Stan Gaj

17 papers and 836 indexed citations i.

About

Stan Gaj is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Stan Gaj has authored 17 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cancer Research and 4 papers in Pharmacology. Recurrent topics in Stan Gaj’s work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (4 papers) and Molecular Biology Techniques and Applications (4 papers). Stan Gaj is often cited by papers focused on Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (4 papers) and Molecular Biology Techniques and Applications (4 papers). Stan Gaj collaborates with scholars based in The Netherlands, Germany and United States. Stan Gaj's co-authors include Chris T. Evelo, Jos Kleinjans, Sandra M.H. Claessen, Florian Caiment, Lars Eijssen, Alexander C. Zambon, Alexander R. Pico, Bruce R. Conklin, Nathan Salomonis and Kristina Hanspers and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Antioxidants and Redox Signaling.

In The Last Decade

Co-authorship network of co-authors of Stan Gaj i

Fields of papers citing papers by Stan Gaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stan Gaj. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stan Gaj. The network helps show where Stan Gaj may publish in the future.

Countries citing papers authored by Stan Gaj

Since Specialization
Citations

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