Michela Perotti

1.7k total citations · 1 hit paper
9 papers, 876 citations indexed

About

Michela Perotti is a scholar working on Epidemiology, Biomedical Engineering and Genetics. According to data from OpenAlex, Michela Perotti has authored 9 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Biomedical Engineering and 2 papers in Genetics. Recurrent topics in Michela Perotti's work include Herpesvirus Infections and Treatments (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Biosensors and Analytical Detection (2 papers). Michela Perotti is often cited by papers focused on Herpesvirus Infections and Treatments (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Biosensors and Analytical Detection (2 papers). Michela Perotti collaborates with scholars based in Switzerland, Italy and Australia. Michela Perotti's co-authors include Laurent Perez, Federica Sallusto, Wenjie Jin, Daniel S. Leventhal, Roger Geiger, José M. Lora, Fernando P. Canale, Jean‐Philippe Theurillat, Ning Li and Anna Sokolovska and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michela Perotti

9 papers receiving 860 citations

Hit Papers

Metabolic modulation of tumours with engineered bacteria ... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michela Perotti Switzerland 8 292 208 182 176 157 9 876
Wilber Quispe‐Tintaya United States 14 356 1.2× 230 1.1× 449 2.5× 59 0.3× 96 0.6× 22 1.0k
Jens Puschhof Netherlands 14 451 1.5× 67 0.3× 54 0.3× 71 0.4× 103 0.7× 24 1.0k
Shin‐ichi Nakakita Japan 19 673 2.3× 52 0.3× 268 1.5× 105 0.6× 129 0.8× 53 966
Claudia Mongini Argentina 13 613 2.1× 75 0.4× 241 1.3× 53 0.3× 60 0.4× 32 975
Andrea Vera Spain 14 633 2.2× 130 0.6× 311 1.7× 186 1.1× 40 0.3× 32 1.1k
Maria D.F.S. Barbosa United States 16 453 1.6× 40 0.2× 342 1.9× 67 0.4× 85 0.5× 24 959
Ekaterina Revskaya United States 15 188 0.6× 42 0.2× 68 0.4× 72 0.4× 54 0.3× 27 610
Raj K. Kurupati United States 16 461 1.6× 59 0.3× 546 3.0× 247 1.4× 164 1.0× 30 1.2k
Cayetano Pleguezuelos‐Manzano Netherlands 10 364 1.2× 44 0.2× 33 0.2× 50 0.3× 81 0.5× 15 758
Michael Bauer Switzerland 16 344 1.2× 23 0.1× 168 0.9× 116 0.7× 65 0.4× 26 795

Countries citing papers authored by Michela Perotti

Since Specialization
Citations

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

Fields of papers citing papers by Michela Perotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Perotti

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

All Works

9 of 9 papers shown
1.
Low, Jun Siong, Federico Mele, Mathilde Foglierini, et al.. (2021). Clonal analysis of immunodominance and cross-reactivity of the CD4 T cell response to SARS-CoV-2. Science. 372(6548). 1336–1341. 85 indexed citations
2.
Canale, Fernando P., Camilla Basso, Michela Perotti, et al.. (2021). Metabolic modulation of tumours with engineered bacteria for immunotherapy. Nature. 598(7882). 662–666. 419 indexed citations breakdown →
3.
Romagnani, Andrea, Emilia Maria Cristina Mazza, Michele Proietti, et al.. (2020). P2X7 Receptor Activity Limits Accumulation of T Cells within Tumors. Cancer Research. 80(18). 3906–3919. 46 indexed citations
4.
Perotti, Michela, Jessica Marcandalli, Davide Demurtas, Federica Sallusto, & Laurent Perez. (2020). Rationally designed Human Cytomegalovirus gB nanoparticle vaccine with improved immunogenicity. PLoS Pathogens. 16(12). e1009169–e1009169. 17 indexed citations
5.
Perotti, Michela & Laurent Perez. (2019). Virus-Like Particles and Nanoparticles for Vaccine Development against HCMV. Viruses. 12(1). 35–35. 31 indexed citations
6.
Marcandalli, Jessica, Christine Huang, Christopher P. Arthur, et al.. (2018). An Unbiased Screen for Human Cytomegalovirus Identifies Neuropilin-2 as a Central Viral Receptor. Cell. 174(5). 1158–1171.e19. 168 indexed citations
7.
Romagnani, Andrea, Wiebke Nadolni, Michela Perotti, et al.. (2017). TRPM7 kinase activity is essential for T cell colonization and alloreactivity in the gut. Nature Communications. 8(1). 1917–1917. 72 indexed citations
8.
Gamberini, Luciano, Nicolà Corradi, Luca Q. Zamboni, et al.. (2011). Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology, Lisbon, Portugal, November 2011. 1 indexed citations
9.
Gamberini, Luciano, Nicolà Corradi, Luca Q. Zamboni, et al.. (2011). Saving is fun. Padua Research Archive (University of Padova). 1–7. 37 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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