Countries where authors publish in Molecular Omics
Since Specialization
Citations
This map shows the geographic impact of research published in Molecular Omics. 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 Molecular Omics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Molecular Omics more than expected).
This network shows the impact of papers published in Molecular Omics. 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 Molecular Omics.
About Molecular Omics
The 414 papers published in Molecular Omics in the last decades have received a total of 4.6k indexed citations . Papers published in Molecular Omics usually cover Molecular Biology (288 papers), Cancer Research (55 papers), Spectroscopy (51 papers), Aging (5 papers) and Biological Psychiatry (5 papers) specifically the topics of Metabolomics and Mass Spectrometry Studies (67 papers), Advanced Proteomics Techniques and Applications (46 papers), Bioinformatics and Genomic Networks (30 papers), Glycosylation and Glycoproteins Research (27 papers), RNA modifications and cancer (23 papers), Mass Spectrometry Techniques and Applications (21 papers), Microbial Metabolic Engineering and Bioproduction (19 papers) and Cancer-related molecular mechanisms research (18 papers). The most active scholars publishing in Molecular Omics are Lukáš Krásný, Paul H. Huang, Si Wu, Kellye A. Cupp‐Sutton, Simone Sidoli, Katarzyna Kulej, Jennifer T. Aguilan, Ilias Tagkopoulos, Minseung Kim and Peng Zhou.
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.