Yiping Qi

11.9k total citations · 6 hit papers
123 papers, 6.7k citations indexed

About

Yiping Qi is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Yiping Qi has authored 123 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Molecular Biology, 85 papers in Plant Science and 18 papers in Insect Science. Recurrent topics in Yiping Qi's work include CRISPR and Genetic Engineering (98 papers), Plant Virus Research Studies (47 papers) and Chromosomal and Genetic Variations (33 papers). Yiping Qi is often cited by papers focused on CRISPR and Genetic Engineering (98 papers), Plant Virus Research Studies (47 papers) and Chromosomal and Genetic Variations (33 papers). Yiping Qi collaborates with scholars based in United States, China and Maldives. Yiping Qi's co-authors include Yong Zhang, Aimee A. Malzahn, Simon Sretenovic, Levi G. Lowder, Yingxiao Zhang, Xuelian Zheng, Daniel F. Voytas, Xu Tang, Zhaohui Zhong and Fumiaki Katagiri and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yiping Qi

117 papers receiving 6.5k citations

Hit Papers

A CRISPR/Cas9 Toolbox for Multiplexed Plant Genome Editin... 2015 2026 2018 2022 2015 2017 2019 2021 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiping Qi United States 43 5.7k 4.6k 862 578 487 123 6.7k
Jin‐Long Qiu China 33 5.5k 1.0× 5.8k 1.3× 649 0.8× 686 1.2× 389 0.8× 57 8.0k
Shuangxia Jin China 45 4.2k 0.7× 3.6k 0.8× 538 0.6× 323 0.6× 486 1.0× 122 5.6k
Yinong Yang United States 38 4.4k 0.8× 6.2k 1.4× 859 1.0× 473 0.8× 371 0.8× 67 7.7k
Kabin Xie China 27 3.5k 0.6× 3.5k 0.8× 373 0.4× 372 0.6× 153 0.3× 59 4.8k
Fabien Nogué France 34 2.5k 0.5× 2.5k 0.5× 246 0.3× 217 0.4× 175 0.4× 123 3.5k
Frank F. White United States 53 3.8k 0.7× 9.3k 2.0× 553 0.6× 483 0.8× 722 1.5× 117 10.5k
S. Carl Falco United States 25 3.3k 0.6× 1.8k 0.4× 162 0.2× 490 0.8× 338 0.7× 35 3.9k
Diego Orzáez Spain 34 3.2k 0.6× 2.3k 0.5× 205 0.2× 261 0.5× 741 1.5× 86 4.2k
Syed Shan‐e‐Ali Zaidi Pakistan 23 1.1k 0.2× 1.8k 0.4× 485 0.6× 105 0.2× 121 0.2× 41 2.1k
Wendy Harwood United Kingdom 26 1.7k 0.3× 2.0k 0.4× 101 0.1× 244 0.4× 486 1.0× 83 2.5k

Countries citing papers authored by Yiping Qi

Since Specialization
Citations

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

Fields of papers citing papers by Yiping Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiping Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Yiping Qi. A scholar is included among the top collaborators of Yiping Qi 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 Yiping Qi. Yiping Qi 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.
Zebell, Sophia G., Carlos Martí‐Gómez, B. P. Fitzgerald, et al.. (2025). Cryptic variation fuels plant phenotypic change through hierarchical epistasis. Nature. 644(8078). 984–992. 1 indexed citations
2.
Luo, Weifeng, Qing Ji, Alan L. Eggenberger, et al.. (2025). Enhancing biolistic plant transformation and genome editing with a flow guiding barrel. Nature Communications. 16(1). 5624–5624. 4 indexed citations
3.
Cheng, Yanhao, et al.. (2025). A comprehensive all-in-one CRISPR toolbox for large-scale screens in plants. The Plant Cell. 37(4). 2 indexed citations
4.
Arraes, Fabrício Barbosa Monteiro, Isabela Tristan Lourenço‐Tessutti, Antônio Costa de Oliveira, et al.. (2024). CRISPR/Cas genome editing in soybean: challenges and new insights to overcome existing bottlenecks. Journal of Advanced Research. 73. 53–72. 9 indexed citations
5.
Karmakar, Subhasis, Priya Das, Sagar Banerjee, et al.. (2024). Optimized protoplast isolation and transfection with a breakpoint: accelerating Cas9/sgRNA cleavage efficiency validation in monocot and dicot. aBIOTECH. 5(2). 151–168. 18 indexed citations
6.
Liu, Shishi, Yao He, Tingting Fan, et al.. (2024). PAM‐relaxed and temperature‐tolerant CRISPR‐Mb3Cas12a single transcript unit systems for efficient singular and multiplexed genome editing in rice, maize, and tomato. Plant Biotechnology Journal. 23(1). 156–173. 5 indexed citations
7.
Pan, Changtian, Gen Li, Anindya Bandyopadhyay, & Yiping Qi. (2023). Guide RNA library-based CRISPR screens in plants: opportunities and challenges. Current Opinion in Biotechnology. 79. 102883–102883. 13 indexed citations
8.
Tuncel, Aytug, Changtian Pan, Thorben Sprink, et al.. (2023). Genome-edited foods. Nature Reviews Bioengineering. 1(11). 799–816. 31 indexed citations
9.
Sretenovic, Simon, Yuechao Wu, Yanhao Cheng, et al.. (2023). Genome- and transcriptome-wide off-target analyses of a high-efficiency adenine base editor in tomato. PLANT PHYSIOLOGY. 193(1). 291–303. 11 indexed citations
10.
Wu, Yuechao, Qiurong Ren, Zhaohui Zhong, et al.. (2022). Genome‐wide analyses of PAM‐relaxed Cas9 genome editors reveal substantial off‐target effects by ABE8e in rice. Plant Biotechnology Journal. 20(9). 1670–1682. 40 indexed citations
11.
Cheng, Yanhao, et al.. (2022). Expanding the targeting scope of FokI‐dCas nuclease systems with SpRY and Mb2Cas12a. Biotechnology Journal. 17(7). e2100571–e2100571. 3 indexed citations
12.
Ramasamy, Manikandan, et al.. (2022). Applications of CRISPR/Cas13-Based RNA Editing in Plants. Cells. 11(17). 2665–2665. 41 indexed citations
13.
Liu, Degao, Changtian Pan, Ugrappa Nagalakshmi, et al.. (2022). Heritable base-editing in Arabidopsis using RNA viral vectors. PLANT PHYSIOLOGY. 189(4). 1920–1924. 30 indexed citations
14.
Pan, Changtian, Gen Li, Aimee A. Malzahn, et al.. (2022). Boosting plant genome editing with a versatile CRISPR-Combo system. Nature Plants. 8(5). 513–525. 111 indexed citations
15.
Varshney, Rajeev K., Rutwik Barmukh, Manish Roorkiwal, et al.. (2021). Breeding custom‐designed crops for improved drought adaptation. 6 indexed citations
16.
Curtin, Shaun J., Yiping Qi, Lázaro Eustáquio Pereira Peres, Alisdair R. Fernie, & Agustín Zsögön. (2021). Pathways to de novo domestication of crop wild relatives. PLANT PHYSIOLOGY. 188(4). 1746–1756. 35 indexed citations
17.
Ren, Qiurong, Simon Sretenovic, Shishi Liu, et al.. (2021). PAM-less plant genome editing using a CRISPR–SpRY toolbox. Nature Plants. 7(1). 25–33. 166 indexed citations
18.
Pan, Changtian, Kasey Markel, Aimee A. Malzahn, et al.. (2021). CRISPR–Act3.0 for highly efficient multiplexed gene activation in plants. Nature Plants. 7(7). 942–953. 141 indexed citations
19.
Varshney, Rajeev K., Rutwik Barmukh, Manish Roorkiwal, et al.. (2021). Breeding custom‐designed crops for improved drought adaptation. SHILAP Revista de lepidopterología. 2(3). e202100017–e202100017. 68 indexed citations
20.
Shi, Hua, Yiping Qi, Haozhen Nie, et al.. (2013). BR-SIGNALING KINASE1 Physically Associates with FLAGELLIN SENSING2 and Regulates Plant Innate Immunity in Arabidopsis  . The Plant Cell. 25(3). 1143–1157. 204 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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