Journal of Peptide Science

2.4k papers and 40.3k indexed citations i.

About

The 2.4k papers published in Journal of Peptide Science in the last decades have received a total of 40.3k indexed citations. Papers published in Journal of Peptide Science usually cover Molecular Biology (1.9k papers), Organic Chemistry (526 papers) and Microbiology (522 papers) specifically the topics of Chemical Synthesis and Analysis (982 papers), Antimicrobial Peptides and Activities (521 papers) and Biochemical and Structural Characterization (290 papers). The most active scholars publishing in Journal of Peptide Science are John S. Davies, Luis Moroder, Annette G. Beck‐Sickinger, Siegmund Reißmann, László Ötvös, Burkhard Bechinger, Raymond Behrendt, John S. Svendsen, Peter D. White and Peter M. Fischer.

In The Last Decade

Fields of papers published in Journal of Peptide Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Peptide Science. 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 Journal of Peptide Science.

Countries where authors publish in Journal of Peptide Science

Since Specialization
Citations

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