Martin Uhl

18 papers and 829 indexed citations i.

About

Martin Uhl is a scholar working on Genetics, Molecular Biology and Neurology. According to data from OpenAlex, Martin Uhl has authored 18 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Martin Uhl’s work include Glioma Diagnosis and Treatment (7 papers), Brain Metastases and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Martin Uhl is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Brain Metastases and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Martin Uhl collaborates with scholars based in Germany, United States and France. Martin Uhl's co-authors include Corinna Seliger, Peter Hau, Michael Weller, Ulrich Herrlinger and Arabel Vollmann‐Zwerenz and has published in prestigious journals such as The Journal of Immunology, Neurology and Cancer Research.

In The Last Decade

Fields of papers citing papers by Martin Uhl

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 Martin Uhl. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Martin Uhl may publish in the future.

Countries citing papers authored by Martin Uhl

Since Specialization
Citations

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

Rankless by CCL
2025