Stan Gaj

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 831 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 Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers) and Molecular Biology Techniques and Applications (4 papers). Stan Gaj is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers) and Molecular Biology Techniques and Applications (4 papers). Stan Gaj collaborates with scholars based in The Netherlands, Germany and United Kingdom. Stan Gaj's co-authors include Jos Kleinjans, Chris T. Evelo, Danyel Jennen, Joost H.M. van Delft and Karen Brauers and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Antioxidants and Redox Signaling.

In The Last Decade

Fields of papers citing papers by Stan Gaj

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Stan Gaj. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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