Daniel V. Calleri

452 citations
10 papers · 352 · h-index 10

Impact in

Papers in

Daniel V. Calleri

10 papers receiving 344 citations

Peers

Daniel V. Calleri
Comparison fields: 5 of 33
  • Insect Science 257
  • Ecology, Evolution, Behavior and Systematics 231
  • Genetics 308
  • Cellular and Molecular Neuroscience 25
  • Immunology 22
Replace Grégoire Castella with:
Grégoire Castella Switzerland
Norman A. Buck United States
Lise Diez Belgium
Casey Hamilton United States
Tamsin M. O. Majerus United Kingdom
Sze Huei Yek Malaysia
Anabelle Reber Switzerland
Gyan Harwood United States
Jean‐Christophe Simon France
Joanito Liberti Switzerland
Daniel V. Calleri relative to Grégoire Castella Switzerland Grégoire Castella's profile →
Citations per field
00.5×1.5×
Grégoire Castella · 1×
Citations per year

Countries citing papers authored by Daniel V. Calleri

Since Specialization
Citations

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

Fields of papers citing papers by Daniel V. Calleri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel V. Calleri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel V. Calleri. The network helps show where Daniel V. Calleri may publish in the future.

Co-authors

The 8 scholars most cited alongside Daniel V. Calleri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel V. Calleri Line = papers co-authored together Daniel V. Calleri links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200688
2 200663
3 200353
4 200333
5 200727
6 200526
7 200520
8 200619
9 201013
10 201110

About Daniel V. Calleri

Daniel V. Calleri is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 10 papers that have together received 352 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (10 papers), Plant and animal studies (9 papers), Insect and Pesticide Research (6 papers), Animal Behavior and Reproduction (3 papers), Insect symbiosis and bacterial influences (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Insect Science (257 citations), Ecology, Evolution, Behavior and Systematics (231 citations), Genetics (308 citations), Cellular and Molecular Neuroscience (25 citations) and Immunology (22 citations). Daniel V. Calleri has collaborated with scholars based in United States, Netherlands and Russia. Frequent co-authors include Rebeca B. Rosengaus, James F. A. Traniello, Jacqueline E. Moustakas‐Verho, Edward L. Vargo, Nina H. Fefferman, Márcio R. Pie, Colin S. Brent and Warren Booth. Their work appears in journals such as Journal of Insect Science, Insectes Sociaux, Behavioral Ecology and Sociobiology, Ethology Ecology & Evolution and Proceedings of the Royal Society B Biological Sciences.

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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