Computational and Structural Biotechnology Journal · 1×
×1.25k/4kCTM
×0.517k/32kMB
×2.54k/1kOC
×0.42k/5kCR
×2.0326/161TOXIC
Citations per year
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Countries where authors publish in Computational Biology and Chemistry
Since Specialization
Citations
This map shows the geographic impact of research published in Computational Biology and Chemistry. 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 published in Computational Biology and Chemistry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computational Biology and Chemistry more than expected).
Fields of papers published in Computational Biology and Chemistry
This network shows the impact of papers published in Computational Biology and Chemistry. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Computational Biology and Chemistry.
About Computational Biology and Chemistry
The 2.6k papers published in Computational Biology and Chemistry in the last decades have received a total of 33.8k indexed citations . Papers published in Computational Biology and Chemistry usually cover Computational Theory and Mathematics (472 papers), Molecular Biology (1.7k papers), Cancer Research (147 papers), Toxicology (30 papers) and Organic Chemistry (241 papers) specifically the topics of Computational Drug Discovery Methods (469 papers), Protein Structure and Dynamics (299 papers), Machine Learning in Bioinformatics (293 papers), RNA and protein synthesis mechanisms (286 papers), Bioinformatics and Genomic Networks (224 papers), Genomics and Phylogenetic Studies (203 papers), Gene expression and cancer classification (157 papers) and Synthesis and biological activity (134 papers). The most active scholars publishing in Computational Biology and Chemistry are Robert E. Ulanowicz, Jan Gorodkin, M. James C. Crabbe, Hervé Seligmann, William R. Taylor, Christian Michel, Li‐Yeh Chuang, Cheng‐Hong Yang, Hsueh‐Wei Chang and Zengyou He.
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.