A. Carbone

92 papers receiving 1.1k citations

Peers

A. Carbone
Comparison fields: 5 of 95
  • Obstetrics and Gynecology 147
  • Oncology 285
  • Neurology 145
  • Reproductive Medicine 70
  • Immunology 141
Replace Gloria A. Niehans with:
Gloria A. Niehans United States
Annette Fisseler‐Eckhoff Germany
Fılız Bolat Türkiye
Fumihiro Ogawa Japan
Francesca Sanguedolce Italy
Sophie Collardeau‐Frachon France
Hideo Niibe Japan
Francesco Tanda Italy
Süleyman Buyukberber Türkiye
C. Elliott Bell United States
A. Carbone relative to Gloria A. Niehans United States Gloria A. Niehans's profile →
Citations per field
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Gloria A. Niehans · 1×
Citations per year

Countries citing papers authored by A. Carbone

Since Specialization
Citations

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

Fields of papers citing papers by A. Carbone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Frequent loss of expression of the cyclin-dependent kinase inhibitor p27 in epithelial ovarian cancer.
1999109
2 198950
3 201546
4 198145
5 201044
6 197537
7
Subpopulations of T lymphocytes in myasthenia gravis patients.
197937
8 200834
9 201133
10 198832
11 200929
12 202028
13
Human Harvey-ras is biochemically different from Kirsten- or N-ras.
199127
14 201226
15 201225
16 200523
17 200022
18
Subpopulations of lymphocytes in human thymomas.
197922
19 200521
20 198621

About A. Carbone

A. Carbone is a scholar working on Oncology, Surgery, Molecular Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 94 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (8 papers), Endometrial and Cervical Cancer Treatments (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Myasthenia Gravis and Thymoma (5 papers), Immune Cell Function and Interaction (5 papers), HER2/EGFR in Cancer Research (4 papers), T-cell and B-cell Immunology (4 papers) and Neuroendocrine Tumor Research Advances (4 papers). The work is most often cited by research in Obstetrics and Gynecology (147 citations), Oncology (285 citations), Neurology (145 citations), Reproductive Medicine (70 citations) and Immunology (141 citations). A. Carbone has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Mauro Piantelli, Giovanni Scambia, Piero Musiani, Gabriella Ferrandina, Libero Lauriola, Gian Franco Zannoni, Vincenzo Arena, Fabio Maria Vecchio, Valerio Gaetano Vellone and Luigi Maria Larocca. Their work appears in journals such as Cancer, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Diagnostic Pathology, Cardiovascular Pathology and Gynecologic and Obstetric Investigation.

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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