Francesco Asnicar

44.5k total citations · 8 hit papers
61 papers, 4.8k citations indexed

About

Francesco Asnicar is a scholar working on Molecular Biology, Physiology and Food Science. According to data from OpenAlex, Francesco Asnicar has authored 61 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 9 papers in Physiology and 9 papers in Food Science. Recurrent topics in Francesco Asnicar's work include Gut microbiota and health (30 papers), Genomics and Phylogenetic Studies (14 papers) and Probiotics and Fermented Foods (8 papers). Francesco Asnicar is often cited by papers focused on Gut microbiota and health (30 papers), Genomics and Phylogenetic Studies (14 papers) and Probiotics and Fermented Foods (8 papers). Francesco Asnicar collaborates with scholars based in Italy, United States and United Kingdom. Francesco Asnicar's co-authors include Nicola Segata, Curtis Huttenhower, Moreno Zolfo, George Weingart, Francesco Beghini, Paolo Manghi, Edoardo Pasolli, Andrew Maltez Thomas, Adrian Tett and Matthias Scholz and has published in prestigious journals such as Nature, Cell and Nature Medicine.

In The Last Decade

Francesco Asnicar

56 papers receiving 4.8k citations

Hit Papers

Integrating taxonomic, functional, and... 2015 2026 2018 2022 2021 2019 2015 2020 2017 250 500 750 1000
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.

  1. Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3
    2021 1.2k citations Francesco Beghini, Lauren J. McIver et al. eLife profile →
  2. Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes from Metagenomes Spanning Age, Geography, and Lifestyle
    2019 916 citations Edoardo Pasolli, Francesco Asnicar et al. profile →
  3. Compact graphical representation of phylogenetic data and metadata with GraPhlAn
    2015 572 citations Francesco Asnicar, George Weingart et al. profile →
  4. 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 →
  5. Studying Vertical Microbiome Transmission from Mothers to Infants by Strain-Level Metagenomic Profiling
    2017 315 citations Francesco Asnicar, Serena Manara et al. mSystems profile →
  6. Machine learning for microbiologists
    2023 111 citations Francesco Asnicar, Andrew Maltez Thomas et al. Nature Reviews Microbiology profile →
  7. Effects of a personalized nutrition program on cardiometabolic health: a randomized controlled trial
    2024 49 citations Kate Bermingham, Francesco Asnicar et al. profile →
  8. Gut microbiome signatures of vegan, vegetarian and omnivore diets and associated health outcomes across 21,561 individuals
    2025 36 citations Gloria Fackelmann, Paolo Manghi et al. Nature Microbiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Asnicar Italy 22 3.4k 803 699 670 616 61 4.8k
Ilias Lagkouvardos Germany 33 2.7k 0.8× 770 1.0× 535 0.8× 552 0.8× 755 1.2× 71 4.4k
Will Van Treuren United States 18 3.0k 0.9× 800 1.0× 736 1.1× 548 0.8× 737 1.2× 20 5.0k
George Weingart United States 5 2.9k 0.8× 535 0.7× 528 0.8× 462 0.7× 696 1.1× 5 4.1k
Moreno Zolfo Italy 14 2.8k 0.8× 641 0.8× 582 0.8× 596 0.9× 412 0.7× 18 3.9k
Adrian Tett Italy 21 2.9k 0.8× 531 0.7× 604 0.9× 704 1.1× 500 0.8× 28 3.9k
Lauren J. McIver United States 15 2.9k 0.9× 450 0.6× 520 0.7× 422 0.6× 715 1.2× 32 4.2k
Melanie Schirmer Germany 16 3.8k 1.1× 1.5k 1.8× 577 0.8× 511 0.8× 505 0.8× 30 5.7k
Justin Kuczynski United States 18 4.0k 1.2× 1.3k 1.6× 786 1.1× 698 1.0× 855 1.4× 18 6.5k
Robert T. DeBoy United States 16 3.5k 1.0× 856 1.1× 616 0.9× 734 1.1× 701 1.1× 17 4.9k
Amnon Amir United States 29 4.1k 1.2× 1.2k 1.5× 786 1.1× 474 0.7× 751 1.2× 67 6.6k

Countries citing papers authored by Francesco Asnicar

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Asnicar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Asnicar

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

All Works

20 of 20 papers shown
1.
Pope, Richard S., Alessia Visconti, Xinyuan Zhang, et al.. (2025). Faecal metabolites as a readout of habitual diet capture dietary interactions with the gut microbiome. Nature Communications. 16(1). 10051–10051.
2.
Fackelmann, Gloria, Paolo Manghi, Niccolò Carlino, et al.. (2025). Gut microbiome signatures of vegan, vegetarian and omnivore diets and associated health outcomes across 21,561 individuals. Nature Microbiology. 10(1). 41–52. 36 indexed citations breakdown →
3.
Asnicar, Francesco, Paolo Manghi, Gloria Fackelmann, et al.. (2025). Gut micro-organisms associated with health, nutrition and dietary interventions. Nature. 650(8101). 450–458.
4.
Cobo‐Díaz, José F., Márcia Oliveira, Coral Barcenilla, et al.. (2025). Characterization of antimicrobial resistant Empedobacter from fresh meat and meat preparations. Current Research in Food Science. 11. 101212–101212.
5.
Ghensi, Paolo, Vitor Heidrich, Davide Bazzani, et al.. (2025). Shotgun Metagenomics Identifies in a Cross‐Sectional Setting Improved Plaque Microbiome Biomarkers for Peri‐Implant Diseases. Journal Of Clinical Periodontology. 52(7). 999–1010. 2 indexed citations
6.
Coleine, Claudia, Manuel Delgado‐Baquerizo, Alessandro Cestaro, et al.. (2024). Class-wide genomic tendency throughout specific extremes in black fungi. Fungal Diversity. 125(1). 121–138. 3 indexed citations
7.
Skírnisdóttir, Sigurlaug, Stephen Knobloch, José F. Cobo‐Díaz, et al.. (2024). Inter-facility characterization of bacteria in seafood processing plants: Exploring potential reservoirs of spoilage organisms and the resistome. Heliyon. 10(13). e33866–e33866. 3 indexed citations
8.
Bazzani, Davide, Vitor Heidrich, Paolo Manghi, et al.. (2024). Favorable subgingival plaque microbiome shifts are associated with clinical treatment for peri-implant diseases. npj Biofilms and Microbiomes. 10(1). 12–12. 4 indexed citations
9.
Wang, Kai, Wenjie Ma, Hang Dong, et al.. (2023). 1245 INTERPLAY BETWEEN COFFEE INTAKE AND THE GUT MICROBIOME IN RELATION TO HOST METABOLOME. Gastroenterology. 164(6). S–257.
10.
Selma‐Royo, Marta, Liviana Ricci, Davide Golzato, et al.. (2023). Draft Genome Sequence of Neopoerus faecalis gen. nov., sp. nov., an Oscillospiraceae Strain Isolated from Human Feces. Microbiology Resource Announcements. 12(7). 1 indexed citations
11.
Asnicar, Francesco, Andrew Maltez Thomas, Andrea Passerini, Levi Waldron, & Nicola Segata. (2023). Machine learning for microbiologists. Nature Reviews Microbiology. 22(4). 191–205. 111 indexed citations breakdown →
12.
Corsi, Giulia I., Anna Rosa Sannella, Paolo Vatta, et al.. (2022). Recent genetic exchanges and admixture shape the genome and population structure of the zoonotic pathogen Cryptosporidium parvum. Molecular Ecology. 32(10). 2633–2645. 12 indexed citations
13.
Beghini, Francesco, Lauren J. McIver, Aitor Blanco‐Míguez, et al.. (2021). Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3. eLife. 10. 1173 indexed citations breakdown →
14.
Menni, Cristina, Panayiotis Louca, Sarah Berry, et al.. (2021). High intake of vegetables is linked to lower white blood cell profile and the effect is mediated by the gut microbiome. BMC Medicine. 19(1). 37–37. 34 indexed citations
15.
Louca, Panayiotis, Ana Nogal, Philippa M. Wells, et al.. (2021). Gut microbiome diversity and composition is associated with hypertension in women. Journal of Hypertension. 39(9). 1810–1816. 31 indexed citations
16.
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 →
17.
Malacarne, Giulia, S. Pilati, Francesco Asnicar, et al.. (2018). Discovering Causal Relationships in Grapevine Expression Data to Expand Gene Networks. A Case Study: Four Networks Related to Climate Change. Frontiers in Plant Science. 9. 1385–1385. 8 indexed citations
18.
Asnicar, Francesco, Serena Manara, Moreno Zolfo, et al.. (2017). Studying Vertical Microbiome Transmission from Mothers to Infants by Strain-Level Metagenomic Profiling. mSystems. 2(1). 315 indexed citations breakdown →
19.
Tett, Adrian, Edoardo Pasolli, Duy Tin Truong, et al.. (2017). Unexplored diversity and strain-level structure of the skin microbiome associated with psoriasis. npj Biofilms and Microbiomes. 3(1). 14–14. 131 indexed citations
20.
Asnicar, Francesco, et al.. (2015). TN-Grid and gene@home project: volunteer computing for bioinformatics. Institutional Research Information System (Università degli Studi di Trento). 6 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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