Guoshi Chai

1.0k total citations
10 papers, 319 citations indexed

About

Guoshi Chai is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Guoshi Chai has authored 10 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Guoshi Chai's work include CRISPR and Genetic Engineering (4 papers), RNA modifications and cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). Guoshi Chai is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), RNA modifications and cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). Guoshi Chai collaborates with scholars based in China and Canada. Guoshi Chai's co-authors include Jian Huang, Feng‐Biao Guo, Guan‐Zheng Luo, Min Yu, Yuli Zhao, Hong‐Li Hua, Bifang He, Nini Rao, Chuan Dong and Shuo Liu and has published in prestigious journals such as Nucleic Acids Research, Nature Methods and Cell Reports.

In The Last Decade

Guoshi Chai

9 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guoshi Chai China	8	296	41	39	39	29	10	319
Hong‐Li Hua China	10	205 0.7×	13 0.3×	33 0.8×	44 1.1×	24 0.8×	18	306
Ammar Tareen United States	6	291 1.0×	16 0.4×	19 0.5×	23 0.6×	72 2.5×	7	347
Vasanthi Ramachandiran United States	9	220 0.7×	8 0.2×	33 0.8×	38 1.0×	27 0.9×	11	306
Cynthia L. Hendrickson United States	7	168 0.6×	32 0.8×	26 0.7×	6 0.2×	44 1.5×	9	247
Nikolay A. Aleksashin United States	8	343 1.2×	42 1.0×	21 0.5×	7 0.2×	60 2.1×	10	393
Farzad Jamshidi United States	6	231 0.8×	10 0.2×	32 0.8×	26 0.7×	99 3.4×	15	307
Yanjun Duan China	5	165 0.6×	42 1.0×	46 1.2×	24 0.6×	71 2.4×	11	240
Bifang He China	14	415 1.4×	20 0.5×	55 1.4×	164 4.2×	7 0.2×	28	484
Stefanie Kaufmann Germany	5	331 1.1×	28 0.7×	13 0.3×	30 0.8×	22 0.8×	6	370
Nicholas Spellmon United States	9	210 0.7×	13 0.3×	16 0.4×	10 0.3×	34 1.2×	16	291

Countries citing papers authored by Guoshi Chai

Since Specialization

Citations

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

Fields of papers citing papers by Guoshi Chai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoshi Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Guoshi Chai. A scholar is included among the top collaborators of Guoshi Chai 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 Guoshi Chai. Guoshi Chai 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:

10 of 10 papers shown

1.

Zhang, Leping, Zhe Xu, Jing Jia, et al.. (2025). Age-dependent accumulation of mitochondrial tRNA mutations in mouse kidneys linked to mitochondrial kidney diseases. Nature Aging. 5(7). 1317–1339. 2 indexed citations

2.

Chai, Guoshi, et al.. (2025). Comprehensive analysis of m6A-seq data reveals distinct features of conserved and unique m6A sites in mammals. RNA. 31(7). 1013–1027.

3.

Chen, Weizhong, Na Tang, Guoshi Chai, et al.. (2021). Targeted genetic screening in bacteria with a Cas12k-guided transposase. Cell Reports. 36(9). 109635–109635. 24 indexed citations

4.

Zhang, Zhang, Tao Chen, Hong-Xuan Chen, et al.. (2021). Systematic calibration of epitranscriptomic maps using a synthetic modification-free RNA library. Nature Methods. 18(10). 1213–1222. 71 indexed citations

5.

Zhao, Qingquan, Yuli Zhao, Guoshi Chai, et al.. (2021). Targeted RNA N⁶‐Methyladenosine Demethylation Controls Cell Fate Transition in Human Pluripotent Stem Cells. Advanced Science. 8(11). e2003902–e2003902. 27 indexed citations

6.

Tang, Zhongjie, Shaoqi Chen, Ang Chen, et al.. (2019). CasPDB: an integrated and annotated database for Cas proteins from bacteria and archaea. Database. 2019. 13 indexed citations

7.

He, Bifang, Guoshi Chai, Juanjuan Kang, et al.. (2018). Biopanning data bank 2018: hugging next generation phage display. Database. 2018. 19 indexed citations

8.

Dong, Chuan, Ge‐Fei Hao, Hong‐Li Hua, et al.. (2017). Anti-CRISPRdb: a comprehensive online resource for anti-CRISPR proteins. Nucleic Acids Research. 46(D1). D393–D398. 61 indexed citations

9.

Chai, Guoshi, et al.. (2017). HMMCAS: A Web Tool for the Identification and Domain Annotations of CAS Proteins. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(4). 1313–1315. 31 indexed citations

10.

He, Bifang, Guoshi Chai, Zhiqiang Yan, et al.. (2015). BDB: biopanning data bank. Nucleic Acids Research. 44(D1). D1127–D1132. 71 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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