Qiupeng Lin

3.4k total citations · 5 hit papers
19 papers, 2.3k citations indexed

About

Qiupeng Lin is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Qiupeng Lin has authored 19 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Plant Science and 3 papers in Biotechnology. Recurrent topics in Qiupeng Lin's work include CRISPR and Genetic Engineering (16 papers), RNA and protein synthesis mechanisms (8 papers) and Plant Virus Research Studies (7 papers). Qiupeng Lin is often cited by papers focused on CRISPR and Genetic Engineering (16 papers), RNA and protein synthesis mechanisms (8 papers) and Plant Virus Research Studies (7 papers). Qiupeng Lin collaborates with scholars based in China, Canada and United States. Qiupeng Lin's co-authors include Caixia Gao, Shuai Jin, Guanwen Liu, Zixu Zhu, Yuan Zong, Yanpeng Wang, Chenxiao Xue, Shengxing Wang, Jin‐Long Qiu and Andrew V. Anzalone and has published in prestigious journals such as Cell, Nature Biotechnology and Molecular Cell.

In The Last Decade

Qiupeng Lin

19 papers receiving 2.2k citations

Hit Papers

Prime genome editing in rice and wheat 2016 2026 2019 2022 2020 2016 2021 2021 2023 100 200 300 400 500

Peers

Qiupeng Lin
Comparison fields: 5 of 93
  • Molecular Biology 1.8k
  • Plant Science 1.1k
  • Genetics 372
  • Biomedical Engineering 220
  • Insect Science 174
Replace Shihua Yang with:
Shihua Yang China
Michael E. Lee United States
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Sheng Huang China
Junjie Tan China
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Jongjin Park South Korea
Shihua Yang China View profile →
Citations per field, relative to Qiupeng Lin
Qiupeng Lin · 1×
Citations per year, relative to Qiupeng Lin
Qiupeng Lin · 1×

Countries citing papers authored by Qiupeng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Qiupeng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiupeng Lin

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 5
2 4
3 1
4 22
5
Discovery of deaminase functions by structure-based protein clustering breakdown →
132
6 32
7
The CRISPR-Cas toolbox and gene editing technologies breakdown →
254
8 28
9
High-efficiency prime editing with optimized, paired pegRNAs in plants breakdown →
224
10 99
11
Prime genome editing in rice and wheat breakdown →
556
12 56
13 189
14 162
15 104
16 48
17 46
18 1
19
Reassessment of the Four Yield-related Genes Gn1a, DEP1, GS3, and IPA1 in Rice Using a CRISPR/Cas9 System breakdown →
331

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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