Protein and Peptide Letters

3.2k papers and 34.2k indexed citations i.

About

The 3.2k papers published in Protein and Peptide Letters in the last decades have received a total of 34.2k indexed citations. Papers published in Protein and Peptide Letters usually cover Molecular Biology (2.1k papers), Biotechnology (310 papers) and Materials Chemistry (262 papers) specifically the topics of Protein Structure and Dynamics (302 papers), Enzyme Structure and Function (231 papers) and Chemical Synthesis and Analysis (231 papers). The most active scholars publishing in Protein and Peptide Letters are Hassan Mohabatkar, Philippe Bulet, Reto Stöcklin, Dominic M. Walsh, Dennis J. Selkoe, Kuo‐Chen Chou, Vladimir N. Uversky, Christopher M. Dobson, Wagner Fontes and Balapal S. Basavarajappa.

In The Last Decade

Fields of papers published in Protein and Peptide Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Protein and Peptide Letters. 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 Protein and Peptide Letters.

Countries where authors publish in Protein and Peptide Letters

Since Specialization
Citations

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