This map shows the geographic impact of research published in Microarrays. 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 Microarrays with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Microarrays more than expected).
This network shows the impact of papers published in Microarrays. 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 Microarrays.
About Microarrays
The 245 papers published in Microarrays in the last decades have received a total of 4.3k indexed citations . Papers published in Microarrays usually cover Molecular Biology (174 papers), Cancer Research (27 papers), Radiology, Nuclear Medicine and Imaging (29 papers), Biophysics (7 papers) and Biomedical Engineering (46 papers) specifically the topics of Gene expression and cancer classification (66 papers), Advanced Biosensing Techniques and Applications (51 papers), Monoclonal and Polyclonal Antibodies Research (28 papers), Advanced biosensing and bioanalysis techniques (27 papers), Bioinformatics and Genomic Networks (25 papers), Molecular Biology Techniques and Applications (16 papers), Genomic variations and chromosomal abnormalities (15 papers) and Cancer-related molecular mechanisms research (13 papers). The most active scholars publishing in Microarrays are Kerem Bingol, Valeria D’Argenio, Therese Andersen, Michael Dornish, Iolanda Veneruso, Anuradha Roy, Rossella Tomaiuolo, Federica Cariati, David W. Grainger and Amir Syahir.
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.