Fabio Cumbo

5.6k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Fabio Cumbo is a scholar working on Molecular Biology, Food Science and Electrical and Electronic Engineering. According to data from OpenAlex, Fabio Cumbo has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 6 papers in Food Science and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Fabio Cumbo's work include Probiotics and Fermented Foods (6 papers), Bioinformatics and Genomic Networks (6 papers) and Gut microbiota and health (6 papers). Fabio Cumbo is often cited by papers focused on Probiotics and Fermented Foods (6 papers), Bioinformatics and Genomic Networks (6 papers) and Gut microbiota and health (6 papers). Fabio Cumbo collaborates with scholars based in Italy, United States and Russia. Fabio Cumbo's co-authors include Nicola Segata, Edoardo Pasolli, Francesco Asnicar, Serena Manara, Paolo Manghi, Moreno Zolfo, Francesco Beghini, Andrew Maltez Thomas, Jon G. Sanders and Qiyun Zhu and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Fabio Cumbo

25 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Precise phylogenetic analysis of microbial isolates and genomes from metagenomes using PhyloPhlAn 3.0

2020 472 citations Francesco Asnicar, Andrew Maltez Thomas et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabio Cumbo Italy	13	798	271	220	119	84	28	1.1k
Birte Abt Germany	8	660 0.8×	193 0.7×	171 0.8×	116 1.0×	77 0.9×	9	1.0k
Xiaoquan Su China	22	1.1k 1.3×	230 0.8×	309 1.4×	127 1.1×	62 0.7×	68	1.8k
Ekaterina Sakharova United Kingdom	5	979 1.2×	160 0.6×	290 1.3×	140 1.2×	37 0.4×	5	1.2k
Nicolai Karcher Italy	8	1.2k 1.5×	244 0.9×	316 1.4×	241 2.0×	70 0.8×	10	1.4k
Hua Li China	23	663 0.8×	191 0.7×	161 0.7×	102 0.9×	144 1.7×	119	1.6k
Martín Beracochea Uruguay	10	1.0k 1.3×	165 0.6×	308 1.4×	139 1.2×	40 0.5×	15	1.4k
Blessing O. Anonye United Kingdom	5	987 1.2×	304 1.1×	188 0.9×	345 2.9×	66 0.8×	7	1.2k
Linhuan Wu China	16	556 0.7×	299 1.1×	197 0.9×	129 1.1×	45 0.5×	48	977
Sergej Andrejev Germany	9	1.2k 1.6×	316 1.2×	378 1.7×	97 0.8×	85 1.0×	11	1.8k
Tamara Aleksandrzak‐Piekarczyk Poland	18	490 0.6×	518 1.9×	207 0.9×	67 0.6×	153 1.8×	53	959

Countries citing papers authored by Fabio Cumbo

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Cumbo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Cumbo

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

All Works

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20 of 20 papers shown

Cumbo, Fabio, et al.. (2025). Feature selection with vector-symbolic architectures: a case study on microbial profiles of shotgun metagenomic samples of colorectal cancer. Briefings in Bioinformatics. 26(2).

Raubenolt, Bryan, et al.. (2024). A Perspective on Protein Structure Prediction Using Quantum Computers. Journal of Chemical Theory and Computation. 20(9). 3359–3378. 21 indexed citations

Khan, Debjit, Iyappan Ramachandiran, K.I. Vasu, et al.. (2024). Homozygous EPRS1 missense variant causing hypomyelinating leukodystrophy-15 alters variant-distal mRNA m6A site accessibility. Nature Communications. 15(1). 4284–4284. 2 indexed citations

Taglino, Francesco, Fabio Cumbo, Ivan Arisi, et al.. (2023). An ontology-based approach for modelling and querying Alzheimer’s disease data. BMC Medical Informatics and Decision Making. 23(1). 153–153. 2 indexed citations

Cumbo, Fabio, Emanuel Weitschek, & Daniel Blankenberg. (2023). hdlib: A Python library for designing Vector-SymbolicArchitectures. The Journal of Open Source Software. 8(89). 5704–5704. 2 indexed citations

Valles‐Colomer, Mireia, Paolo Manghi, Fabio Cumbo, et al.. (2023). Neuroblastoma is associated with alterations in gut microbiome composition subsequent to maternal microbial seeding. EBioMedicine. 99. 104917–104917. 10 indexed citations

Lee, Kihyun, Sébastien Raguideau, Kimmo Sirén, et al.. (2023). Population-level impacts of antibiotic usage on the human gut microbiome. Nature Communications. 14(1). 1191–1191. 61 indexed citations

Manara, Serena, Marta Selma‐Royo, Kun D. Huang, et al.. (2023). Maternal and food microbial sources shape the infant microbiome of a rural Ethiopian population. Current Biology. 33(10). 1939–1950.e4. 16 indexed citations

Chicco, Davide, Fabio Cumbo, & Claudio Angione. (2023). Ten quick tips for avoiding pitfalls in multi-omics data integration analyses. PLoS Computational Biology. 19(7). e1011224–e1011224. 18 indexed citations

10.

Tomasi, Michele, Francesco Beghini, Ilaria Zanella, et al.. (2021). Commensal Bifidobacterium Strains Enhance the Efficacy of Neo-Epitope Based Cancer Vaccines. Vaccines. 9(11). 1356–1356. 14 indexed citations

11.

Karcher, Nicolai, Michal Punčochář, Aitor Blanco‐Míguez, et al.. (2021). Genomic diversity and ecology of human-associated Akkermansia species in the gut microbiome revealed by extensive metagenomic assembly. Genome biology. 22(1). 209–209. 102 indexed citations

12.

Cumbo, Fabio, et al.. (2021). [The AMINAVI database: knowing the presence of asbestos on board ships, in the past and in the present].. PubMed. 44(2-3). 107–108.

13.

Pasolli, Edoardo, Francesca De Filippis, Fabio Cumbo, et al.. (2020). Large-scale genome-wide analysis links lactic acid bacteria from food with the gut microbiome. Nature Communications. 11(1). 2610–2610. 221 indexed citations

14.

Asnicar, Francesco, Andrew Maltez Thomas, Francesco Beghini, et al.. (2020). Precise phylogenetic analysis of microbial isolates and genomes from metagenomes using PhyloPhlAn 3.0. Nature Communications. 11(1). 2500–2500. 472 indexed citations breakdown →

15.

Manara, Serena, Francesco Asnicar, Francesco Beghini, et al.. (2019). Microbial genomes from non-human primate gut metagenomes expand the primate-associated bacterial tree of life with over 1000 novel species. Genome biology. 20(1). 299–299. 56 indexed citations

16.

Cremona, Marzia A., Alessia Pini, Fabio Cumbo, et al.. (2018). IWTomics: testing high-resolution sequence-based ‘Omics’ data at multiple locations and scales. Bioinformatics. 34(13). 2289–2291. 8 indexed citations

17.

Cumbo, Fabio, Giulia Fiscon, Stefano Ceri, Marco Masseroli, & Emanuel Weitschek. (2017). TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome Atlas. BMC Bioinformatics. 18(1). 6–6. 22 indexed citations

18.

Weitschek, Emanuel, et al.. (2016). Genomic Data Integration: A Case Study on Next Generation Sequencing of Cancer. 49–53. 3 indexed citations

19.

Arisi, Ivan, Mara D’Onofrio, Rossella Brandi, et al.. (2015). Time dynamics of protein complexes in the AD11 transgenic mouse model for Alzheimer’s disease like pathology. BMC Neuroscience. 16(1). 28–28. 3 indexed citations

20.

Cumbo, Fabio, Paola Paci, Daniele Santoni, Luisa Di Paola, & Alessandro Giuliani. (2014). GIANT: A Cytoscape Plugin for Modular Networks. PLoS ONE. 9(10). e105001–e105001. 35 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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