Francesca Chiaromonte
- Molecular Biology top 2%
- Genetics top 2%
- Plant Science top 2%
- Statistics and Probability top 1%
- Cancer Research top 10%
- Co-authors
- Kateryna D. MakovaR. Dennis CookRoss C. HardisonWebb MillerSvitlana TyekuchevaJames TaylorYogeshwar KelkarKristin A. Eckert
- Topics
- Genomics and Chromatin Dynamics (23 papers)Chromosomal and Genetic Variations (19 papers)Genomics and Phylogenetic Studies (18 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- United StatesItalyCanada
In The Last Decade
Francesca Chiaromonte
93 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Molecular Biology 2.5k
- Genetics 1.1k
- Plant Science 1.0k
- Statistics and Probability 335
- Cancer Research 200
Countries citing papers authored by Francesca Chiaromonte
This map shows the geographic impact of Francesca Chiaromonte'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 Francesca Chiaromonte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Chiaromonte more than expected).
Fields of papers citing papers by Francesca Chiaromonte
This network shows the impact of papers produced by Francesca Chiaromonte. 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 Francesca Chiaromonte. The network helps show where Francesca Chiaromonte may publish in the future.
Co-authorship network of co-authors of Francesca Chiaromonte
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Chiaromonte. A scholar is included among the top collaborators of Francesca Chiaromonte 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 Francesca Chiaromonte. Francesca Chiaromonte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression | 2 |
| 5 | 28 | |
| 6 | Efficient and Effective $L_0$ Feature Selection | 3 |
| 7 | 48 | |
| 8 | 26 | |
| 9 | 27 | |
| 10 | 196 | |
| 11 | 53 | |
| 12 | 47 | |
| 13 | 86 | |
| 14 | 69 | |
| 15 | 1 | |
| 16 | 87 | |
| 17 | 65 | |
| 18 | 45 | |
| 19 | 51 | |
| 20 | 158 |
About Francesca Chiaromonte
Francesca Chiaromonte is a scholar working on Statistics and Probability, Molecular Biology and Genetics, having authored 97 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (23 papers), Chromosomal and Genetic Variations (19 papers) and Genomics and Phylogenetic Studies (18 papers). The work is most often cited by research in Statistics and Probability (335 citations), Genetics (1.1k citations) and Molecular Biology (2.5k citations). Francesca Chiaromonte has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Kateryna D. Makova, R. Dennis Cook, Ross C. Hardison, Webb Miller, Svitlana Tyekucheva, James Taylor, Yogeshwar Kelkar, Kristin A. Eckert, Bing Li and Laura Elnitski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.