Chongwei Bi

1.0k total citations
27 papers, 612 citations indexed

About

Chongwei Bi is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Chongwei Bi has authored 27 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Genetics. Recurrent topics in Chongwei Bi's work include CRISPR and Genetic Engineering (5 papers), Biochemical and Structural Characterization (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Chongwei Bi is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Biochemical and Structural Characterization (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Chongwei Bi collaborates with scholars based in China, Saudi Arabia and Canada. Chongwei Bi's co-authors include Mo Li, Lin Wang, Dacheng Wang, Benzhi Cai, Xiaobo Zhong, Xin Gao, Sheng Wang, Fengzhi Ding, Qi Huang and Yu Li and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Chongwei Bi

26 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chongwei Bi China 15 408 111 53 52 47 27 612
Xiaoyu Zhang China 17 421 1.0× 206 1.9× 69 1.3× 43 0.8× 72 1.5× 67 899
Yuhang Liu China 14 292 0.7× 110 1.0× 49 0.9× 116 2.2× 52 1.1× 52 726
Si Li China 15 421 1.0× 100 0.9× 21 0.4× 46 0.9× 34 0.7× 51 747
Ching-Yun Chang United States 6 743 1.8× 53 0.5× 33 0.6× 51 1.0× 70 1.5× 8 1.1k
Ruyi Zhang China 16 641 1.6× 127 1.1× 27 0.5× 52 1.0× 113 2.4× 44 935
Gholam Basati Iran 14 259 0.6× 156 1.4× 20 0.4× 72 1.4× 32 0.7× 46 562
Dandan Chen China 16 321 0.8× 83 0.7× 37 0.7× 86 1.7× 63 1.3× 52 825
Ilaria Granata Italy 17 437 1.1× 51 0.5× 49 0.9× 64 1.2× 40 0.9× 39 745
José Pérez del Palacio Spain 17 277 0.7× 98 0.9× 29 0.5× 68 1.3× 41 0.9× 41 577

Countries citing papers authored by Chongwei Bi

Since Specialization
Citations

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

Fields of papers citing papers by Chongwei Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongwei Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Chongwei Bi. A scholar is included among the top collaborators of Chongwei Bi 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 Chongwei Bi. Chongwei Bi 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
1.
Bi, Chongwei, et al.. (2025). Prevalent integration of genomic repetitive and regulatory elements and donor sequences at CRISPR-Cas9-induced breaks. Communications Biology. 8(1). 94–94. 3 indexed citations
2.
Wang, Mengge, Yingzi Zhang, Chongwei Bi, & Mo Li. (2025). CRISPR-Cas9-induced double-strand breaks disrupt maintenance of epigenetic information. Genome biology. 26(1). 411–411.
3.
4.
Zhang, Yingzi, Chongwei Bi, Seba Nadeef, et al.. (2024). NanoRanger enables rapid single-base-pair resolution of genomic disorders. Med. 5(10). 1307–1325.e3. 1 indexed citations
5.
Bi, Chongwei, Lin Wang, Yong Fan, et al.. (2023). Quantitative haplotype-resolved analysis of mitochondrial DNA heteroplasmy in Human single oocytes, blastoids, and pluripotent stem cells. Nucleic Acids Research. 51(8). 3793–3805. 12 indexed citations
6.
Bi, Chongwei, Lin Wang, Yong Fan, et al.. (2023). Single-cell individual full-length mtDNA sequencing by iMiGseq uncovers unexpected heteroplasmy shifts in mtDNA editing. Nucleic Acids Research. 51(8). e48–e48. 15 indexed citations
7.
Zhang, Yingzi, Arun Pandian Chandrasekaran, Chongwei Bi, & Mo Li. (2023). Quantification of Genetic Heterogeneity Using Long‐Read Targeted Individual DNA Molecule Sequencing. Current Protocols. 3(9). e888–e888. 3 indexed citations
8.
Ramos‐Mandujano, Gerardo, Raik Grünberg, Yingzi Zhang, et al.. (2023). An open-source, automated, and cost-effective platform for COVID-19 diagnosis and rapid portable genomic surveillance using nanopore sequencing. Scientific Reports. 13(1). 20349–20349. 4 indexed citations
9.
Bi, Chongwei, Gerardo Ramos‐Mandujano, & Mo Li. (2022). NIRVANA for Simultaneous Detection and Mutation Surveillance of SARS-CoV-2 and Co-infections of Multiple Respiratory Viruses. Methods in molecular biology. 2511. 79–88. 2 indexed citations
10.
Bi, Chongwei, Gerardo Ramos‐Mandujano, Sharif Hala, et al.. (2021). Simultaneous detection and mutation surveillance of SARS-CoV-2 and multiple respiratory viruses by rapid field-deployable sequencing. Med. 2(6). 689–700.e4. 22 indexed citations
11.
Bi, Chongwei, Lin Wang, Xuan Zhou, et al.. (2020). Long-read individual-molecule sequencing reveals CRISPR-induced genetic heterogeneity in human ESCs. Genome biology. 21(1). 213–213. 23 indexed citations
12.
Li, Yu, Renmin Han, Chongwei Bi, et al.. (2018). DeepSimulator: a deep simulator for Nanopore sequencing. Bioinformatics. 34(17). 2899–2908. 57 indexed citations
13.
Ma, Wenya, Fengzhi Ding, Xiuxiu Wang, et al.. (2018). By Targeting Atg7 MicroRNA-143 Mediates Oxidative Stress-Induced Autophagy of c-Kit+ Mouse Cardiac Progenitor Cells. EBioMedicine. 32. 182–191. 26 indexed citations
14.
Ma, Wenya, Fang He, Fengzhi Ding, et al.. (2018). Pre-Treatment with Melatonin Enhances Therapeutic Efficacy of Cardiac Progenitor Cells for Myocardial Infarction. Cellular Physiology and Biochemistry. 47(3). 1287–1298. 16 indexed citations
15.
Liang, Jing, Kun Yin, Xuefeng Cao, et al.. (2017). Attenuation of Low Ambient Temperature-Induced Myocardial Hypertrophy by Atorvastatin via Promoting Bcl-2 Expression. Cellular Physiology and Biochemistry. 41(1). 286–295. 20 indexed citations
16.
Yang, Fan, Gege Yan, Yuan Li, et al.. (2016). Astragalus Polysaccharide Attenuated Iron Overload-Induced Dysfunction of Mesenchymal Stem Cells via Suppressing Mitochondrial ROS. Cellular Physiology and Biochemistry. 39(4). 1369–1379. 65 indexed citations
17.
18.
Wang, Lin, Chongwei Bi, Bingrun Liu, et al.. (2015). The therapeutic effect of chlorogenic acid against Staphylococcus aureus infection through sortase A inhibition. Frontiers in Microbiology. 6. 1031–1031. 74 indexed citations
19.
Wang, Lin, Chongwei Bi, Tiedong Wang, et al.. (2015). A coagulase-negative and non-haemolytic strain ofStaphylococcus aureusfor investigating the roles of SrtA in a murine model of bloodstream infection. Pathogens and Disease. 73(6). ftv042–ftv042. 9 indexed citations
20.
Yin, Kun, Liang Zhao, Dan Feng, et al.. (2015). Resveratrol Attenuated Low Ambient Temperature-Induced Myocardial Hypertrophy via Inhibiting Cardiomyocyte Apoptosis. Cellular Physiology and Biochemistry. 35(6). 2451–2462. 32 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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