Enzo Acerbi

685 total citations
11 papers, 254 citations indexed

About

Enzo Acerbi is a scholar working on Molecular Biology, Ecology and Immunology. According to data from OpenAlex, Enzo Acerbi has authored 11 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Immunology. Recurrent topics in Enzo Acerbi's work include Gene Regulatory Network Analysis (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Bioinformatics and Genomic Networks (2 papers). Enzo Acerbi is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Bioinformatics and Genomic Networks (2 papers). Enzo Acerbi collaborates with scholars based in Singapore, Italy and United States. Enzo Acerbi's co-authors include Federico M. Lauro, Koh Siang Tan, Nicolas E. Gaultier, Stephan C. Schuster, Daniela I. Drautz‐Moses, Teresa Zelante, Fabio Stella, Ana Carolina M. Junqueira, Balakrishnan N. V. Premkrishnan and Rikky W. Purbojati and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and BMC Bioinformatics.

In The Last Decade

Enzo Acerbi

10 papers receiving 251 citations

Peers

Countries citing papers authored by Enzo Acerbi

Since Specialization

Citations

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

Fields of papers citing papers by Enzo Acerbi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enzo Acerbi

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools 2025 ·PubMed ·(unknown), (unknown), (unknown), Fabio Stella, Enzo Acerbi	0
2	Modeling Approaches Reveal New Regulatory Networks in Aspergillus fumigatus Metabolism 2020 ·Journal of Fungi ·Enzo Acerbi, Marcela Hortová Kohoutková, Tsokyi Choera, Nancy P. Keller, Jan Frič, Fabio Stella, Luigina Romani, Teresa Zelante	2
3	Calcineurin B in CD4+ T Cells Prevents Autoimmune Colitis by Negatively Regulating the JAK/STAT Pathway 2018 ·Frontiers in Immunology ·Andrea Mencarelli, Maurizio Vacca, Hanif Javanmard Khameneh, Enzo Acerbi, Alicia Tay, Francesca Zolezzi, Michael Poidinger, Alessandra Mortellaro	11
4	The microbiomes of blowflies and houseflies as bacterial transmission reservoirs 2017 ·Scientific Reports ·Ana Carolina M. Junqueira, Aakrosh Ratan, Enzo Acerbi, Daniela I. Drautz‐Moses, Balakrishnan N. V. Premkrishnan, Paul Igor Costea, Bodo Linz, Rikky W. Purbojati, Daniel F. Paulo, Nicolas E. Gaultier, Poorani Subramanian, Nur A. Hasan, Rita R. Colwell, Peer Bork, Ana Maria Lima de Azeredo‐Espin, Donald A. Bryant, Stephan C. Schuster	105
5	Complete Genome Sequence of Bacillus altitudinis Type Strain SGAir0031 Isolated from Tropical Air Collected in Singapore 2017 ·Genome Announcements ·(unknown), Ana Carolina M. Junqueira, Akira Uchida, Rikky W. Purbojati, (unknown), Caroline Chénard, Daniela I. Drautz‐Moses, Anthony Wong, (unknown), (unknown), Kenny J. X. Lau, Nicolas E. Gaultier, Cassie E. Heinle, Balakrishnan N. V. Premkrishnan, Elena S. Gusareva, Enzo Acerbi, Liang Yang, Stephan C. Schuster	8
6	Continuous time Bayesian networks identify Prdm1 as a negative regulator of TH17 cell differentiation in humans 2016 ·Scientific Reports ·Enzo Acerbi, Elena Viganò, Michael Poidinger, Alessandra Mortellaro, Teresa Zelante, Fabio Stella	10
7	Global transcriptomic responses of Escherichia coli K-12 to volatile organic compounds 2016 ·Scientific Reports ·Pui Yi Yung, (unknown), (unknown), Enzo Acerbi, Jamie Hinks, Thomas Seviour, Enrico Marsili, Federico M. Lauro	27
8	Ecological succession of the microbial communities of an air-conditioning cooling coil in the tropics 2016 ·Indoor Air ·Enzo Acerbi, Caroline Chénard, Dana Miller, Nicolas E. Gaultier, Cassie E. Heinle, Victor W.-C. Chang, Akira Uchida, Daniela I. Drautz‐Moses, Stephan C. Schuster, Federico M. Lauro	26
9	Marine habitats and biodiversity of Singapore’s coastal waters: A review 2016 ·Regional Studies in Marine Science ·Koh Siang Tan, Enzo Acerbi, Federico M. Lauro	43
10	Gene network inference using continuous time Bayesian networks: a comparative study and application to Th17 cell differentiation 2014 ·BMC Bioinformatics ·Enzo Acerbi, Teresa Zelante, Vipin Narang, Fabio Stella	19
11	Computational reconstruction of biochemical networks 2012 ·International Conference on Information Fusion ·Enzo Acerbi, (unknown), (unknown)	3

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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