Martin Haas

159 papers and 6.2k indexed citations i.

About

Martin Haas is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Martin Haas has authored 159 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Oncology, 45 papers in Molecular Biology and 37 papers in Genetics. Recurrent topics in Martin Haas’s work include Virus-based gene therapy research (28 papers), Cancer-related Molecular Pathways (22 papers) and Parathyroid Disorders and Treatments (18 papers). Martin Haas is often cited by papers focused on Virus-based gene therapy research (28 papers), Cancer-related Molecular Pathways (22 papers) and Parathyroid Disorders and Treatments (18 papers). Martin Haas collaborates with scholars based in United States, Austria and Germany. Martin Haas's co-authors include Rainer Oberbauer, Daniel Cejka, Gert Mayer, J Yeargin and Marguerite Vogt and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Fields of papers citing papers by Martin Haas

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

Countries citing papers authored by Martin Haas

Since Specialization
Citations

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

Rankless by CCL
2025