Marisa Papaluca‐Amati

About

Marisa Papaluca‐Amati is a scholar working on Economics and Econometrics, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Marisa Papaluca‐Amati has authored 11 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Economics and Econometrics, 3 papers in Computational Theory and Mathematics and 2 papers in Physiology. Recurrent topics in Marisa Papaluca‐Amati’s work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Computational Drug Discovery Methods (3 papers) and Statistical Methods in Clinical Trials (2 papers). Marisa Papaluca‐Amati is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (6 papers), Computational Drug Discovery Methods (3 papers) and Statistical Methods in Clinical Trials (2 papers). Marisa Papaluca‐Amati collaborates with scholars based in United Kingdom, The Netherlands and Austria. Marisa Papaluca‐Amati's co-authors include Richard H. Guy, Martin Posch, Robert Hemmings, Angela Brand and Falk Ehmann and has published in prestigious journals such as Nature Reviews Drug Discovery, Clinical Cancer Research and Clinical Pharmacology & Therapeutics.

In The Last Decade

Fields of papers citing papers by Marisa Papaluca‐Amati

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

Countries citing papers authored by Marisa Papaluca‐Amati

Since Specialization

Citations

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

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