Michal Guerquin
About
Michal Guerquin is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence.
According to data from OpenAlex, Michal Guerquin has authored 10 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Materials Chemistry and 3 papers in Artificial Intelligence. Recurrent topics in Michal Guerquin’s work include Protein Structure and Dynamics (4 papers), Bioinformatics and Genomic Networks (4 papers) and Topic Modeling (3 papers). Michal Guerquin is often cited by papers focused on Protein Structure and Dynamics (4 papers), Bioinformatics and Genomic Networks (4 papers) and Topic Modeling (3 papers). Michal Guerquin collaborates with scholars based in United States. Michal Guerquin's co-authors include Ram Samudrala, Jason McDermott, Peter E. Clark, Niket Tandon and Kyle Richardson and has published in prestigious journals such as Nucleic Acids Research and BMC Bioinformatics.
In The Last Decade
Fields of papers citing papers by Michal Guerquin
Since SpecializationEngineeringComputer 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 Michal Guerquin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michal Guerquin may publish in the future.
Countries citing papers authored by Michal Guerquin
Since SpecializationCitations
This map shows the geographic impact of Michal Guerquin'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 Michal Guerquin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Guerquin more than expected).
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