Aitor Blanco‐Míguez

8.1k total citations · 2 hit papers
32 papers, 2.5k citations indexed

About

Aitor Blanco‐Míguez is a scholar working on Molecular Biology, Food Science and Infectious Diseases. According to data from OpenAlex, Aitor Blanco‐Míguez has authored 32 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Food Science and 6 papers in Infectious Diseases. Recurrent topics in Aitor Blanco‐Míguez's work include Gut microbiota and health (17 papers), Probiotics and Fermented Foods (13 papers) and Genomics and Phylogenetic Studies (7 papers). Aitor Blanco‐Míguez is often cited by papers focused on Gut microbiota and health (17 papers), Probiotics and Fermented Foods (13 papers) and Genomics and Phylogenetic Studies (7 papers). Aitor Blanco‐Míguez collaborates with scholars based in Spain, Portugal and Italy. Aitor Blanco‐Míguez's co-authors include Borja Sánchez, Anália Lourenço, Abelardo Margollés, Susana Delgado, Miguel Gueimonde, Nicola Segata, Mireia Valles‐Colomer, Francesco Asnicar, Paolo Manghi and Moreno Zolfo and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Aitor Blanco‐Míguez

31 papers receiving 2.5k citations

Hit Papers

Integrating taxonomic, functional, and stra... 2016 2026 2019 2022 2021 2016 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aitor Blanco‐Míguez Spain 12 1.8k 620 398 375 275 32 2.5k
Doris Vandeputte Belgium 12 1.9k 1.1× 400 0.6× 682 1.7× 426 1.1× 311 1.1× 20 2.6k
Yong Su China 30 1.7k 0.9× 667 1.1× 368 0.9× 468 1.2× 355 1.3× 133 2.8k
Veera Kainulainen Finland 15 1.7k 1.0× 627 1.0× 421 1.1× 480 1.3× 303 1.1× 24 2.4k
Franziska Faber Germany 17 1.9k 1.0× 704 1.1× 401 1.0× 768 2.0× 217 0.8× 31 2.6k
Wenjing Zhao China 28 1.8k 1.0× 577 0.9× 205 0.5× 426 1.1× 238 0.9× 90 3.0k
Till Robin Lesker Germany 16 1.6k 0.9× 363 0.6× 340 0.9× 448 1.2× 186 0.7× 27 2.5k
Wayne Young New Zealand 27 1.3k 0.7× 414 0.7× 468 1.2× 420 1.1× 402 1.5× 106 2.3k
Fabian Rivera-Chávez United States 12 1.8k 1.0× 746 1.2× 407 1.0× 764 2.0× 244 0.9× 17 2.6k
Patrick Veiga France 18 1.6k 0.9× 682 1.1× 470 1.2× 307 0.8× 291 1.1× 27 2.2k
Joseph M. Pickard United States 13 1.6k 0.9× 440 0.7× 266 0.7× 619 1.7× 250 0.9× 15 2.4k

Countries citing papers authored by Aitor Blanco‐Míguez

Since Specialization
Citations

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

Fields of papers citing papers by Aitor Blanco‐Míguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aitor Blanco‐Míguez. 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 Aitor Blanco‐Míguez. The network helps show where Aitor Blanco‐Míguez may publish in the future.

Co-authorship network of co-authors of Aitor Blanco‐Míguez

This figure shows the co-authorship network connecting the top 25 collaborators of Aitor Blanco‐Míguez. A scholar is included among the top collaborators of Aitor Blanco‐Míguez 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 Aitor Blanco‐Míguez. Aitor Blanco‐Míguez 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.
Andreu‐Sánchez, Sergio, Aitor Blanco‐Míguez, Daoming Wang, et al.. (2025). Global genetic diversity of human gut microbiome species is related to geographic location and host health. Cell. 188(15). 3942–3959.e9. 9 indexed citations
2.
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
3.
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
4.
Blanco‐Míguez, Aitor, et al.. (2023). Towards the isolation of more robust next generation probiotics: The first aerotolerant Bifidobacterium bifidum strain. Food Research International. 165. 112481–112481. 5 indexed citations
5.
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
6.
Blanco‐Míguez, Aitor, Lucía Guadamuro, Florentino Fdez‐Riverola, et al.. (2023). Targeted depletion of pks + bacteria from a fecal microbiota using specific antibodies. mSystems. 8(3). e0007923–e0007923. 4 indexed citations
7.
Signorini, Lorenzo, Aitor Blanco‐Míguez, Moreno Zolfo, et al.. (2022). Automated identification of sequence-tailored Cas9 proteins using massive metagenomic data. Nature Communications. 13(1). 6474–6474. 11 indexed citations
8.
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 →
9.
Ruíz, Lorena, et al.. (2021). Precision modification of the human gut microbiota targeting surface-associated proteins. Scientific Reports. 11(1). 1270–1270. 8 indexed citations
10.
Blanco‐Míguez, Aitor, Hector Tamés, Patricia Ruas‐Madiedo, & Borja Sánchez. (2021). Microbiota-Derived β-Amyloid-like Peptides Trigger Alzheimer’s Disease-Related Pathways in the SH-SY5Y Neural Cell Line. Nutrients. 13(11). 3868–3868. 4 indexed citations
11.
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
12.
Blanco‐Míguez, Aitor, et al.. (2019). Computational prediction of the bioactivity potential of proteomes based on expert knowledge. Journal of Biomedical Informatics. 91. 103121–103121. 1 indexed citations
13.
Pérez‐Pérez, Martín, Gael Pérez‐Rodríguez, Aitor Blanco‐Míguez, et al.. (2019). Next generation community assessment of biomedical entity recognition web servers: metrics, performance, interoperability aspects of BeCalm. Journal of Cheminformatics. 11(1). 42–42. 2 indexed citations
14.
Blanco‐Míguez, Aitor, Florentino Fdez‐Riverola, Anália Lourenço, & Borja Sánchez. (2019). In silico prediction reveals the existence of potential bioactive neuropeptides produced by the human gut microbiota. Food Research International. 119. 221–226. 10 indexed citations
15.
Blanco‐Míguez, Aitor, Florentino Fdez‐Riverola, Borja Sánchez, & Anália Lourenço. (2018). BlasterJS: A novel interactive JavaScript visualisation component for BLAST alignment results. PLoS ONE. 13(10). e0205286–e0205286. 19 indexed citations
16.
Blanco‐Míguez, Aitor, Florentino Fdez‐Riverola, Anália Lourenço, & Borja Sánchez. (2017). P4P: a peptidome-based strain-level genome comparison web tool. Nucleic Acids Research. 45(W1). W265–W269. 1 indexed citations
17.
Ruíz, Lorena, Claudio Hidalgo-Cantabrana, Aitor Blanco‐Míguez, et al.. (2016). Tackling probiotic and gut microbiota functionality through proteomics. Journal of Proteomics. 147. 28–39. 41 indexed citations
18.
Blanco‐Míguez, Aitor, et al.. (2016). MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota. Database. 2017. baw157–baw157. 26 indexed citations
19.
Blanco‐Míguez, Aitor, Jan P. Meier‐Kolthoff, Markus Göker, et al.. (2016). Improving Phylogeny Reconstruction at the Strain Level Using Peptidome Datasets. PLoS Computational Biology. 12(12). e1005271–e1005271. 4 indexed citations
20.
Blanco‐Míguez, Aitor, et al.. (2016). A peptidome-based phylogeny pipeline reveals differential peptides at the strain level within Bifidobacterium animalis subsp. lactis. Food Microbiology. 60. 137–141. 5 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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