Celso di Loreto

27 papers receiving 335 citations

Peers

Celso di Loreto
Comparison fields: 5 of 60
  • Epidemiology 160
  • Cancer Research 47
  • Microbiology 2
  • Oncology 53
  • Microbiology 11
Replace Mauro Alderisio with:
Mauro Alderisio Italy
Cecília Vianna de Andrade Brazil
Nathalie Reesink‐Peters Netherlands
Kjell Løvslett Norway
Claudia Savini Italy
Ilaria Sabatucci Italy
Anant Karalak Thailand
M Branca Italy
Iara Viana Vidigal Santana Brazil
Wenhua Zhi China
Celso di Loreto relative to Mauro Alderisio Italy Mauro Alderisio's profile →
Citations per field
00.5×3.7×
Mauro Alderisio · 1×
Citations per year

Countries citing papers authored by Celso di Loreto

Since Specialization
Citations

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

Fields of papers citing papers by Celso di Loreto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Celso di Loreto. 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 Celso di Loreto. The network helps show where Celso di Loreto may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201258
2 201348
3 200539
4 199137
5 200426
6 200525
7 200519
8 200413
9 200412
10 199710
11 20089
12 20059
13 20056
14 20034
15 20074
16
Is agNOR and DNA ploidy analysis useful for evaluating thyroid neoplasms?
20054
17
Significance of AgNOR measurement in thyroid lesions.
20064
18 20063
19 19952
20 20112

About Celso di Loreto

Celso di Loreto is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology, Surgery and Small Animals, having authored 30 papers that have together received 346 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (15 papers), Women's cancer prevention and management (5 papers), Cancer-related Molecular Pathways (2 papers), Science and Education Research (2 papers), Sex work and related issues (1 paper), Color perception and design (1 paper), Coccidia and coccidiosis research (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Epidemiology (160 citations), Cancer Research (47 citations), Microbiology (2 citations), Oncology (53 citations) and Microbiology (11 citations). Celso di Loreto has collaborated with scholars based in Brazil, Portugal and United States. Frequent co-authors include Adhemar Longatto‐Filho, Sônia Maria Miranda Pereira, Lara Termini, Luisa L. Villa, Enrique Boccardo, Maria Antonieta Andreoli, Tatiana Rabachini, Silvya Stuchi Maria–Engler, Laura Beatriz da Silva Cardeal and Alda Wakamatsu. Their work appears in journals such as Acta Cytologica, Journal of Lower Genital Tract Disease, PLoS ONE, International Journal of Gynecological Pathology and Diagnostic Cytopathology.

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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