Gustavo Leone
Impact in
- Oncology top 0.2%
- Cancer-related Molecular Pathways
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Oncology 77
- Cancer-related Molecular Pathways 58
- Cancer Cells and Metastasis 9
- Co-authors
- James DeGregoriLaszlo JakoiJoseph R. NevinsShih‐Yin TsaiLindsey N. KentHui‐Zi ChenAlexander MironMichael C. Ostrowski
- Journals
- Molecular and Cellular Biology (11 papers)Cancer Research (10 papers)Oncogene (10 papers)Journal of Biological Chemistry (6 papers)Journal of Clinical Investigation (6 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Gustavo Leone
130 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Oncology 5.1k
- Cancer Research 2.3k
- Molecular Biology 7.9k
- Cell Biology 1.1k
- Ophthalmology 524
Countries citing papers authored by Gustavo Leone
This map shows the geographic impact of Gustavo Leone'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 Gustavo Leone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gustavo Leone more than expected).
Fields of papers citing papers by Gustavo Leone
This network shows the impact of papers produced by Gustavo Leone. 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 Gustavo Leone. The network helps show where Gustavo Leone may publish in the future.
Co-authors
The 25 scholars most cited alongside Gustavo Leone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | 2021 | 14 | |
| 3 | 2019 | 93 | |
| 4 | 2018 | 33 | |
| 5 | 2018 | 108 | |
| 6 | 2017 | 149 | |
| 7 | 2017 | 54 | |
| 8 | 2014 | 76 | |
| 9 | 2014 | 54 | |
| 10 | 2013 | 85 | |
| 11 | 2012 | 51 | |
| 12 | 2012 | 69 | |
| 13 | Non-parametric population analysis of cellular phenotypes | 2011 | 3 |
| 14 | 2010 | 54 | |
| 15 | 2010 | 97 | |
| 16 | 2010 | 27 | |
| 17 | 2008 | 275 | |
| 18 | 2008 | 29 | |
| 19 | 2006 | 87 | |
| 20 | 2004 | 49 |
About Gustavo Leone
Gustavo Leone is a scholar working on Oncology, Computational Mathematics, Molecular Biology, Biophysics and Cancer Research, having authored 132 papers that have together received 11.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (58 papers), Epigenetics and DNA Methylation (37 papers), Genomics and Chromatin Dynamics (19 papers), Microtubule and mitosis dynamics (11 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Cancer Cells and Metastasis (9 papers), Cell Image Analysis Techniques (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Oncology (5.1k citations), Cancer Research (2.3k citations), Molecular Biology (7.9k citations), Cell Biology (1.1k citations) and Ophthalmology (524 citations). Gustavo Leone has collaborated with scholars based in United States, Canada and France. Frequent co-authors include James DeGregori, Laszlo Jakoi, Joseph R. Nevins, Shih‐Yin Tsai, Lindsey N. Kent, Hui‐Zi Chen, Alexander Miron, Michael C. Ostrowski, Alain de Bruin and Harold I. Saavedra. Their work appears in journals such as Molecular and Cellular Biology, Cancer Research, Oncogene, Journal of Biological Chemistry and Journal of Clinical 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.