Edoardo Pasolli

20.9k total citations · 7 hit papers
80 papers, 6.5k citations indexed

About

Edoardo Pasolli is a scholar working on Molecular Biology, Media Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Edoardo Pasolli has authored 80 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 21 papers in Media Technology and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Edoardo Pasolli's work include Gut microbiota and health (28 papers), Remote-Sensing Image Classification (21 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Edoardo Pasolli is often cited by papers focused on Gut microbiota and health (28 papers), Remote-Sensing Image Classification (21 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Edoardo Pasolli collaborates with scholars based in Italy, United States and Russia. Edoardo Pasolli's co-authors include Nicola Segata, Adrian Tett, Danilo Ercolini, Farid Melgani, Duy Tin Truong, Francesca De Filippis, Curtis Huttenhower, Francesco Asnicar, Moreno Zolfo and Francesco Beghini and has published in prestigious journals such as Cell, Nature Communications and Gastroenterology.

In The Last Decade

Edoardo Pasolli

78 papers receiving 6.4k citations

Hit Papers

Extensive Unexplored Human Microbiome Diversity Revealed ... 2016 2026 2019 2022 2019 2017 2020 2021 2020 250 500 750
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. 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. Cell profile →
  2. Microbial strain-level population structure and genetic diversity from metagenomes
    2017 488 citations Duy Tin Truong, Adrian Tett et al. profile →
  3. 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 →
  4. Prevotella diversity, niches and interactions with the human host
    2021 460 citations Adrian Tett, Edoardo Pasolli et al. profile →
  5. Mediterranean diet intervention in overweight and obese subjects lowers plasma cholesterol and causes changes in the gut microbiome and metabolome independently of energy intake
    2020 400 citations Victoria Meslier, Manolo Laiola et al. Gut profile →
  6. Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights
    2016 384 citations Edoardo Pasolli, Duy Tin Truong et al. profile →
  7. Machine Learning and Artificial Intelligence in the Multi-Omics Approach to Gut Microbiota
    2025 20 citations Edoardo Pasolli, Nicola Segata et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edoardo Pasolli Italy 35 3.8k 1.0k 896 780 748 80 6.5k
Matthias Scholz Italy 27 2.8k 0.7× 637 0.6× 353 0.4× 617 0.8× 482 0.6× 46 5.4k
Luís Pedro Coelho Germany 30 3.4k 0.9× 491 0.5× 1.2k 1.3× 388 0.5× 480 0.6× 53 5.4k
Rick Stevens United States 37 7.1k 1.9× 1.1k 1.0× 4.0k 4.5× 158 0.2× 731 1.0× 160 13.1k
Frans van den Berg Denmark 38 3.5k 0.9× 1.9k 1.8× 334 0.4× 1.1k 1.4× 476 0.6× 139 8.9k
Shifu Chen China 22 8.2k 2.2× 846 0.8× 2.8k 3.1× 525 0.7× 990 1.3× 146 17.7k
Yijun Sun United States 38 2.1k 0.6× 131 0.1× 361 0.4× 447 0.6× 218 0.3× 159 5.9k
Paul J. Scott United Kingdom 35 1.7k 0.4× 366 0.4× 150 0.2× 594 0.8× 499 0.7× 229 5.9k
Jia Gu China 14 7.7k 2.0× 805 0.8× 2.7k 3.0× 505 0.6× 973 1.3× 42 15.9k
Dacheng Wang China 32 3.2k 0.8× 109 0.1× 332 0.4× 267 0.3× 207 0.3× 189 6.5k
Georg K. Gerber United States 29 3.3k 0.9× 410 0.4× 444 0.5× 739 0.9× 769 1.0× 56 5.3k

Countries citing papers authored by Edoardo Pasolli

Since Specialization
Citations

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

Fields of papers citing papers by Edoardo Pasolli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edoardo Pasolli

This figure shows the co-authorship network connecting the top 25 collaborators of Edoardo Pasolli. A scholar is included among the top collaborators of Edoardo Pasolli 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 Edoardo Pasolli. Edoardo Pasolli 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.
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
2.
Pasolli, Edoardo & Danilo Ercolini. (2025). The hidden diversity of food microbiomes. Current Opinion in Food Science. 64. 101318–101318. 1 indexed citations
3.
Ventorino, Valeria, et al.. (2025). From microbiome to biostimulants: unlocking the potential of tomato root endophytes. BMC Plant Biology. 25(1). 427–427. 1 indexed citations
4.
Sculco, Marika, G. Sala, Elettra Barberis, et al.. (2025). Gut microbiota and metabolome signatures in obese and normal-weight patients with colorectal tumors. iScience. 28(4). 112221–112221. 1 indexed citations
5.
Filippis, Francesca De, Vincenzo Valentino, Min Yap, et al.. (2024). Microbiome mapping in dairy industry reveals new species and genes for probiotic and bioprotective activities. npj Biofilms and Microbiomes. 10(1). 67–67. 5 indexed citations
6.
Pasolli, Edoardo, et al.. (2024). Refining dual RNA-seq mapping: sequential and combined approaches in host-parasitic plant dynamics. Frontiers in Plant Science. 15. 1483717–1483717.
7.
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
8.
Filippis, Francesca De, Vincenzo Valentino, Giuseppina Sequino, et al.. (2024). Exposure to environmental pollutants selects for xenobiotic-degrading functions in the human gut microbiome. Nature Communications. 15(1). 4482–4482. 30 indexed citations
9.
Pasolli, Edoardo, et al.. (2024). Transcriptomic analysis reveals differential gene expression patterns of Lacticaseibacillus casei ATCC 393 in response to ultrasound stress. Ultrasonics Sonochemistry. 107. 106939–106939. 4 indexed citations
10.
Favero, Francesco, Elettra Barberis, Mara Gagliardi, et al.. (2022). A Metabologenomic approach reveals alterations in the gut microbiota of a mouse model of Alzheimer’s disease. PLoS ONE. 17(8). e0273036–e0273036. 12 indexed citations
11.
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
12.
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 →
13.
Bolognesi, Salvatore Falanga, Edoardo Pasolli, Oscar Rosario Belfiore, Carlo De Michele, & Guido D’Urso. (2020). Harmonized Landsat 8 and Sentinel-2 Time Series Data to Detect Irrigated Areas: An Application in Southern Italy. Remote Sensing. 12(8). 1275–1275. 17 indexed citations
14.
Meslier, Victoria, Manolo Laiola, Henrik M. Roager, et al.. (2020). Mediterranean diet intervention in overweight and obese subjects lowers plasma cholesterol and causes changes in the gut microbiome and metabolome independently of energy intake. Gut. 69(7). 1258–1268. 400 indexed citations breakdown →
15.
Filippis, Francesca De, Edoardo Pasolli, & Danilo Ercolini. (2020). Newly Explored Faecalibacterium Diversity Is Connected to Age, Lifestyle, Geography, and Disease. Current Biology. 30(24). 4932–4943.e4. 99 indexed citations
16.
Zhang, Zhou, Edoardo Pasolli, & Melba M. Crawford. (2019). An Adaptive Multiview Active Learning Approach for Spectral–Spatial Classification of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 58(4). 2557–2570. 34 indexed citations
17.
Esposito, Alfonso, Irene Bianconi, Edoardo Pasolli, et al.. (2019). Genomic and metagenomic insights into the microbial community of a thermal spring. Microbiome. 7(1). 8–8. 45 indexed citations
18.
Pasolli, Edoardo, Francesco Asnicar, Serena Manara, et al.. (2019). Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes from Metagenomes Spanning Age, Geography, and Lifestyle. Cell. 176(3). 649–662.e20. 916 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.
Zhang, Zhou, Edoardo Pasolli, H. Lexie Yang, & Melba M. Crawford. (2016). Multimetric Active Learning for Classification of Remote Sensing Data. IEEE Geoscience and Remote Sensing Letters. 13(7). 1007–1011. 11 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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