Guohui Chuai

1.7k citations
24 papers · 976 indexed · 1 hit paper · h-index 14
Topics
CRISPR and Genetic Engineering (12 papers)RNA and protein synthesis mechanisms (7 papers)Single-cell and spatial transcriptomics (6 papers)

In The Last Decade

Guohui Chuai

22 papers receiving 966 citations

Hit Papers

DeepCRISPR: optimized CRISPR guide RNA design by deep lea...20182026202020232018100200300

Peers

Guohui Chuai
Comparison fields: 5 of 93
  • Molecular Biology 827
  • Immunology 107
  • Computational Theory and Mathematics 105
  • Business and International Management 80
  • Genetics 71
Replace Chenyu Zhu with:
Chenyu Zhu China
Sheng Qu China
Jiecong Lin Hong Kong
Edwin E. Jeng United States
Igor Rupniewski United States
Dongyu Xue China
Pawan K. Dhar India
Kaitlyn Gayvert United States
Jia Wei China
Norbert Dojer Poland
Guohui Chuai relative to Chenyu Zhu China Chenyu Zhu's profile →
Citations per field
00.5×8.1×
Chenyu Zhu · 1×
Citations per year

Countries citing papers authored by Guohui Chuai

Since Specialization
Citations

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

Fields of papers citing papers by Guohui Chuai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohui Chuai

This figure shows the co-authorship network connecting the top 25 collaborators of Guohui Chuai. A scholar is included among the top collaborators of Guohui Chuai 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 Guohui Chuai. Guohui Chuai 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
#WorkIndexed citations
1 1
2 2
3 0
4 4
5 2
6 7
7 36
8 83
9 12
10 55
11 2
12 29
13 55
14 20
15 60
16 29
17
DeepCRISPR: optimized CRISPR guide RNA design by deep learningbreakdown →
356
18 15
19 94
20 8

About Guohui Chuai

Guohui Chuai is a scholar working on Business and International Management, Aging and Molecular Biology, having authored 24 papers that have together received 976 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), RNA and protein synthesis mechanisms (7 papers) and Single-cell and spatial transcriptomics (6 papers). The work is most often cited by research in Business and International Management (80 citations), Aging (38 citations) and Molecular Biology (827 citations). Guohui Chuai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qi Liu, Dongyu Xue, Chenyu Zhu, Chi Zhou, Sheng Qu, Jifang Yan, Bin Duan, Qilong Wang, Feng Gu and Jia Wei. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

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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