Antonio Cavaliere

2.9k citations
72 papers · 2.3k · h-index 22

Impact in

Papers in

Antonio Cavaliere

71 papers receiving 2.2k citations

Peers

Antonio Cavaliere
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 886
  • Oncology 726
  • Cancer Research 378
  • Pathology and Forensic Medicine 379
  • Pulmonary and Respiratory Medicine 349
Replace Moira Ragazzi with:
Moira Ragazzi Italy
Lucio Palombini Italy
Hans-Jürgen Holzhausen Germany
Theresa Scognamiglio United States
Naoyuki Miyokawa Japan
Francisco J. Martínez‐Tello Spain
Ricardo González‐Cámpora Spain
Pekka Klemi Finland
Annette Ramaswamy Germany
Kathleen Cieply United States
Antonio Cavaliere relative to Moira Ragazzi Italy Moira Ragazzi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Antonio Cavaliere

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Cavaliere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007303
2
PG-M1: a new monoclonal antibody directed against a fixative-resistant epitope on the macrophage-restricted form of the CD68 molecule.
1993257
3 2004215
4 2006195
5 2011145
6 2003106
7 200996
8 200570
9 201168
10 200654
11 200647
12 200235
13 200432
14 200430
15 198328
16 199428
17 200626
18 200725
19 199623
20 200822

About Antonio Cavaliere

Antonio Cavaliere is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Surgery and Oncology, having authored 72 papers that have together received 2.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (12 papers), Breast Cancer Treatment Studies (10 papers), Breast Lesions and Carcinomas (7 papers), HER2/EGFR in Cancer Research (6 papers), Cancer-related Molecular Pathways (5 papers), Tumors and Oncological Cases (5 papers), Genetic factors in colorectal cancer (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (886 citations), Oncology (726 citations), Cancer Research (378 citations), Pathology and Forensic Medicine (379 citations) and Pulmonary and Respiratory Medicine (349 citations). Antonio Cavaliere has collaborated with scholars based in Italy, Slovakia and United Kingdom. Frequent co-authors include Angelo Sidoni, Guido Bellezza, Nicola Avenia, E Bucciarelli, Efisio Puxeddu, Sonia Moretti, Massimo Scheibel, Fausto Santeusanio, Brunangelo Falini and Renato Colella. Their work appears in journals such as The Breast, Cancer Letters, Carcinogenesis, Annals of Oncology and Cytometry.

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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