Countries where authors publish in Peptide Science
Since Specialization
Citations
This map shows the geographic impact of research published in 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 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 Peptide Science more than expected).
This network shows the impact of papers published in 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 Peptide Science.
About Peptide Science
The 265 papers published in Peptide Science in the last decades have received a total of 2.6k indexed citations . Papers published in Peptide Science usually cover Microbiology (77 papers), Biomaterials (46 papers), Molecular Biology (199 papers), Organic Chemistry (69 papers) and Immunology and Allergy (8 papers) specifically the topics of Chemical Synthesis and Analysis (88 papers), Antimicrobial Peptides and Activities (76 papers), Supramolecular Self-Assembly in Materials (39 papers), Click Chemistry and Applications (26 papers), Biochemical and Structural Characterization (24 papers), RNA Interference and Gene Delivery (21 papers), RNA and protein synthesis mechanisms (20 papers) and Monoclonal and Polyclonal Antibodies Research (20 papers). The most active scholars publishing in Peptide Science are Jiwon Seo, Hye Been Koo, Lara R. Malins, David M. Perrin, Peter H. Seeberger, Martina Delbianco, Giulio Fittolani, Dennis J. Worm, Sylvia Els‐Heindl and Annette G. Beck‐Sickinger.
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.