Shuai Jin

3.9k citations
16 papers · 2.7k indexed · 6 hit papers · h-index 13
Topics
CRISPR and Genetic Engineering (12 papers)Plant Virus Research Studies (7 papers)Chromosomal and Genetic Variations (6 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Shuai Jin

15 papers receiving 2.6k citations

Hit Papers

Prime genome editing in rice and wheat201820262020202320202019201820182021100200300400500

Peers

Shuai Jin
Comparison fields: 5 of 86
  • Molecular Biology 2.5k
  • Plant Science 1.2k
  • Genetics 463
  • Insect Science 244
  • Business and International Management 210
Replace Aaron W. Hummel with:
Aaron W. Hummel United States
Takayuki Arazoe Japan
Zenpei Shimatani Japan
Zixu Zhu China
Heidi Scholze Germany
Simone Hahn Germany
Sabine Kay Germany
Matthew Moscou United Kingdom
Jiyeon Kweon South Korea
Benjamin L. Oakes United States
Shuai Jin relative to Aaron W. Hummel United States Aaron W. Hummel's profile →
Citations per field
00.5×3.5×
Aaron W. Hummel · 1×
Citations per year

Countries citing papers authored by Shuai Jin

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Jin

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 23
5 32
6
The CRISPR-Cas toolbox and gene editing technologiesbreakdown →
254
7
High-efficiency prime editing with optimized, paired pegRNAs in plantsbreakdown →
224
8 99
9
Prime genome editing in rice and wheatbreakdown →
556
10 106
11 56
12 13
13
Cytosine, but not adenine, base editors induce genome-wide off-target mutations in ricebreakdown →
479
14
Expanded base editing in rice and wheat using a Cas9-adenosine deaminase fusionbreakdown →
336
15
Efficient C-to-T base editing in plants using a fusion of nCas9 and human APOBEC3Abreakdown →
308
16 171

About Shuai Jin

Shuai Jin is a scholar working on Transplantation, Aging and Physiology, having authored 16 papers that have together received 2.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Plant Virus Research Studies (7 papers) and Chromosomal and Genetic Variations (6 papers). The work is most often cited by research in Business and International Management (210 citations), Aging (94 citations) and Molecular Biology (2.5k citations). Shuai Jin has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Caixia Gao, Yanpeng Wang, Yuan Zong, Qiupeng Lin, Zixu Zhu, Guanwen Liu, Chao Li, Dingbo Zhang, Jin‐Long Qiu and Qiang Gao. Their work appears in journals such as Nature, Science and Cell.

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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