Edoardo Pasolli

78 papers receiving 6.4k citations

Edoardo Pasolli's Hit Papers

Machine Learning and Artificial Intelligence in the Multi-Omics Approach to Gut Microbiota 2025 · 20 citations
200+3+6Years since publication250500750

Peers

Edoardo Pasolli
Comparison fields: 5 of 179
  • Media Technology 620
  • Food Science 1.0k
  • Molecular Biology 3.8k
  • Periodontics 226
  • Biological Psychiatry 110
Replace Luís Pedro Coelho with:
Luís Pedro Coelho Germany
Matthias Scholz Italy
Rick Stevens United States
Frans van den Berg Denmark
Yijun Sun United States
Shifu Chen China
Zhiwei Fang China
Jia Gu China
Paul J. Scott United Kingdom
Fen Hu China
Edoardo Pasolli relative to Luís Pedro Coelho Germany Luís Pedro Coelho's profile →
Citations per field
00.5×6.0×
Luís Pedro Coelho · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Edoardo Pasolli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Edoardo Pasolli Line = papers co-authored together Edoardo Pasolli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes from Metagenomes Spanning Age, Geography, and Lifestyle
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2019916
2
Microbial strain-level population structure and genetic diversity from metagenomes
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2017488
3
Precise phylogenetic analysis of microbial isolates and genomes from metagenomes using PhyloPhlAn 3.0
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2020472
4
Prevotella diversity, niches and interactions with the human host
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2021460
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
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2020400
6
Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights
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2016384
7 2019256
8 2016247
9 2020221
10 2020191
11 2009189
12 2011151
13 2017139
14 2017131
15 2009130
16 2021127
17 2013123
18 202099
19 202088
20 201776

About Edoardo Pasolli

Edoardo Pasolli is a scholar working on Molecular Biology, Media Technology, Computer Vision and Pattern Recognition, Food Science and Artificial Intelligence, having authored 80 papers that have together received 6.5k indexed citations. Recurring topics across this work include Gut microbiota and health (28 papers), Remote-Sensing Image Classification (21 papers), Advanced Image and Video Retrieval Techniques (16 papers), Probiotics and Fermented Foods (14 papers), Genomics and Phylogenetic Studies (12 papers), Image Retrieval and Classification Techniques (8 papers), Machine Learning and Algorithms (7 papers) and Clostridium difficile and Clostridium perfringens research (5 papers). The work is most often cited by research in Media Technology (620 citations), Food Science (1.0k citations), Molecular Biology (3.8k citations), Periodontics (226 citations) and Biological Psychiatry (110 citations). Edoardo Pasolli has collaborated with scholars based in Italy, United States and Russia. Frequent 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. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Nature Communications, npj Biofilms and Microbiomes and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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