A. Calvanese

521 citations
23 papers · 392 · h-index 10

Impact in

Papers in

A. Calvanese

22 papers receiving 380 citations

Peers

A. Calvanese
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 254
  • Cancer Research 51
  • Surgery 111
  • Oncology 59
  • Immunology 40
Replace Eleonora Lori with:
Eleonora Lori Italy
Takamasa Nishiuchi Japan
Mengyuan Lei China
Juliana Cazarin Brazil
Maha Karnoub United States
Ryu Iwasaki Japan
Margret Ehlers Germany
Anna de Fazio Australia
N. Nakamura Japan
Esther Piura Canada
A. Calvanese relative to Eleonora Lori Italy Eleonora Lori's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Calvanese

Since Specialization
Citations

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

Fields of papers citing papers by A. Calvanese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200677
2 201245
3 200839
4 201838
5 201036
6 201232
7 201331
8 201219
9 200316
10 202412
11 20119
12
Thyroid diseases in women with breast cancer.
20129
13 20254
14 20034
15 20094
16 20094
17
[Antithyroid drugs therapy].
20094
18
[Acute hepatitis in a patient with adult onset Still disease].
19974
19 20082
20
Thyroid autoimmunity and risk of malignancy in thyroid nodules submitted to fine-needle aspiration cytology
20121

About A. Calvanese

A. Calvanese is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Surgery, Epidemiology and Genetics, having authored 23 papers that have together received 392 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (8 papers), Thyroid Disorders and Treatments (7 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers), Head and Neck Anomalies (2 papers), Electrolyte and hormonal disorders (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (254 citations), Cancer Research (51 citations), Surgery (111 citations), Oncology (59 citations) and Immunology (40 citations). A. Calvanese has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Angela Fumarola, Giorgio Grani, Angela Nesca, Salvatore Ulisse, Giovanni Carbotta, Marta Bianchini, Martino Ruggieri, Pierpaolo Trimboli, Andrea Marzullo and Filomena Graziano. Their work appears in journals such as Clinical Endocrinology, Experimental and Clinical Endocrinology & Diabetes, iScience, Nutrition and British Journal of Cancer.

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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