Countries citing scholars working at Shanghai Center For Bioinformation Technology
Since Specialization
Citations
This map shows the geographic impact of research produced by authors working at Shanghai Center For Bioinformation Technology. 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 papers produced at Shanghai Center For Bioinformation Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanghai Center For Bioinformation Technology more than expected).
Fields of papers published by authors at Shanghai Center For Bioinformation Technology
This network shows the impact of papers affiliated with Shanghai Center For Bioinformation Technology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Shanghai Center For Bioinformation Technology at the time of their publication.
About Shanghai Center For Bioinformation Technology
In recent decades, authors affiliated with Shanghai Center For Bioinformation Technology have published 1.1k papers, which have received a total of 41.7k indexed citations . Scholars at this organization have produced 701 papers in Molecular Biology, 135 papers in Cancer Research, 16 papers in Aging, 74 papers in Computational Theory and Mathematics and 104 papers in Genetics on the topics of Bioinformatics and Genomic Networks (99 papers), RNA modifications and cancer (89 papers), RNA and protein synthesis mechanisms (85 papers), Genomics and Phylogenetic Studies (77 papers), Machine Learning in Bioinformatics (73 papers), Computational Drug Discovery Methods (72 papers), Protein Structure and Dynamics (64 papers) and Single-cell and spatial transcriptomics (62 papers). Their work is cited by papers focused on Cancer Research (5.0k citations), Molecular Biology (23.8k citations), Aging (526 citations), Computational Theory and Mathematics (2.6k citations) and Immunology (2.9k citations). Authors at Shanghai Center For Bioinformation Technology collaborate with scholars in China, United States and Singapore and have published in prestigious journals including PLoS ONE, Nucleic Acids Research, BMC Bioinformatics, BMC Genomics and Genomics Proteomics & Bioinformatics. Some of Shanghai Center For Bioinformation Technology's most productive authors include Yixue Li, Zhu Chen, Zhenyi Wang, Yu Zong Chen, Yu‐Dong Cai, Zhang Zhang, Lu Xie, Haifeng Chen, Tao Huang and Yang Zhong.
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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