Shibin Qiu

16 total papers · 491 total citations
8 papers, 338 citations indexed

About

Shibin Qiu is a scholar working on Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shibin Qiu has authored 8 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Shibin Qiu's work include RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and MicroRNA in disease regulation (3 papers). Shibin Qiu is often cited by papers focused on RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and MicroRNA in disease regulation (3 papers). Shibin Qiu collaborates with scholars based in United States. Shibin Qiu's co-authors include Terran Lane, John Burge, Vincent P. Clark and Ljubomir Buturović and has published in prestigious journals such as Nucleic Acids Research, Human Brain Mapping and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

In The Last Decade

Shibin Qiu

8 papers receiving 322 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shibin Qiu 199 55 43 41 32 8 338
Tai-Hsien Ou Yang 122 0.6× 17 0.3× 83 1.9× 14 0.3× 9 0.3× 12 314
Advait Balaji 183 0.9× 40 0.7× 17 0.4× 6 0.1× 24 0.8× 14 301
Jialin Zhang 185 0.9× 37 0.7× 22 0.5× 24 0.6× 4 0.1× 16 298
Tingting Meng 112 0.6× 39 0.7× 53 1.2× 14 0.3× 12 0.4× 14 402
Yongjin Bao 98 0.5× 51 0.9× 63 1.5× 29 0.7× 29 0.9× 15 356
Qiuping Deng 64 0.3× 41 0.7× 23 0.5× 28 0.7× 10 0.3× 14 361
Juan Felipe Beltrán 229 1.2× 30 0.5× 31 0.7× 15 0.4× 11 0.3× 13 378
Sara Kuntz 50 0.3× 85 1.5× 29 0.7× 11 0.3× 12 0.4× 7 298
Christian Wiwie 195 1.0× 64 1.2× 37 0.9× 18 0.4× 9 0.3× 7 324
Tamás Balassa 165 0.8× 21 0.4× 14 0.3× 39 1.0× 15 0.5× 10 334

Countries citing papers authored by Shibin Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Shibin Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibin Qiu

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

All Works

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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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2026