Giulia Cantini

2.1k citations
64 papers · 1.6k · h-index 23

Impact in

Papers in

    • Adrenal and Paraganglionic Tumors 19
    • Pancreatic function and diabetes 7
    • Cancer, Hypoxia, and Metabolism 19

Giulia Cantini

64 papers receiving 1.6k citations

Peers

Giulia Cantini
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 371
  • Genetics 201
  • Cancer Research 271
  • Reproductive Medicine 130
  • Cardiology and Cardiovascular Medicine 226
Replace Arjen R. Mensenkamp with:
Arjen R. Mensenkamp Netherlands
Béatrice Jaspard‐Vinassa France
Atsushi Kosaki Japan
Marie Jeansson Sweden
Hideki Amano Japan
Toru Sugiyama Japan
Dongcheng Wu China
Virginija Jazbutyte Germany
Antonio Stigliano Italy
Madson Q. Almeida Brazil
Giulia Cantini relative to Arjen R. Mensenkamp Netherlands Arjen R. Mensenkamp's profile →
Citations per field
00.5×4.8×
Arjen R. Mensenkamp · 1×
Citations per year

Countries citing papers authored by Giulia Cantini

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Cantini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009162
2 2012146
3 2017125
4 200972
5 201670
6 201770
7 202268
8 200864
9 201559
10 200858
11 200856
12 200848
13 201446
14 201636
15 200934
16 201833
17 201830
18 201730
19 201529
20 201426

About Giulia Cantini

Giulia Cantini is a scholar working on Surgery, Cancer Research, Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (19 papers), Cancer, Hypoxia, and Metabolism (19 papers), Metabolism, Diabetes, and Cancer (9 papers), Diabetes Treatment and Management (8 papers), Pancreatic function and diabetes (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Glioma Diagnosis and Treatment (5 papers) and Pituitary Gland Disorders and Treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (371 citations), Genetics (201 citations), Cancer Research (271 citations), Reproductive Medicine (130 citations) and Cardiology and Cardiovascular Medicine (226 citations). Giulia Cantini has collaborated with scholars based in Italy, Germany and Switzerland. Frequent co-authors include Michaela Luconi, Mario Serio, Edoardo Mannucci, Gianni Forti, A. Di Franco, G Poli, Massimo Mannelli, Michela Francalanci, Gabriella Nesi and Stefania Gelmini. Their work appears in journals such as International Journal of Cardiology, The FASEB Journal, The American Journal of Cardiology, International Journal of Molecular Sciences 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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