Tommaso Andreani

576 total citations
10 papers, 278 citations indexed

About

Tommaso Andreani is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tommaso Andreani has authored 10 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Immunology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Tommaso Andreani's work include Single-cell and spatial transcriptomics (4 papers), Epigenetics and DNA Methylation (4 papers) and RNA Research and Splicing (3 papers). Tommaso Andreani is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Epigenetics and DNA Methylation (4 papers) and RNA Research and Splicing (3 papers). Tommaso Andreani collaborates with scholars based in Germany, United States and Lebanon. Tommaso Andreani's co-authors include Miguel A. Andrade‐Navarro, Jason D. Buenrostro, Kendell Clement, Caleb A. Lareau, Sara P. Garcia, Huidong Chen, Michael Vinyard, Luca Pinello, Michael U. Musheev and Christof Niehrs and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and PLoS ONE.

In The Last Decade

Tommaso Andreani

10 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tommaso Andreani Germany 7 256 58 39 36 18 10 278
Nathan M. Livingston United States 10 386 1.5× 31 0.5× 18 0.5× 19 0.5× 7 0.4× 11 427
Jessica L. Bonnar United States 3 332 1.3× 27 0.5× 37 0.9× 22 0.6× 14 0.8× 4 374
Dylan Mooijman Netherlands 9 327 1.3× 79 1.4× 31 0.8× 17 0.5× 30 1.7× 11 367
Graham Heimberg United States 5 209 0.8× 21 0.4× 36 0.9× 24 0.7× 12 0.7× 5 241
Kathleen Leeper United States 3 226 0.9× 54 0.9× 38 1.0× 17 0.5× 25 1.4× 3 255
Lauren G. Mascibroda United States 4 413 1.6× 38 0.7× 35 0.9× 25 0.7× 20 1.1× 5 441
Nika Iremadze United States 4 258 1.0× 33 0.6× 41 1.1× 21 0.6× 14 0.8× 4 285
Constantin Ahlmann-Eltze Germany 5 146 0.6× 24 0.4× 13 0.3× 47 1.3× 21 1.2× 9 216
Andrew Weems United States 9 235 0.9× 17 0.3× 18 0.5× 14 0.4× 26 1.4× 10 305
Anca F. Savulescu South Africa 10 217 0.8× 25 0.4× 9 0.2× 31 0.9× 27 1.5× 14 276

Countries citing papers authored by Tommaso Andreani

Since Specialization
Citations

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

Fields of papers citing papers by Tommaso Andreani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tommaso Andreani

This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Andreani. A scholar is included among the top collaborators of Tommaso Andreani 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 Tommaso Andreani. Tommaso Andreani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Vahid, Milad R., Andre H. Kurlovs, Tommaso Andreani, et al.. (2023). DiSiR: fast and robust method to identify ligand–receptor interactions at subunit level from single-cell RNA-sequencing data. NAR Genomics and Bioinformatics. 5(1). lqad030–lqad030. 6 indexed citations
2.
Andreani, Tommaso, Linda M. Slot, Carsten Strübing, et al.. (2022). Benchmarking computational methods for B-cell receptor reconstruction from single-cell RNA-seq data. NAR Genomics and Bioinformatics. 4(3). lqac049–lqac049. 8 indexed citations
3.
Albrecht, Steffen, Tommaso Andreani, Miguel A. Andrade‐Navarro, & Jean−Fred Fontaine. (2022). Single-cell specific and interpretable machine learning models for sparse scChIP-seq data imputation. PLoS ONE. 17(7). e0270043–e0270043. 2 indexed citations
4.
Andreani, Tommaso, Steffen Albrecht, Jean−Fred Fontaine, & Miguel A. Andrade‐Navarro. (2020). Computational identification of cell-specific variable regions in ChIP-seq data. Nucleic Acids Research. 48(9). e53–e53. 4 indexed citations
5.
Frochaux, Michael, Maroun Bou Sleiman, Vincent Gardeux, et al.. (2020). cis-regulatory variation modulates susceptibility to enteric infection in the Drosophila genetic reference panel. Genome biology. 21(1). 6–6. 8 indexed citations
6.
Sleiman, Maroun Bou, Michael Frochaux, Tommaso Andreani, et al.. (2020). Enteric infection induces Lark-mediated intron retention at the 5′ end of Drosophila genes. Genome biology. 21(1). 4–4. 7 indexed citations
7.
Andrade‐Navarro, Miguel A., Eike Spruth, Nancy Mah, et al.. (2020). RNA Sequencing of Human Peripheral Blood Cells Indicates Upregulation of Immune-Related Genes in Huntington's Disease. Frontiers in Neurology. 11. 573560–573560. 11 indexed citations
8.
Chen, Huidong, Caleb A. Lareau, Tommaso Andreani, et al.. (2019). Assessment of computational methods for the analysis of single-cell ATAC-seq data. Genome biology. 20(1). 241–241. 203 indexed citations
9.
Andreani, Tommaso, et al.. (2019). GADD45 promotes locus-specific DNA demethylation and 2C cycling in embryonic stem cells. Genes & Development. 33(13-14). 782–798. 28 indexed citations
10.
Sleiman, Maroun Bou, Michael Frochaux, Tommaso Andreani, et al.. (2019). Enteric infection induces Lark-mediated intron retention at the 5' end of Drosophila genes. Zenodo (CERN European Organization for Nuclear Research). 1 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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