Leonardo Faoro

2.2k citations
36 papers · 1.6k indexed · 1 hit paper · h-index 16
Topics
Glioma Diagnosis and Treatment (5 papers)Lung Cancer Treatments and Mutations (5 papers)Lung Cancer Research Studies (4 papers)
Partner nations
United StatesBrazilSpain

In The Last Decade

Leonardo Faoro

36 papers receiving 1.5k citations

Hit Papers

Cabozantinib for radioiodine-refractory differentiated th...2021202620222024202150100150

Peers

Leonardo Faoro
Comparison fields: 5 of 82
  • Oncology 691
  • Molecular Biology 686
  • Pulmonary and Respiratory Medicine 344
  • Surgery 248
  • Pathology and Forensic Medicine 202
Replace So Young Kang with:
So Young Kang South Korea
Élodie Vauléon France
Abha Khanna United States
Patricia LoRusso United States
Rebecca Senetta Italy
Susanna Cappia Italy
Rosa Fonti Italy
Deborah Morosini United States
Birgit M. Kräling United States
Katrin E. Rhodes United States
Leonardo Faoro relative to So Young Kang South Korea So Young Kang's profile →
Citations per field
00.5×1.5×
So Young Kang · 1×
Citations per year

Countries citing papers authored by Leonardo Faoro

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Faoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Faoro

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Faoro. A scholar is included among the top collaborators of Leonardo Faoro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leonardo Faoro. Leonardo Faoro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2
Cabozantinib for radioiodine-refractory differentiated thyroid cancer (COSMIC-311): a randomised, double-blind, placebo-controlled, phase 3 trialbreakdown →
156
3 56
4 10
5 4
6 96
7 48
8 211
9 82
10 13
11 1
12 23
13 114
14 37
15 7
16 8
17 2
18 10
19 27
20 3

About Leonardo Faoro

Leonardo Faoro is a scholar working on Aging, Genetics and Oncology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Oncology (691 citations), Genetics (165 citations) and Hepatology (121 citations). Leonardo Faoro has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include Ravi Salgia, Everett E. Vokes, Nazia F. Jafri, Rimas V. Lukas, M. Kelly Nicholas, Rajani Kanteti, David A. Karlin, Fang Ting Liang, Jane E. Huang and Soundararajan Krishnaswamy. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

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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