Giacomo Baruzzo

957 total citations
16 papers, 479 citations indexed

About

Giacomo Baruzzo is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Giacomo Baruzzo has authored 16 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Ecology. Recurrent topics in Giacomo Baruzzo's work include Genomics and Phylogenetic Studies (6 papers), Single-cell and spatial transcriptomics (5 papers) and Gut microbiota and health (4 papers). Giacomo Baruzzo is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Single-cell and spatial transcriptomics (5 papers) and Gut microbiota and health (4 papers). Giacomo Baruzzo collaborates with scholars based in Italy, United States and Austria. Giacomo Baruzzo's co-authors include Barbara Di Camillo, Katharina E. Hayer, Eun Ji Kim, Gregory R. Grant, Garret A. FitzGerald, Alessandra Dal Molin, Ilaria Patuzzi, Enrico Lavezzo, Francesca Finotello and Giulia Masi and has published in prestigious journals such as Bioinformatics, Nature Methods and BMC Bioinformatics.

In The Last Decade

Giacomo Baruzzo

15 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giacomo Baruzzo Italy 9 359 106 39 36 34 16 479
Franka J. Rang Netherlands 6 467 1.3× 77 0.7× 82 2.1× 76 2.1× 31 0.9× 7 598
Michael Kimelman United States 4 266 0.7× 32 0.3× 52 1.3× 33 0.9× 54 1.6× 5 427
Xingyi Hang China 12 242 0.7× 66 0.6× 34 0.9× 22 0.6× 33 1.0× 17 433
Tomáš Mašek Czechia 14 510 1.4× 88 0.8× 28 0.7× 112 3.1× 38 1.1× 30 702
Mahesh Vangala United States 5 207 0.6× 29 0.3× 60 1.5× 20 0.6× 23 0.7× 7 358
Ted Wong Australia 11 280 0.8× 69 0.7× 64 1.6× 23 0.6× 29 0.9× 18 420
Veer Singh Marwah Finland 12 287 0.8× 97 0.9× 26 0.7× 28 0.8× 9 0.3× 14 476
Juliana Costa Silva Brazil 4 283 0.8× 84 0.8× 24 0.6× 71 2.0× 17 0.5× 8 426
Brandon Wong United States 3 245 0.7× 44 0.4× 20 0.5× 78 2.2× 12 0.4× 3 353
Charles J. Richardson United States 12 227 0.6× 86 0.8× 12 0.3× 41 1.1× 36 1.1× 19 454

Countries citing papers authored by Giacomo Baruzzo

Since Specialization
Citations

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

Fields of papers citing papers by Giacomo Baruzzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giacomo Baruzzo

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

All Works

16 of 16 papers shown
1.
Baruzzo, Giacomo, et al.. (2025). Differential cellular communication inference framework for large-scale single-cell RNA-sequencing data. NAR Genomics and Bioinformatics. 7(2). lqaf084–lqaf084.
2.
Nagai, James S., Ettore Mosca, Ivan G. Costa, et al.. (2025). Advances and challenges in cell–cell communication inference: a comprehensive review of tools, resources, and future directions. Briefings in Bioinformatics. 26(3). 3 indexed citations
3.
Baruzzo, Giacomo, et al.. (2025). quickSparseM: a library for memory- and time-efficient computation on large, sparse matrices with application to omics data. Research Padua Archive (University of Padua). 275–282. 1 indexed citations
4.
Baruzzo, Giacomo, Agnese Serafini, Francesca Finotello, et al.. (2023). Role of the Extracytoplasmic Function Sigma Factor SigE in the Stringent Response of Mycobacterium tuberculosis. Microbiology Spectrum. 11(2). e0294422–e0294422. 10 indexed citations
5.
Baruzzo, Giacomo, Piergiorgio Alotto, Noel F.C.C. de Miranda, et al.. (2022). MAST: a hybrid Multi-Agent Spatio-Temporal model of tumor microenvironment informed using a data-driven approach. Bioinformatics Advances. 2(1). vbac092–vbac092. 6 indexed citations
6.
Baruzzo, Giacomo, Ilaria Patuzzi, & Barbara Di Camillo. (2022). Beware to ignore the rare: how imputing zero-values can improve the quality of 16S rRNA gene studies results. BMC Bioinformatics. 22(S15). 618–618. 7 indexed citations
7.
Baruzzo, Giacomo, et al.. (2022). Investigating differential abundance methods in microbiome data: A benchmark study. PLoS Computational Biology. 18(9). e1010467–e1010467. 38 indexed citations
8.
Baruzzo, Giacomo, et al.. (2022). Identify, quantify and characterize cellular communication from single-cell RNA sequencing data with scSeqComm. Bioinformatics. 38(7). 1920–1929. 32 indexed citations
9.
Tangaro, M. A., Bruno Fosso, Flavio Licciulli, et al.. (2021). ITSoneWB: profiling global taxonomic diversity of eukaryotic communities on Galaxy. Bioinformatics. 37(22). 4253–4254. 2 indexed citations
10.
Baruzzo, Giacomo, et al.. (2020). Modeling Microbial Community Networks: Methods and Tools. Current Genomics. 22(4). 267–290. 4 indexed citations
11.
Patuzzi, Ilaria, Giacomo Baruzzo, Carmen Losasso, Antonia Ricci, & Barbara Di Camillo. (2019). metaSPARSim: a 16S rRNA gene sequencing count data simulator. BMC Bioinformatics. 20(S9). 416–416. 19 indexed citations
12.
Baruzzo, Giacomo, Ilaria Patuzzi, & Barbara Di Camillo. (2019). SPARSim single cell: a count data simulator for scRNA-seq data. Bioinformatics. 36(5). 1468–1475. 30 indexed citations
13.
Sambo, Francesco, Francesca Finotello, Enrico Lavezzo, et al.. (2018). Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene. BMC Bioinformatics. 19(1). 343–343. 46 indexed citations
14.
Molin, Alessandra Dal, Giacomo Baruzzo, & Barbara Di Camillo. (2017). Single-Cell RNA-Sequencing: Assessment of Differential Expression Analysis Methods. Frontiers in Genetics. 8. 62–62. 63 indexed citations
15.
Lahens, Nicholas F., Emanuela Ricciotti, Olga Smirnova, et al.. (2017). A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression. BMC Genomics. 18(1). 602–602. 50 indexed citations
16.
Baruzzo, Giacomo, Katharina E. Hayer, Eun Ji Kim, et al.. (2016). Simulation-based comprehensive benchmarking of RNA-seq aligners. Nature Methods. 14(2). 135–139. 168 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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