Pier Francesco Palamara
- Genetics top 1%
- Genetic Associations and Epidemiology 20
- Genetic and phenotypic traits in livestock 11
- Genetic Mapping and Diversity in Plants and Animals 9
- Forensic and Genetic Research 7
- Genetic diversity and population structure 6
- Evolution and Genetic Dynamics 5
- Cancer Research top 10%
- Hematology top 10%
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies 4
- Genetics top 10%
- Genetic Associations and Epidemiology 20
- Genetic and phenotypic traits in livestock 11
- Genetic Mapping and Diversity in Plants and Animals 9
- Forensic and Genetic Research 7
- Genetic diversity and population structure 6
- Evolution and Genetic Dynamics 5
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- Modular Robots and Swarm Intelligence 3
- Co-authors
- Alkes L. PricePo‐Ru LohHilary K. FinucaneItsik Pe’erYakir ReshefPetr DanecekShane McCarthyRichard Durbin
- Cited by
- GeneticsCancer ResearchHematology
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (3 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Pier Francesco Palamara
32 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Genetics 1.6k
- Cancer Research 264
- Hematology 150
- Molecular Biology 800
- Genetics 113
Countries citing papers authored by Pier Francesco Palamara
This map shows the geographic impact of Pier Francesco Palamara'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 Pier Francesco Palamara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pier Francesco Palamara more than expected).
Fields of papers citing papers by Pier Francesco Palamara
This network shows the impact of papers produced by Pier Francesco Palamara. 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 Pier Francesco Palamara. The network helps show where Pier Francesco Palamara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pier Francesco Palamara, 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 | 2026 | 0 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 39 | |
| 9 | 2020 | 57 | |
| 10 | 2018 | 42 | |
| 11 | 2017 | 242 | |
| 12 | 2016 | 19 | |
| 13 | 2016 | 185 | |
| 14 | 2012 | 43 | |
| 15 | 2012 | 9 | |
| 16 | 2012 | 154 | |
| 17 | 2011 | 24 | |
| 18 | 2008 | 24 | |
| 19 | 2008 | 4 | |
| 20 | A Robotic Soccer Passing Task Using Petri Net Plans (Demo Paper) | 2008 | 1 |
About Pier Francesco Palamara
Pier Francesco Palamara is a scholar working on Genetics, Cancer Research and Computational Theory and Mathematics, having authored 34 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (20 papers), Genetic and phenotypic traits in livestock (11 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Forensic and Genetic Research (7 papers), Genetic diversity and population structure (6 papers), Evolution and Genetic Dynamics (5 papers), Genomics and Phylogenetic Studies (4 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Genetics (1.6k citations), Cancer Research (264 citations) and Hematology (150 citations). Pier Francesco Palamara has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Alkes L. Price, Po‐Ru Loh, Hilary K. Finucane, Itsik Pe’er, Yakir Reshef, Petr Danecek, Shane McCarthy, Richard Durbin, Christian Fuchsberger and Gonçalo R. Abecasis. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.