Qiwei Shan

5.9k total citations · 2 hit papers
10 papers, 2.3k citations indexed

About

Qiwei Shan is a scholar working on Molecular Biology, Plant Science and Small Animals. According to data from OpenAlex, Qiwei Shan has authored 10 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Plant Science and 1 paper in Small Animals. Recurrent topics in Qiwei Shan's work include CRISPR and Genetic Engineering (6 papers), Chromosomal and Genetic Variations (4 papers) and Plant Virus Research Studies (3 papers). Qiwei Shan is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Chromosomal and Genetic Variations (4 papers) and Plant Virus Research Studies (3 papers). Qiwei Shan collaborates with scholars based in China, United States and Spain. Qiwei Shan's co-authors include Caixia Gao, Yanpeng Wang, Yi Zhang, Jin‐Long Qiu, Jin‐Xing Liu, Xi Cheng, Jun Li, Kunling Chen, Kang Zhang and Francisco Barro and has published in prestigious journals such as Nature Biotechnology, The Plant Journal and Nature Protocols.

In The Last Decade

Qiwei Shan

8 papers receiving 2.3k citations

Hit Papers

Simultaneous editing of three homoeoalleles in hexaploid ... 2014 2026 2018 2022 2014 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiwei Shan China 6 1.9k 1.8k 259 251 206 10 2.3k
Kaijun Zhao China 23 1.6k 0.8× 1.2k 0.7× 148 0.6× 269 1.1× 139 0.7× 55 2.0k
Changtian Pan China 20 1.4k 0.7× 1.4k 0.8× 185 0.7× 128 0.5× 99 0.5× 40 1.8k
Masafumi Mikami Japan 17 1.3k 0.7× 1.6k 0.9× 259 1.0× 162 0.6× 130 0.6× 26 1.9k
Yingxiao Zhang United States 17 1.1k 0.6× 1.7k 1.0× 328 1.3× 161 0.6× 140 0.7× 27 1.9k
Zhengyan Feng China 10 1.8k 1.0× 1.7k 1.0× 277 1.1× 131 0.5× 92 0.4× 10 2.3k
Aimee A. Malzahn United States 13 1.4k 0.7× 1.9k 1.1× 343 1.3× 170 0.7× 147 0.7× 17 2.1k
Simon Sretenovic United States 20 1.1k 0.6× 1.6k 0.9× 281 1.1× 177 0.7× 142 0.7× 28 1.8k
Zhaohui Zhong China 19 1.4k 0.7× 2.0k 1.1× 307 1.2× 204 0.8× 141 0.7× 30 2.2k
Shaun J. Curtin United States 17 1.6k 0.8× 1.3k 0.7× 124 0.5× 113 0.5× 127 0.6× 36 1.9k
Kangquan Yin China 18 1.2k 0.6× 1.1k 0.6× 156 0.6× 116 0.5× 88 0.4× 31 1.6k

Countries citing papers authored by Qiwei Shan

Since Specialization
Citations

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

Fields of papers citing papers by Qiwei Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiwei Shan

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

All Works

10 of 10 papers shown
1.
Li, Zhikun, Libin Wang, Leyun Wang, et al.. (2025). Adult bi-paternal offspring generated through direct modification of imprinted genes in mammals. Cell stem cell. 32(3). 361–374.e6. 3 indexed citations
3.
Liang, Xiaotong, et al.. (2021). The Balance of Power: A Comparison of US-China Grand Strategy. Advances in Social Science, Education and Humanities Research. 1 indexed citations
4.
Gil‐Humanes, Javier, Yanpeng Wang, Zhen Liang, et al.. (2016). High‐efficiency gene targeting in hexaploid wheat using DNA replicons and CRISPR /Cas9. The Plant Journal. 89(6). 1251–1262. 252 indexed citations
5.
Shan, Qiwei, Yi Zhang, Kunling Chen, Kang Zhang, & Caixia Gao. (2015). Creation of fragrant rice by targeted knockout of the OsBADH2 gene using TALEN technology. Plant Biotechnology Journal. 13(6). 791–800. 233 indexed citations
6.
Shan, Qiwei & Caixia Gao. (2015). Research progress of genome editing and derivative technologies in plants.. PubMed. 37(10). 953–73. 6 indexed citations
7.
Chen, Kunling, Qiwei Shan, & Caixia Gao. (2014). An efficient TALEN mutagenesis system in rice. Methods. 69(1). 2–8. 19 indexed citations
8.
Shan, Qiwei, Yanpeng Wang, Jun Li, & Caixia Gao. (2014). Genome editing in rice and wheat using the CRISPR/Cas system. Nature Protocols. 9(10). 2395–2410. 506 indexed citations breakdown →
9.
Wang, Yanpeng, Xi Cheng, Qiwei Shan, et al.. (2014). Simultaneous editing of three homoeoalleles in hexaploid bread wheat confers heritable resistance to powdery mildew. Nature Biotechnology. 32(9). 947–951. 1324 indexed citations breakdown →
10.
T, Li, John M. Hawdon, Xiaohui Gong, et al.. (1999). [Sequencing of cytochrome C oxidase 1 gene of Ancylostoma duodenale and Necator americanus].. PubMed. 17(2). 81–3. 1 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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