Museo di Storia Naturale di Milano

8.1k citations
462 papers ·

Impact in

Papers in

Museo di Storia Naturale di Milano

434 papers receiving 8.1k citations

Peers

Museo di Storia Naturale di Milano
Comparison fields: 5 of 148
  • Paleontology 1.7k
  • Ecology, Evolution, Behavior and Systematics 1.7k
  • Ecology 1.7k
  • Geochemistry and Petrology 464
  • Ecological Modeling 144
Replace Natural History Museum of Bern with:
Natural History Museum of Bern Switzerland
Musée national d'histoire naturelle Luxembourg Luxembourg
Natural History Museum of Basel Switzerland
Unité Évolution, Écologie et Paléontologie France
Croatian Natural History Museum Croatia
Moravian Museum Czechia
Biogéochimie des écosystèmes forestiers France
Hessisches Landesmuseum Darmstadt Germany
Istituto Centrale per la Ricerca Scientifica e Tecnologica Applicata al Mare Italy
Centro Mediterráneo de Investigaciones Marinas y Ambientale Spain
Museo di Storia Naturale di Milano relative to Natural History Museum of Bern Switzerland Natural History Museum of Bern's profile →
Citations per field
00.5×1.5×1.8×
Natural History Museum of Bern · 1×
Citations per year

Countries citing scholars working at Museo di Storia Naturale di Milano

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Museo di Storia Naturale di Milano. 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 papers produced at Museo di Storia Naturale di Milano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Museo di Storia Naturale di Milano more than expected).

Fields of papers published by authors at Museo di Storia Naturale di Milano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Museo di Storia Naturale di Milano at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Museo di Storia Naturale di Milano at the time of their publication.

About Museo di Storia Naturale di Milano

In recent decades, authors affiliated with Museo di Storia Naturale di Milano have published 462 papers, which have received a total of 8.1k indexed citations . Scholars at this organization have produced 112 papers in Paleontology, 145 papers in Ecology, Evolution, Behavior and Systematics, 125 papers in Ecology, 22 papers in Geochemistry and Petrology and 57 papers in Global and Planetary Change on the topics of Paleontology and Evolutionary Biology (95 papers), Crustacean biology and ecology (63 papers), Paleontology and Stratigraphy of Fossils (63 papers), Amphibian and Reptile Biology (55 papers), Mediterranean and Iberian flora and fauna (48 papers), Animal Behavior and Reproduction (42 papers), Botany and Plant Ecology Studies (37 papers) and Hemiptera Insect Studies (30 papers). Their work is cited by papers focused on Paleontology (1.7k citations), Ecology, Evolution, Behavior and Systematics (1.7k citations), Ecology (1.7k citations), Geochemistry and Petrology (464 citations) and Ecological Modeling (144 citations). Authors at Museo di Storia Naturale di Milano collaborate with scholars in Italy, United States and France and have published in prestigious journals including ZooKeys, Phytotaxa, Zootaxa, Amphibia-Reptilia and Biological Journal of the Linnean Society. Some of Museo di Storia Naturale di Milano's most productive authors include Cristiano Dal Sasso, Stefano Scali, Federicο Pezzotta, Alessandro Garassino, Roberto Sacchi, Michela Podestà, Gabriele Galasso, Paride Dioli, Marco Mangiacotti and Simone Maganuco.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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