Cristina Pasquini

14 papers receiving 406 citations

Peers

Cristina Pasquini
Comparison fields: 5 of 55
  • Endocrinology, Diabetes and Metabolism 335
  • Surgery 199
  • Radiology, Nuclear Medicine and Imaging 59
  • Epidemiology 52
  • Molecular Biology 47
Replace Maryse Brassard with:
Maryse Brassard France
BM Arafah United States
Daniele Barbaro Italy
Xiaolei Wang China
Laura Falvo Italy
Laurent Tessonnier France
Laurence Leclerc France
Javier Aller Spain
Crystal Hilger United States
Monica Hollowell United States
Cristina Pasquini relative to Maryse Brassard France Maryse Brassard's profile →
Citations per field
00.5×1.6×
Maryse Brassard · 1×
Citations per year

Countries citing papers authored by Cristina Pasquini

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Pasquini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Pasquini

This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Pasquini. A scholar is included among the top collaborators of Cristina Pasquini 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 Cristina Pasquini. Cristina Pasquini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 47
2 21
3 0
4
Foot bone mass and analysis of calcium metabolism in diabetic patients affected by severe neuropathy.
9
5 32
6 41
7 50
8
Pancreas transplantation: problems and prospects in intensive care units.
3
9 2
10 10
11 108
12 48
13
Perioperative management for laparoscopic kidney donation.
3
14 22
15 30

About Cristina Pasquini

Cristina Pasquini is a scholar working on Endocrinology, Diabetes and Metabolism, Transplantation and Anesthesiology and Pain Medicine, having authored 15 papers that have together received 426 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (8 papers), Thyroid Disorders and Treatments (4 papers) and Thyroid and Parathyroid Surgery (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (335 citations), Surgery (199 citations) and Transplantation (10 citations). Cristina Pasquini has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Paola Orsini, Daniele Barbaro, Paola Lapi, U Simi, Giuseppe Meucci, Giuseppe Boni, Giuliano Mariani, Wilma Barcellini, Alberto Zanella and Anna Zaninoni. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology and European Journal of Nuclear Medicine and Molecular Imaging.

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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