Honey bee and Silkworm Research Unit

15.4k citations
338 papers ·

Impact in

Papers in

Honey bee and Silkworm Research Unit

324 papers receiving 15.1k citations

Peers

Honey bee and Silkworm Research Unit
Comparison fields: 5 of 180
  • Insect Science 7.7k
  • Ecology, Evolution, Behavior and Systematics 5.8k
  • Genetics 7.3k
  • Ecological Modeling 841
  • Ecology 4.3k
Replace Centro Agricoltura Ambiente (Italy) with:
Centro Agricoltura Ambiente (Italy) Italy
Parco Nazionale d'Abruzzo Italy
KeyGene (Netherlands) Netherlands
Abeilles et environnement France
FAO/IAEA Agriculture and Biotechnology Laboratories Austria
Foraggere e Lattiero Casearie Italy
Conservatoire botanique national méditerranéen France
Modèles Insectes de l'Immunité Innée France
Laboratoire de Génétique & Evolution des Populations Végétales France
Wrocław Zoo Poland
Honey bee and Silkworm Research Unit relative to Centro Agricoltura Ambiente (Italy) Italy Centro Agricoltura Ambiente (Italy)'s profile →
Citations per field
00.5×2×4×5.7×
Centro Agricoltura Ambiente (Italy) · 1×
Citations per year

Countries citing scholars working at Honey bee and Silkworm Research Unit

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Honey bee and Silkworm Research Unit. 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 Honey bee and Silkworm Research Unit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Honey bee and Silkworm Research Unit more than expected).

Fields of papers published by authors at Honey bee and Silkworm Research Unit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Honey bee and Silkworm Research Unit 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 Honey bee and Silkworm Research Unit at the time of their publication.

About Honey bee and Silkworm Research Unit

In recent decades, authors affiliated with Honey bee and Silkworm Research Unit have published 338 papers, which have received a total of 15.4k indexed citations . Scholars at this organization have produced 128 papers in Insect Science, 29 papers in Health Information Management, 104 papers in Ecology, Evolution, Behavior and Systematics, 135 papers in Genetics and 102 papers in Ecology on the topics of Insect and Pesticide Research (109 papers), Plant and animal studies (86 papers), Wildlife Ecology and Conservation (71 papers), Insect and Arachnid Ecology and Behavior (68 papers), Genetic diversity and population structure (50 papers), Bee Products Chemical Analysis (37 papers), Avian ecology and behavior (30 papers) and Genetic and phenotypic traits in livestock (29 papers). Their work is cited by papers focused on Insect Science (7.7k citations), Ecology, Evolution, Behavior and Systematics (5.8k citations), Genetics (7.3k citations), Ecological Modeling (841 citations) and Ecology (4.3k citations). Authors at Honey bee and Silkworm Research Unit collaborate with scholars in Italy, Spain and France and have published in prestigious journals including Journal of Apicultural Research, Apidologie, Molecular Ecology, Journal of Zoology and Biological Journal of the Linnean Society. Some of Honey bee and Silkworm Research Unit's most productive authors include Ettore Randi, Vittorio Lucchini, Anna Gloria Sabatini, Marco Lodesani, Cecília Costa, Fabio Sgolastra, Gian Luigi Marcazzan, Fernando Spina, Maria Arena and Laura Bortolotti.

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.

Explore institutions with similar magnitude of impact