Roberto E. Favoni

1.9k citations
39 papers · 1.6k · h-index 21

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 6
    • PI3K/AKT/mTOR signaling in cancer 5
    • Glycosylation and Glycoproteins Research 4
    • Cancer Cells and Metastasis 5

Roberto E. Favoni

38 papers receiving 1.6k citations

Peers

Roberto E. Favoni
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 519
  • Cancer Research 298
  • Oncology 464
  • Molecular Biology 762
  • Pulmonary and Respiratory Medicine 311
Replace Anna L. Stratford with:
Anna L. Stratford Canada
Bianca Maria Veneziani Italy
Minjing Zou Saudi Arabia
Fatima Rangwala United States
Amir Samani Canada
Iñigo Landa United States
Eva M. Valverius United States
Yuzo Furuya Japan
Luis J. Leandro‐García Spain
Donald J. Vander Griend United States
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Citations per field
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Citations per year

Countries citing papers authored by Roberto E. Favoni

Since Specialization
Citations

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

Fields of papers citing papers by Roberto E. Favoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto E. Favoni. 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 Roberto E. Favoni. The network helps show where Roberto E. Favoni may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989354
2 1990138
3 2009115
4 199170
5 200070
6 200763
7 201361
8 200860
9 198953
10 199452
11 201052
12 199152
13 200745
14 200545
15 199843
16 199534
17 199528
18 199723
19 201021
20 199321

About Roberto E. Favoni

Roberto E. Favoni is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Estrogen and related hormone effects (8 papers), Occupational and environmental lung diseases (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Cancer Cells and Metastasis (5 papers), Lung Cancer Treatments and Mutations (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (519 citations), Cancer Research (298 citations), Oncology (464 citations), Molecular Biology (762 citations) and Pulmonary and Respiratory Medicine (311 citations). Roberto E. Favoni has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Douglas Yee, Neal Rosen, Alessandra de Cupis, Gail S. Lebovic, Marc E. Lippman, Rachel Marcus, Soonmyoung Paik, K. J. Cullen, Tullio Florio and D.R. Powell. Their work appears in journals such as Trends in Pharmacological Sciences, British Journal of Pharmacology, International Journal of Oncology, European Journal of Pharmacology and Thorax.

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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