A. Rubagotti

6.0k citations
131 papers · 3.6k · h-index 32

Impact in

Papers in

A. Rubagotti

125 papers receiving 3.4k citations

Peers

A. Rubagotti
Comparison fields: 5 of 97
  • Cancer Research 949
  • Reproductive Medicine 390
  • Oncology 1.2k
  • Genetics 975
  • Pulmonary and Respiratory Medicine 757
Replace Hitoshi Zembutsu with:
Hitoshi Zembutsu Japan
Mark L. Graham United States
M. Namer France
M. Bontenbal Netherlands
D C Tormey United States
J A McKinna United Kingdom
Roberto Buzzoni Italy
Reena S. Cecchini United States
Diana Crivellari Italy
Nicoletta Zilembo Italy
A. Rubagotti relative to Hitoshi Zembutsu Japan Hitoshi Zembutsu's profile →
Citations per field
00.5×1.5×2.5×
Hitoshi Zembutsu · 1×
Citations per year

Countries citing papers authored by A. Rubagotti

Since Specialization
Citations

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

Fields of papers citing papers by A. Rubagotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005344
2 2006158
3 2006150
4 2000125
5 1986122
6 1999117
7 2005111
8 2005102
9 199493
10 200589
11 199080
12 199669
13
Tamoxifen or surgery plus tamoxifen as primary treatment for elderly patients with operable breast cancer: The G.R.E.T.A. Trial. Group for Research on Endocrine Therapy in the Elderly.
199568
14 199364
15 200360
16 200957
17 200156
18 201954
19 200653
20 198752

About A. Rubagotti

A. Rubagotti is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 131 papers that have together received 3.6k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (23 papers), Breast Cancer Treatment Studies (22 papers), Prostate Cancer Treatment and Research (17 papers), Ovarian cancer diagnosis and treatment (12 papers), Cancer Treatment and Pharmacology (12 papers), Lymphoma Diagnosis and Treatment (12 papers), Cardiac Fibrosis and Remodeling (8 papers) and Advanced Breast Cancer Therapies (7 papers). The work is most often cited by research in Cancer Research (949 citations), Reproductive Medicine (390 citations), Oncology (1.2k citations), Genetics (975 citations) and Pulmonary and Respiratory Medicine (757 citations). A. Rubagotti has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Francesco Boccardo, Pamela Guglielmini, P Sismondi, M. Mesiti, Matteo Puntoni, D. Amoroso, V. Distante, PierFranco Conte, Mauro Porpiglia and Milena Bruzzone. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer, Oncology, Annals of Oncology and Gynecologic Oncology.

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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