Francesca Chiaromonte

16.3k total citations · 1 hit paper
97 papers, 4.1k citations indexed

About

Francesca Chiaromonte is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Francesca Chiaromonte has authored 97 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 22 papers in Genetics and 20 papers in Plant Science. Recurrent topics in Francesca Chiaromonte's work include Genomics and Chromatin Dynamics (23 papers), Chromosomal and Genetic Variations (19 papers) and Genomics and Phylogenetic Studies (18 papers). Francesca Chiaromonte is often cited by papers focused on Genomics and Chromatin Dynamics (23 papers), Chromosomal and Genetic Variations (19 papers) and Genomics and Phylogenetic Studies (18 papers). Francesca Chiaromonte collaborates with scholars based in United States, Italy and Canada. Francesca Chiaromonte's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Francesca Chiaromonte

93 papers receiving 4.0k citations

Hit Papers

Evidence for sharp increase in the economic damages of ex... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Francesca Chiaromonte
Xiang Zhou United States
Paul Marjoram United States
Dan Nettleton United States
Russ Wolfinger United States
Benjamin L. King United States
Christopher Yau United Kingdom
Xiang Zhou United States
Francesca Chiaromonte
Citations per year, relative to Francesca Chiaromonte Francesca Chiaromonte (= 1×) peers Xiang Zhou

Countries citing papers authored by Francesca Chiaromonte

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Coronese, Matteo, et al.. (2024). Raided by the storm: How three decades of thunderstorms shaped U.S. incomes and wages. Journal of Environmental Economics and Management. 130. 103074–103074. 5 indexed citations
2.
Lillo, Fabrizio, et al.. (2024). The public use of early-stage scientific advances in carbon dioxide removal: a science-technology-policy-media perspective. Environmental Research Letters. 19(11). 114009–114009. 1 indexed citations
3.
Larivière, Delphine, Sarah J. C. Craig, Ian M. Paul, et al.. (2024). Methylation profiles at birth linked to early childhood obesity. Journal of Developmental Origins of Health and Disease. 15. e7–e7. 8 indexed citations
4.
Reimherr, Matthew, et al.. (2021). A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression. Neural Information Processing Systems. 34. 2 indexed citations
5.
Čechová, Monika, Robert S. Harris, Marta Tomaszkiewicz, et al.. (2019). High Satellite Repeat Turnover in Great Apes Studied with Short- and Long-Read Technologies. Molecular Biology and Evolution. 36(11). 2415–2431. 28 indexed citations
6.
Chiaromonte, Francesca, et al.. (2018). Efficient and Effective $L_0$ Feature Selection. arXiv (Cornell University). 3 indexed citations
7.
Guiblet, Wilfried M., Marzia A. Cremona, Monika Čechová, et al.. (2018). Long-read sequencing technology indicates genome-wide effects of non-B DNA on polymerization speed and error rate. Genome Research. 28(12). 1767–1778. 48 indexed citations
8.
Kvikstad, Erika, Francesca Chiaromonte, & Kateryna D. Makova. (2009). Ride the wavelet: A multiscale analysis of genomic contexts flanking small insertions and deletions. Genome Research. 19(7). 1153–1164. 26 indexed citations
9.
Cheng, Yong, David King, Louis C. Doré, et al.. (2008). Transcriptional enhancement by GATA1-occupied DNA segments is strongly associated with evolutionary constraint on the binding site motif. Genome Research. 18(12). 1896–1905. 27 indexed citations
10.
Kelkar, Yogeshwar, Svitlana Tyekucheva, Francesca Chiaromonte, & Kateryna D. Makova. (2007). The genome-wide determinants of human and chimpanzee microsatellite evolution. Genome Research. 18(1). 30–38. 196 indexed citations
11.
King, David, James Taylor, Ying Zhang, et al.. (2007). Finding cis-regulatory elements using comparative genomics: Some lessons from ENCODE data. Genome Research. 17(6). 775–786. 53 indexed citations
12.
Wang, Hao, Ying Zhang, Yong Cheng, et al.. (2006). Experimental validation of predicted mammalian erythroid cis-regulatory modules. Genome Research. 16(12). 1480–1492. 47 indexed citations
13.
Taylor, James, Svitlana Tyekucheva, David King, et al.. (2006). ESPERR: Learning strong and weak signals in genomic sequence alignments to identify functional elements. Genome Research. 16(12). 1596–1604. 86 indexed citations
14.
Taylor, James, Svitlana Tyekucheva, Michael C. Zody, Francesca Chiaromonte, & Kateryna D. Makova. (2005). Strong and Weak Male Mutation Bias at Different Sites in the Primate Genomes: Insights from the Human-Chimpanzee Comparison. Molecular Biology and Evolution. 23(3). 565–573. 69 indexed citations
15.
Li, Bing, Hongyuan Zha, & Francesca Chiaromonte. (2004). Linear contour learning: a method for supervised dimension reduction. Uncertainty in Artificial Intelligence. 349–356. 1 indexed citations
16.
Kolbe, Diana L., James Taylor, Laura Elnitski, et al.. (2004). Regulatory Potential Scores From Genome-Wide Three-Way Alignments of Human, Mouse, and Rat. Genome Research. 14(4). 700–707. 87 indexed citations
17.
Chiaromonte, Francesca. (2003). Gene Length and Proximity to Neighbors Affect Genome-Wide Expression Levels. Genome Research. 13(12). 2602–2608. 65 indexed citations
18.
Chiaromonte, Francesca, R. Weber, Krishna M. Roskin, et al.. (2003). The Share of Human Genomic DNA under Selection Estimated from Human-Mouse Genomic Alignments. Cold Spring Harbor Symposia on Quantitative Biology. 68(0). 245–254. 45 indexed citations
19.
Chiaromonte, Francesca, et al.. (2002). Dimension reduction strategies for analyzing global gene expression data with a response. Mathematical Biosciences. 176(1). 123–144. 51 indexed citations
20.
Chiaromonte, Francesca, Von Bing Yap, & William L. Miller. (2001). SCORING PAIRWISE GENOMIC SEQUENCE ALIGNMENTS. PubMed. 115–126. 158 indexed citations

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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