Gian Kayser
About
Gian Kayser is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology.
According to data from OpenAlex, Gian Kayser has authored 173 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Oncology, 44 papers in Pulmonary and Respiratory Medicine and 34 papers in Molecular Biology. Recurrent topics in Gian Kayser’s work include AI in cancer detection (34 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Lung Cancer Research Studies (16 papers). Gian Kayser is often cited by papers focused on AI in cancer detection (34 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Lung Cancer Research Studies (16 papers). Gian Kayser collaborates with scholars based in Germany, United States and The Netherlands. Gian Kayser's co-authors include Klaus Kayser, Martin Werner, Bernward Passlick, Elmar Stickeler and Konrad Aumann and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.
In The Last Decade
Fields of papers citing papers by Gian Kayser
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 Gian Kayser. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gian Kayser may publish in the future.
Countries citing papers authored by Gian Kayser
Since SpecializationCitations
This map shows the geographic impact of Gian Kayser'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 Gian Kayser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gian Kayser more than expected).
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