Leonardo D’Aloiso

533 citations
12 papers · 385 indexed · h-index 9
Topics
Thyroid Cancer Diagnosis and Treatment (7 papers)Neuroendocrine Tumor Research Advances (3 papers)Thyroid Disorders and Treatments (3 papers)

In The Last Decade

Leonardo D’Aloiso

12 papers receiving 370 citations

Peers

Leonardo D’Aloiso
Comparison fields: 5 of 36
  • Endocrinology, Diabetes and Metabolism 332
  • Surgery 229
  • Epidemiology 63
  • Genetics 58
  • Oncology 36
Replace Stéphane Bardet with:
Stéphane Bardet France
Matteo Zingrillo Italy
A D'Avanzo United States
Mariusz Klencki Poland
Jen‐Der Lin Taiwan
M Freddi Italy
Iris Gomez Austria
Federico Arecco Italy
Peter P. Issa United States
Maria Albuja‐Cruz United States
Leonardo D’Aloiso relative to Stéphane Bardet France Stéphane Bardet's profile →
Citations per field
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Stéphane Bardet · 1×
Citations per year

Countries citing papers authored by Leonardo D’Aloiso

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo D’Aloiso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo D’Aloiso. 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 Leonardo D’Aloiso. The network helps show where Leonardo D’Aloiso may publish in the future.

Co-authorship network of co-authors of Leonardo D’Aloiso

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo D’Aloiso. A scholar is included among the top collaborators of Leonardo D’Aloiso based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leonardo D’Aloiso. Leonardo D’Aloiso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 12
2 20
3 104
4 4
5 20
6
Multiple endocrine neoplasia 2
2
7 106
8 10
9 11
10 26
11 62
12 8

About Leonardo D’Aloiso

Leonardo D’Aloiso is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Nephrology, having authored 12 papers that have together received 385 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (7 papers), Neuroendocrine Tumor Research Advances (3 papers) and Thyroid Disorders and Treatments (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (332 citations), Surgery (229 citations) and Nephrology (21 citations). Leonardo D’Aloiso has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Massimo Torlontano, Michele Bisceglia, Sébastiano Filetti, Vincenzo Trischitta, Vincenzo Frusciante, Sergio Modoni, Umberto Crocetti, Antonio Liuzzi, Matteo Zingrillo and Maria Rosaria Ghiggi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Osteoporosis International and Clinical Endocrinology.

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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