Cheng, Erik J. Sontheimer and Yilin Xu. Their work appears in journals such as Cell, Nature Communications and Genes & Development.

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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