Ester Pantaleo
Impact in
- Health Informatics top 5%
- Finance top 10%
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
Papers in
-
- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 4
- Co-authors
- R. Bellotti (29 shared papers)A. Monaco (28 shared papers)Nicola Amoroso (28 shared papers)Sabina Tangaro (22 shared papers)Loredana Bellantuono (20 shared papers)Angela Lombardi (6 shared papers)Saverio Pascazio (3 shared papers)Paolo Facchi (3 shared papers)
- Journals
- Scientific Reports (5 papers)Applied Sciences (3 papers)PLoS ONE (3 papers)Journal of Personalized Medicine (1 paper)Rivista Del Nuovo Cimento (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Ester Pantaleo
33 papers receiving 474 citations
Peers
Comparison fields: 5 of 116
- Health Informatics 22
- Finance 53
- Signal Processing 47
- Health Information Management 18
- Artificial Intelligence 106
Countries citing papers authored by Ester Pantaleo
This map shows the geographic impact of Ester Pantaleo'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 Ester Pantaleo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ester Pantaleo more than expected).
Fields of papers citing papers by Ester Pantaleo
This network shows the impact of papers produced by Ester Pantaleo. 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 Ester Pantaleo. The network helps show where Ester Pantaleo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ester Pantaleo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 54 | |
| 2 | 2022 | 47 | |
| 3 | 2007 | 37 | |
| 4 | 2020 | 36 | |
| 5 | 2021 | 35 | |
| 6 | 2011 | 34 | |
| 7 | 2021 | 25 | |
| 8 | 2022 | 23 | |
| 9 | 2023 | 21 | |
| 10 | 2020 | 18 | |
| 11 | 2023 | 15 | |
| 12 | 2022 | 15 | |
| 13 | 2023 | 13 | |
| 14 | 2008 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2024 | 11 | |
| 17 | 2010 | 11 | |
| 18 | 2009 | 10 | |
| 19 | 2023 | 7 | |
| 20 | 2010 | 6 |
About Ester Pantaleo
Ester Pantaleo is a scholar working on Molecular Biology, Artificial Intelligence, Health, Toxicology and Mutagenesis, Environmental Engineering and Finance, having authored 36 papers that have together received 487 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Air Quality and Health Impacts (4 papers), Air Quality Monitoring and Forecasting (4 papers), Financial Risk and Volatility Modeling (4 papers), Bioinformatics and Genomic Networks (4 papers), Health, Environment, Cognitive Aging (3 papers), Financial Markets and Investment Strategies (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (22 citations), Finance (53 citations), Signal Processing (47 citations), Health Information Management (18 citations) and Artificial Intelligence (106 citations). Ester Pantaleo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include R. Bellotti, A. Monaco, Nicola Amoroso, Sabina Tangaro, Loredana Bellantuono, Angela Lombardi, Saverio Pascazio, Paolo Facchi, Rosario N. Mantegna and Fabrizio Lillo. Their work appears in journals such as Scientific Reports, Applied Sciences, PLoS ONE, Journal of Personalized Medicine and Rivista Del Nuovo Cimento.
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.