Biopolymers

9.7k papers and 339.1k indexed citations i.

About

The 9.7k papers published in Biopolymers in the last decades have received a total of 339.1k indexed citations. Papers published in Biopolymers usually cover Molecular Biology (7.0k papers), Spectroscopy (1.4k papers) and Organic Chemistry (1.3k papers) specifically the topics of DNA and Nucleic Acid Chemistry (2.4k papers), Protein Structure and Dynamics (1.6k papers) and Chemical Synthesis and Analysis (1.6k papers). The most active scholars publishing in Biopolymers are Christian Sander, Wolfgang Kabsch, Paul J. Flory, Victor A. Bloomfield, M.V. Volkenstein, John A. Schellman, Harold A. Scheraga, Yechiel Shai, S. Krimm and C. M. Venkatachalam.

In The Last Decade

Fields of papers published in Biopolymers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Biopolymers. 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 Biopolymers.

Countries where authors publish in Biopolymers

Since Specialization
Citations

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

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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