Federico Comoglio

2.8k total citations
27 papers, 1.3k citations indexed

About

Federico Comoglio is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Federico Comoglio has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Plant Science. Recurrent topics in Federico Comoglio's work include Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (8 papers) and RNA and protein synthesis mechanisms (7 papers). Federico Comoglio is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (8 papers) and RNA and protein synthesis mechanisms (7 papers). Federico Comoglio collaborates with scholars based in Switzerland, United States and United Kingdom. Federico Comoglio's co-authors include Renato Paro, Makiko Seimiya, Bas van Steensel, Christian Beisel, Remo Rohs, Maurizio Rinaldi, Cem Sievers, Ludo Pagie, Klaus Hansen and Timo Glatter and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Federico Comoglio

26 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Federico Comoglio Switzerland 17 989 170 144 130 106 27 1.3k
Thomas Whitington Sweden 7 1.2k 1.2× 241 1.4× 146 1.0× 80 0.6× 99 0.9× 8 1.4k
Adnan Derti United States 16 1.1k 1.1× 117 0.7× 183 1.3× 59 0.5× 73 0.7× 20 1.3k
Fabrice Lejeune France 21 2.3k 2.3× 159 0.9× 153 1.1× 151 1.2× 60 0.6× 32 2.5k
Boris Adryan United Kingdom 21 1.2k 1.2× 252 1.5× 118 0.8× 109 0.8× 134 1.3× 43 1.4k
Lisa Ann Cirillo United States 15 1.6k 1.6× 362 2.1× 134 0.9× 104 0.8× 109 1.0× 21 1.9k
Chenghao Xuan China 18 887 0.9× 152 0.9× 222 1.5× 87 0.7× 102 1.0× 35 1.1k
Mitsutaka Kadota Japan 20 805 0.8× 284 1.7× 173 1.2× 52 0.4× 77 0.7× 47 1.1k
Tanya Rozovskaia Israel 11 1.5k 1.5× 195 1.1× 101 0.7× 93 0.7× 46 0.4× 11 1.7k
Hans-Martin Herz United States 15 1.9k 1.9× 244 1.4× 140 1.0× 93 0.7× 37 0.3× 15 2.0k
María Méndez-Lago Spain 15 797 0.8× 158 0.9× 133 0.9× 91 0.7× 54 0.5× 24 1.1k

Countries citing papers authored by Federico Comoglio

Since Specialization
Citations

This map shows the geographic impact of Federico Comoglio'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 Federico Comoglio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Comoglio more than expected).

Fields of papers citing papers by Federico Comoglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federico Comoglio. 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 Federico Comoglio. The network helps show where Federico Comoglio may publish in the future.

Co-authorship network of co-authors of Federico Comoglio

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Comoglio. A scholar is included among the top collaborators of Federico Comoglio 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 Federico Comoglio. Federico Comoglio 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
2.
Comoglio, Federico, et al.. (2022). Systematic analysis of intrinsic enhancer-promoter compatibility in the mouse genome. Molecular Cell. 82(13). 2519–2531.e6. 54 indexed citations
3.
Fish, Kamonwan, Federico Comoglio, Arthur L. Shaffer, et al.. (2020). Rewiring of B cell receptor signaling by Epstein–Barr virus LMP2A. Proceedings of the National Academy of Sciences. 117(42). 26318–26327. 49 indexed citations
4.
Comoglio, Federico, Marta Simonatto, Sara Polletti, et al.. (2019). Dissection of acute stimulus-inducible nucleosome remodeling in mammalian cells. Genes & Development. 33(17-18). 1159–1174. 28 indexed citations
5.
Pagie, Ludo, Vincent FitzPatrick, Marcel de Haas, et al.. (2019). High-throughput identification of human SNPs affecting regulatory element activity. Nature Genetics. 51(7). 1160–1169. 122 indexed citations
6.
Leemans, Christ, Laura Brueckner, Federico Comoglio, et al.. (2019). Promoter-Intrinsic and Local Chromatin Features Determine Gene Repression in LADs. Cell. 177(4). 852–864.e14. 101 indexed citations
7.
Comoglio, Federico, Hyun Jung Park, Stefan Schoenfelder, et al.. (2018). Thrombopoietin signaling to chromatin elicits rapid and pervasive epigenome remodeling within poised chromatin architectures. Genome Research. 28(3). 295–309. 33 indexed citations
8.
Pagano, Francesca, Federico Comoglio, Jacob Grinfeld, et al.. (2018). MicroRNA-101 expression is associated with JAK2V617F activity and regulates JAK2/STAT5 signaling. Leukemia. 32(8). 1826–1830. 2 indexed citations
9.
Ciabrelli, Filippo, Federico Comoglio, Simon Fellous, et al.. (2017). Stable Polycomb-dependent transgenerational inheritance of chromatin states in Drosophila. Nature Genetics. 49(6). 876–886. 73 indexed citations
10.
Loughran, Stephen J., Federico Comoglio, Fiona Hamey, et al.. (2017). Mbd3/NuRD controls lymphoid cell fate and inhibits tumorigenesis by repressing a B cell transcriptional program. The Journal of Experimental Medicine. 214(10). 3085–3104. 20 indexed citations
11.
Hauri, Simon, Federico Comoglio, Makiko Seimiya, et al.. (2016). A High-Density Map for Navigating the Human Polycomb Complexome. Cell Reports. 17(2). 583–595. 194 indexed citations
12.
Comoglio, Federico, Cem Sievers, & Renato Paro. (2015). Sensitive and highly resolved identification of RNA-protein interaction sites in PAR-CLIP data. BMC Bioinformatics. 16(1). 32–32. 22 indexed citations
13.
Katsuyama, Tomonori, Federico Comoglio, Makiko Seimiya, Erik Cabuy, & Renato Paro. (2015). During Drosophila disc regeneration, JAK/STAT coordinates cell proliferation with Dilp8-mediated developmental delay. Proceedings of the National Academy of Sciences. 112(18). E2327–36. 94 indexed citations
14.
Comoglio, Federico & Renato Paro. (2014). Combinatorial Modeling of Chromatin Features Quantitatively Predicts DNA Replication Timing in Drosophila. PLoS Computational Biology. 10(1). e1003419–e1003419. 14 indexed citations
15.
Sievers, Cem, Federico Comoglio, Makiko Seimiya, Gunter Merdes, & Renato Paro. (2014). A Deterministic Analysis of Genome Integrity during Neoplastic Growth in Drosophila. PLoS ONE. 9(2). e87090–e87090. 12 indexed citations
16.
Sardo, Federica Lo, Chiara Lanzuolo, Federico Comoglio, et al.. (2013). PcG-Mediated Higher-Order Chromatin Structures Modulate Replication Programs at the Drosophila BX-C. PLoS Genetics. 9(2). e1003283–e1003283. 14 indexed citations
17.
Comoglio, Federico, Letizia Fracchia, & Maurizio Rinaldi. (2013). Bayesian Inference from Count Data Using Discrete Uniform Priors. PLoS ONE. 8(10). e74388–e74388. 7 indexed citations
18.
Felizzi, Federico & Federico Comoglio. (2012). Network-of-queues approach to B-cell-receptor affinity discrimination. Physical Review E. 85(6). 61926–61926. 2 indexed citations
19.
Comoglio, Federico & Maurizio Rinaldi. (2011). A Topological Framework for the Computation of the HOMFLY Polynomial and Its Application to Proteins. PLoS ONE. 6(4). e18693–e18693. 9 indexed citations
20.
Busacca, Sara, Serena Germano, Loris De Cecco, et al.. (2009). MicroRNA Signature of Malignant Mesothelioma with Potential Diagnostic and Prognostic Implications. American Journal of Respiratory Cell and Molecular Biology. 42(3). 312–319. 134 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026