Kunli Qu

787 total citations · 1 hit paper
7 papers, 273 citations indexed

About

Kunli Qu is a scholar working on Molecular Biology, Genetics and Business and International Management. According to data from OpenAlex, Kunli Qu has authored 7 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Business and International Management. Recurrent topics in Kunli Qu's work include CRISPR and Genetic Engineering (6 papers), Animal Genetics and Reproduction (2 papers) and RNA modifications and cancer (1 paper). Kunli Qu is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Animal Genetics and Reproduction (2 papers) and RNA modifications and cancer (1 paper). Kunli Qu collaborates with scholars based in China, Denmark and Sweden. Kunli Qu's co-authors include Yonglun Luo, Xiaoguang Pan, Giulia I. Corsi, Ferhat Alkan, Jan Gorodkin, Peng Han, Qiupeng Lin, Yunjia Li, Jiacheng Hu and Guanwen Liu and has published in prestigious journals such as Cell, Nature Communications and Cellular and Molecular Life Sciences.

In The Last Decade

Kunli Qu

7 papers receiving 267 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Discovery of deaminase functions by structure-based protein clustering

2023 132 citations Qiupeng Lin, Zixin He et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kunli Qu China	5	235	46	42	17	15	7	273
Khadijeh Zare Iran	8	228 1.0×	27 0.6×	79 1.9×	20 1.2×	11 0.7×	10	285
Shengwei Hu China	5	241 1.0×	141 3.1×	56 1.3×	18 1.1×	13 0.9×	11	309
Jun Zeng China	6	498 2.1×	96 2.1×	71 1.7×	15 0.9×	16 1.1×	11	612
Nhien Thi Nguyen Japan	12	274 1.2×	229 5.0×	32 0.8×	19 1.1×	8 0.5×	19	349
Young-hoon Kim South Korea	5	424 1.8×	84 1.8×	55 1.3×	56 3.3×	40 2.7×	18	499
Alexandre Ottaviani France	7	416 1.8×	62 1.3×	91 2.2×		18 1.2×	8	525
Sara Sharifpoor Canada	6	240 1.0×	19 0.4×	33 0.8×		8 0.5×	6	268
Damian Graczyk Poland	10	377 1.6×	17 0.4×	28 0.7×		14 0.9×	18	440
Linda Lauinger United States	7	180 0.8×	18 0.4×	71 1.7×		16 1.1×	12	293

Countries citing papers authored by Kunli Qu

Since Specialization

Citations

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

Fields of papers citing papers by Kunli Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunli Qu

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Qu, Kunli, et al.. (2023). Comparison of In-Frame Deletion, Homology-Directed Repair, and Prime Editing-Based Correction of Duchenne Muscular Dystrophy Mutations. Biomolecules. 13(5). 870–870. 4 indexed citations

2.

Lin, Qiupeng, Zixin He, Hu Xu, et al.. (2023). Discovery of deaminase functions by structure-based protein clustering. Cell. 186(15). 3182–3195.e14. 132 indexed citations breakdown →

3.

Corsi, Giulia I., Kunli Qu, Ferhat Alkan, et al.. (2022). CRISPR/Cas9 gRNA activity depends on free energy changes and on the target PAM context. Nature Communications. 13(1). 3006–3006. 59 indexed citations

4.

Xiang, Xi, Xiaoguang Pan, Zhanying Dong, et al.. (2021). Efficient correction of Duchenne muscular dystrophy mutations by SpCas9 and dual gRNAs. Molecular Therapy — Nucleic Acids. 24. 403–415. 22 indexed citations

5.

Zheng, Tianyu, Jinrong Huang, Xi Xiang, et al.. (2021). Systematical analysis reveals a strong cancer relevance of CREB1-regulated genes. Cancer Cell International. 21(1). 530–530. 18 indexed citations

6.

Xiang, Xi, Conghui Li, Peng Han, et al.. (2019). LION: a simple and rapid method to achieve CRISPR gene editing. Cellular and Molecular Life Sciences. 76(13). 2633–2645. 2 indexed citations

7.

Li, Ming, Jiali Gao, Yan Tang, et al.. (2018). Traditional Herbal Medicine-Derived Sulforaphene LFS-01 Reverses Colitis in Mice by Selectively Altering the Gut Microbiota and Promoting Intestinal Gamma-Delta T Cells. Frontiers in Pharmacology. 8. 959–959. 36 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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