Enzo Acerbi

38 total papers · 664 total citations
11 papers, 253 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 253 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, Daniela I. Drautz‐Moses, Nicolas E. Gaultier, Stephan C. Schuster, Fabio Stella, Rikky W. Purbojati, Teresa Zelante, Balakrishnan N. V. Premkrishnan and Ana Carolina M. Junqueira 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 250 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Enzo Acerbi	74	49	42	31	22	11	253
Felipe de Almeida Dias	78 1.1×	50 1.0×	55 1.3×	16 0.5×	5 0.2×	13	302
Diego C. Franco	63 0.9×	78 1.6×	95 2.3×	20 0.6×	18 0.8×	18	282
Christopher Moran	27 0.4×	84 1.7×	40 1.0×	12 0.4×	4 0.2×	15	247
T. Paine	53 0.7×	14 0.3×	65 1.5×	9 0.3×	22 1.0×	16	303
Scott M. Martin	13 0.2×	48 1.0×	36 0.9×	8 0.3×	12 0.5×	24	306
Thomas Lin Pedersen	11 0.1×	67 1.4×	66 1.6×	6 0.2×	15 0.7×	16	310
Katie A. Miller	45 0.6×	57 1.2×	46 1.1×	4 0.1×	5 0.2×	10	327
E. Kurt Lienau	22 0.3×	68 1.4×	61 1.5×	18 0.6×	11 0.5×	9	177
Katterinne N. Mendez	12 0.2×	56 1.1×	74 1.8×	18 0.6×	15 0.7×	12	193
Karen Rossmassler	37 0.5×	33 0.7×	44 1.0×	19 0.6×	4 0.2×	14	188

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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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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