Celso di Loreto

28 papers receiving 331 citations

Peers

Celso di Loreto
Comparison fields: 5 of 67
  • Epidemiology 180
  • Cancer Research 51
  • Oncology 85
  • Microbiology 2
  • Obstetrics and Gynecology 20
Replace I. P. Shabalova with:
I. P. Shabalova Russia
Mauro Alderisio Italy
Isabelle Cartier France
Sabrina Zidi Tunisia
J Rahhal Austria
Iara Viana Vidigal Santana Brazil
Anne A. Hurley United States
Paola Migliora Italy
Dorthe Ørnskov Denmark
T.H. Cheung Hong Kong
Celso di Loreto relative to I. P. Shabalova Russia I. P. Shabalova's profile →
Citations per field
00.5×1.5×2.2×
I. P. Shabalova · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201256
2 201345
3 200539
4 199137
5 200426
6 200525
7 200519
8 200413
9 200412
10 199710
11 20059
12 20089
13 20056
14 20074
15
Significance of AgNOR measurement in thyroid lesions.
20064
16 20034
17
Is agNOR and DNA ploidy analysis useful for evaluating thyroid neoplasms?
20054
18 20063
19 20092
20 20212

About Celso di Loreto

Celso di Loreto is a scholar working on Epidemiology, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Artificial Intelligence, having authored 31 papers that have together received 342 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (17 papers), Women's cancer prevention and management (5 papers), Global Cancer Incidence and Screening (5 papers), AI in cancer detection (4 papers), Molecular Biology Techniques and Applications (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Science and Education Research (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Epidemiology (180 citations), Cancer Research (51 citations), Oncology (85 citations), Microbiology (2 citations) and Obstetrics and Gynecology (20 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, Suely Nonogaki, Tatiana Rabachini, Cecília Roteli-Martins, Maria Antonieta Andreoli, Laura Beatriz da Silva Cardeal, Lara Termini, Alda Wakamatsu and Silvya Stuchi Maria–Engler. Their work appears in journals such as Acta Cytologica, Journal of Lower Genital Tract Disease, International Journal of Gynecological Pathology, PLoS ONE and Gynecologic Oncology.

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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