Matteo Villa

3.2k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Matteo Villa is a scholar working on Molecular Biology, Immunology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Matteo Villa has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Matteo Villa's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers) and Pancreatic function and diabetes (3 papers). Matteo Villa is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers) and Pancreatic function and diabetes (3 papers). Matteo Villa collaborates with scholars based in Germany, Italy and United Kingdom. Matteo Villa's co-authors include Brigitta Stockinger, Oliver M. Steinmetz, Keiji Hirota, Jan‐Eric Turner, Jocelyne Demengeot, João H. Duarte, Erika L. Pearce, Daniel J. Puleston, Edward J. Pearce and Thomas Blank and has published in prestigious journals such as Nature Communications, The EMBO Journal and Immunity.

In The Last Decade

Matteo Villa

16 papers receiving 1.2k citations

Hit Papers

Microbiota-derived acetate enables the metabolic fitness ... 2021 2026 2022 2024 2021 100 200 300

Peers

Matteo Villa
Comparison fields: 5 of 101
  • Immunology 564
  • Molecular Biology 487
  • Physiology 185
  • Biological Psychiatry 157
  • Neurology 108
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Reinhard Hinterleitner United States
Chang-Won Hong South Korea
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Zakeya Al Rasbi United Arab Emirates View profile →
Citations per field, relative to Matteo Villa
Matteo Villa · 1×
Citations per year, relative to Matteo Villa
Matteo Villa · 1×

Countries citing papers authored by Matteo Villa

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Villa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Villa

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 26
3
Microbiota-derived acetate enables the metabolic fitness of the brain innate immune system during health and disease breakdown →
319
4 46
5 4
6 5
7 13
8 0
9 6
10 5
11 14
12 137
13 57
14 95
15 74
16 21
17 391
18 10

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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