Dante Borelli

57 papers receiving 666 citations

Peers

Dante Borelli
Comparison fields: 5 of 71
  • Microbiology 29
  • Small Animals 133
  • Infectious Diseases 315
  • Epidemiology 537
  • Cell Biology 202
Replace C De Vroey with:
C De Vroey Belgium
Luis Javier Méndez‐Tovar Mexico
Laurence F. Mirels United States
Karen Spadari Ferreira Brazil
G. S. Shankland United Kingdom
Erick Martínez‐Herrera Mexico
J W Lee United States
Themistoklis Kourkoumpetis United States
G. St‐Germain Canada
V L Kan United States
Dante Borelli relative to C De Vroey Belgium C De Vroey's profile →
Citations per field
00.5×7.3×
C De Vroey · 1×
Citations per year

Countries citing papers authored by Dante Borelli

Since Specialization
Citations

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

Fields of papers citing papers by Dante Borelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dante Borelli. 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 Dante Borelli. The network helps show where Dante Borelli may publish in the future.

Co-authors

The 25 scholars most cited alongside Dante Borelli, 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 Dante Borelli Line = papers co-authored together Dante Borelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987138
2 1979128
3 199299
4 199167
5 198050
6 198635
7
Causal agents of chromoblastomycosis (chromomycetes).
198022
8 200919
9
Microsporum racemosum nova species.
196517
10 196113
11 196912
12 197011
13
[Acrotheca aquaspersa nova, new species agent of chromomycosis].
197211
14
Microsporum amazonicum nova species.
196711
15 200910
16 197210
17 198510
18
[Cutis "trunci variata." A new genetic dermatosis].
19876
19
Pyrenochaeta romeroi n. sp.
19596
20 19725

About Dante Borelli

Dante Borelli is a scholar working on Epidemiology, Cell Biology, Infectious Diseases, Small Animals and Plant Science, having authored 73 papers that have together received 770 indexed citations. Recurring topics across this work include Fungal Infections and Studies (27 papers), Nail Diseases and Treatments (23 papers), Plant Pathogens and Fungal Diseases (20 papers), Antifungal resistance and susceptibility (17 papers), Infectious Diseases and Mycology (16 papers), Mycorrhizal Fungi and Plant Interactions (8 papers), Actinomycetales infections and treatment (8 papers) and Fungal Biology and Applications (5 papers). The work is most often cited by research in Microbiology (29 citations), Small Animals (133 citations), Infectious Diseases (315 citations), Epidemiology (537 citations) and Cell Biology (202 citations). Dante Borelli has collaborated with scholars based in Venezuela, Paraguay and United States. Frequent co-authors include David A. Stevens, José L. Bran, P Jacobs, L Nall, H. B. Levine, Eduardo A Leiderman, Ricardo Negroni, Eduardo Arathoon, Luiz Guilherme Martins Castro and S. A. P. Sampaio. Their work appears in journals such as Mycopathologia, Transactions of the Royal Society of Tropical Medicine and Hygiene, Clinical Infectious Diseases, Mycologia and Journal of Clinical Microbiology.

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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