Sergio Iorio

1.9k citations
43 papers · 1.4k · h-index 22

Impact in

Papers in

Sergio Iorio

43 papers receiving 1.4k citations

Peers

Sergio Iorio
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 647
  • Internal Medicine 58
  • Oncology 248
  • Surgery 341
  • Cardiology and Cardiovascular Medicine 170
Replace Leonardo Vieira Neto with:
Leonardo Vieira Neto Brazil
Göran Matejka Sweden
Giuseppe Reimondo Italy
Tomohiro Nakamura Japan
Beatrice Franci Italy
Robert Parkes Canada
Marco Ferlini Italy
Kuo‐Ho Yeh Taiwan
Elena Sticchi Italy
Gerard Laden United Kingdom
Sergio Iorio relative to Leonardo Vieira Neto Brazil Leonardo Vieira Neto's profile →
Citations per field
00.5×3.9×
Leonardo Vieira Neto · 1×
Citations per year

Countries citing papers authored by Sergio Iorio

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Iorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010108
2 2002105
3 2010102
4 200599
5 200997
6 200687
7 201168
8 200366
9 201465
10 201355
11 201849
12 199947
13 201646
14 200439
15 200837
16 200834
17 200433
18 201330
19 202128
20 201224

About Sergio Iorio

Sergio Iorio is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Oncology, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Thyroid Disorders and Treatments (7 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Coronary Interventions and Diagnostics (3 papers), Thyroid and Parathyroid Surgery (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Circadian rhythm and melatonin (3 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (647 citations), Internal Medicine (58 citations), Oncology (248 citations), Surgery (341 citations) and Cardiology and Cardiovascular Medicine (170 citations). Sergio Iorio has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giuseppe De Luca, Paolo Marino, Luca Venegoni, Carlo Carella, Giovanni Amato, Gherardo Mazziotti, F. Sorvillo, Gioel Gabrio Secco, Giorgio Bellomo and Antonio Agostino Sinisi. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, BMC Surgery, Atherosclerosis and Nutrition Metabolism and Cardiovascular Diseases.

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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