Fabio Maino

1.0k citations
35 papers · 673 · h-index 12

Impact in

Papers in

Fabio Maino

32 papers receiving 653 citations

Peers

Fabio Maino
Comparison fields: 5 of 46
  • Endocrinology, Diabetes and Metabolism 593
  • Anatomy 7
  • Surgery 126
  • Health Informatics 3
  • Genetics 61
Replace Claudia Cipri with:
Claudia Cipri Italy
Matvey Brokhin United States
Annalisa Montanaro Italy
Isao Tabei Japan
Viveque Egsgaard Nielsen Denmark
Meredith Kato United States
Rosa Paula M. Biscolla Brazil
Giacomo L. La Rosa Italy
M A Provenzale Italy
Fabio Maino relative to Claudia Cipri Italy Claudia Cipri's profile →
Citations per field
00.5×4.3×
Claudia Cipri · 1×
Citations per year

Countries citing papers authored by Fabio Maino

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Maino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011215
2 201797
3 201367
4 201535
5 201433
6 202027
7 201624
8 201822
9 202216
10 201816
11 201913
12 201812
13 202010
14 20209
15 20197
16 20207
17 20237
18 20207
19 20177
20 20186

About Fabio Maino

Fabio Maino is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 35 papers that have together received 673 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (24 papers), Thyroid and Parathyroid Surgery (5 papers), Thyroid Disorders and Treatments (4 papers), BRCA gene mutations in cancer (2 papers), Head and Neck Anomalies (2 papers), Biomarkers in Disease Mechanisms (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Medical and Biological Sciences (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (593 citations), Anatomy (7 citations), Surgery (126 citations), Health Informatics (3 citations) and Genetics (61 citations). Fabio Maino has collaborated with scholars based in Italy and Germany. Frequent co-authors include Maria Grazia Castagna, Furio Pacini, Gabriele Cevenini, A. Theodoropoulou, Claudia Cipri, Silvia Cantara, Carlotta Marzocchi, Tania Pilli, Tommaso Porcelli and Domenico Salvatore. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Thyroid Journal, European Journal of Endocrinology, Frontiers in Endocrinology and Cancers.

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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