Michael Gecht
About
Michael Gecht is a scholar working on Molecular Biology, Cell Biology and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Michael Gecht has authored 8 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Gecht’s work include Sphingolipid Metabolism and Signaling (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Michael Gecht is often cited by papers focused on Sphingolipid Metabolism and Signaling (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Michael Gecht collaborates with scholars based in Germany, Japan and United States. Michael Gecht's co-authors include Gerhard Hummer, Roberto Covino, Sören von Bülow, Mateusz Sikora, Florian E.C. Blanc, Ger van Zandbergen, Katrin Bagola, Beata Turoňová, Martin Beck and Christoph Schürmann and has published in prestigious journals such as Science, Cell and The Journal of Chemical Physics.
In The Last Decade
Co-authorship network of co-authors of Michael Gecht i
Fields of papers citing papers by Michael Gecht
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 Michael Gecht. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael Gecht may publish in the future.
Countries citing papers authored by Michael Gecht
Since SpecializationCitations
This map shows the geographic impact of Michael Gecht'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 Michael Gecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gecht more than expected).
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