This map shows the geographic impact of research published in Proteomes. 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 Proteomes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Proteomes more than expected).
This network shows the impact of papers published in Proteomes. 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 Proteomes.
About Proteomes
The 438 papers published in Proteomes in the last decades have received a total of 6.3k indexed citations . Papers published in Proteomes usually cover Spectroscopy (118 papers), Molecular Biology (288 papers), Cancer Research (41 papers), Cell Biology (44 papers) and Plant Science (57 papers) specifically the topics of Advanced Proteomics Techniques and Applications (115 papers), Mass Spectrometry Techniques and Applications (49 papers), Metabolomics and Mass Spectrometry Studies (42 papers), Extracellular vesicles in disease (29 papers), Muscle metabolism and nutrition (20 papers), MicroRNA in disease regulation (18 papers), Glycosylation and Glycoproteins Research (17 papers) and Bioinformatics and Genomic Networks (17 papers). The most active scholars publishing in Proteomes are Benjamin C. Orsburn, Jens R. Coorssen, Setsuko Komatsu, Charles T. Spencer, Rui Vitorino, Costel C. Darie, Niroshini Nirmalan, Holly Matthews, Madhuri Jayathirtha and Brîndușa Alina Petre.
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.