Vito Guarnieri

77 papers receiving 1.9k citations

Peers

Vito Guarnieri
Comparison fields: 5 of 97
  • Nephrology 798
  • Cancer Research 204
  • Genetics 405
  • Oncology 316
  • Endocrinology, Diabetes and Metabolism 154
Replace Sigrid Hoffmann with:
Sigrid Hoffmann Germany
Nisan Bhattacharyya United States
Carlton M. Bates United States
Kazuo Chihara Japan
Manuel C. Lemos Portugal
Noriko Makita Japan
Jan Bruder United States
Frédéric Jehan France
Xialian Xu China
Mathias Chiano United Kingdom
Vito Guarnieri relative to Sigrid Hoffmann Germany Sigrid Hoffmann's profile →
Citations per field
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Sigrid Hoffmann · 1×
Citations per year

Countries citing papers authored by Vito Guarnieri

Since Specialization
Citations

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

Fields of papers citing papers by Vito Guarnieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009130
2 2011120
3 2005112
4 2004103
5 200985
6 201284
7 201283
8 200681
9 200679
10 201870
11 201064
12 200558
13 200656
14 200237
15 201737
16 201331
17 200428
18
Sporadic and hereditary primary hyperparathyroidism.
201127
19 200624
20 201224

About Vito Guarnieri

Vito Guarnieri is a scholar working on Nephrology, Molecular Biology, Genetics, Oncology and Neurology, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (36 papers), Bone health and treatments (9 papers), Genetic Syndromes and Imprinting (9 papers), Connective tissue disorders research (5 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Medical Imaging and Pathology Studies (5 papers), Intracranial Aneurysms: Treatment and Complications (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). The work is most often cited by research in Nephrology (798 citations), Cancer Research (204 citations), Genetics (405 citations), Oncology (316 citations) and Endocrinology, Diabetes and Metabolism (154 citations). Vito Guarnieri has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Alfredo Scillitani, Lucia Anna Muscarella, Leonardo D’Agruma, Geoffrey N. Hendy, Claudia Battista, Sabrina Corbetta, David E.C. Cole, Lucie Canaff, Salvatore Minisola and Michele Bisceglia. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrine Related Cancer, Genes, Gene and Journal of Bone and Mineral Research.

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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