Matteo Pecoraro

2.0k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Matteo Pecoraro is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Matteo Pecoraro has authored 15 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 Cancer Research. Recurrent topics in Matteo Pecoraro's work include Immune Cell Function and Interaction (4 papers), Prostate Cancer Treatment and Research (4 papers) and RNA Research and Splicing (3 papers). Matteo Pecoraro is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Prostate Cancer Treatment and Research (4 papers) and RNA Research and Splicing (3 papers). Matteo Pecoraro collaborates with scholars based in Switzerland, Germany and Spain. Matteo Pecoraro's co-authors include William M. Keyes, Alexandre Robert‐Moreno, Valeria Di Giacomo, Noam Pilpel, Valery Krizhanovsky, James Sharpe, Reut Yosef, Mekayla A. Storer, Grigori Enikolopov and Xuecui Guo and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Matteo Pecoraro

13 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Senescence Is a Developmental Mechanism that Contributes to Embryonic Growth and Patterning

2013 884 citations Mekayla A. Storer, Alexandre Robert‐Moreno et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matteo Pecoraro Switzerland	8	642	627	267	182	166	15	1.2k
Jean-Philippe Coppé United States	6	582 0.9×	559 0.9×	237 0.9×	189 1.0×	155 0.9×	7	1.1k
Jeff S. Pawlikowski United States	12	600 0.9×	419 0.7×	251 0.9×	204 1.1×	119 0.7×	16	1.1k
Tristan V. de Jong Netherlands	9	561 0.9×	415 0.7×	183 0.7×	111 0.6×	180 1.1×	10	1.0k
Shauna L Houlihan United States	5	392 0.6×	330 0.5×	248 0.9×	189 1.0×	97 0.6×	6	910
Peter Krasnov United States	13	452 0.7×	428 0.7×	334 1.3×	181 1.0×	250 1.5×	14	1.2k
Valeria Di Giacomo Italy	4	470 0.7×	613 1.0×	226 0.8×	63 0.3×	115 0.7×	7	903
Cristina Pantoja Spain	11	1.0k 1.6×	477 0.8×	154 0.6×	293 1.6×	156 0.9×	18	1.4k
Oanh Lê Canada	14	373 0.6×	440 0.7×	205 0.8×	116 0.6×	71 0.4×	25	975
Lluc Mosteiro Spain	8	825 1.3×	398 0.6×	128 0.5×	98 0.5×	95 0.6×	11	1.1k
Sigrun Ressler Austria	11	305 0.5×	282 0.4×	122 0.5×	200 1.1×	144 0.9×	19	798

Countries citing papers authored by Matteo Pecoraro

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Pecoraro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Pecoraro

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

All Works

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15 of 15 papers shown

Polletti, Sara, Matteo Pecoraro, Antonino Cassotta, et al.. (2025). FCRL3 is an immunoregulatory receptor that restrains the activation of human memory T lymphocytes. The Journal of Experimental Medicine. 223(1).

Sgrignani, Jacopo, Marco Coazzoli, Daniela Bossi, et al.. (2025). Targeting FOXA1 and FOXA2 disrupts the lineage-specific oncogenic output program in prostate cancer. Cell Reports. 44(10). 116324–116324.

Shinde, Dheeraj, Domenico Albino, Gianluca Civenni, et al.. (2024). Epigenome-wide impact of MAT2A sustains the androgen-indifferent state and confers synthetic vulnerability in ERG fusion-positive prostate cancer. Nature Communications. 15(1). 6672–6672. 3 indexed citations

Tosolini, Marie, Jean‐Jacques Fournié, Roger Geiger, et al.. (2024). Inhibition of choline metabolism in an angioimmunoblastic T-cell lymphoma preclinical model reveals a new metabolic vulnerability as possible target for treatment. Journal of Experimental & Clinical Cancer Research. 43(1). 43–43. 8 indexed citations

Pecoraro, Matteo, et al.. (2024). Tumor cells express and maintain HMGB1 in the reduced isoform to enhance CXCR4-mediated migration. Frontiers in Immunology. 15. 1358800–1358800. 3 indexed citations

Leoni, Cristina, et al.. (2024). Crosstalk between Regnase-1 and -3 shapes mast cell survival and cytokine expression. Life Science Alliance. 7(8). e202402784–e202402784. 3 indexed citations

Khameneh, Hanif Javanmard, Ivo Kwee, Andrea Rinaldi, et al.. (2023). Myc controls NK cell development, IL-15-driven expansion, and translational machinery. Life Science Alliance. 6(7). e202302069–e202302069. 10 indexed citations

Lisi, Veronica, Matteo Pecoraro, Sara Bolis, et al.. (2023). Plasma-derived extracellular vesicles released after endurance exercise exert cardioprotective activity through the activation of antioxidant pathways. Redox Biology. 63. 102737–102737. 29 indexed citations

Caballero-Oteyza, Andrés, Michele Proietti, Baerbel Keller, et al.. (2022). Multi-omics analysis of naïve B cells of patients harboring the C104R mutation in TACI. Frontiers in Immunology. 13. 938240–938240. 5 indexed citations

10.

Pecoraro, Matteo, Heidi A. Neubauer, Karolína Trachtová, et al.. (2021). Proteomic Analysis Identifies NDUFS1 and ATP5O as Novel Markers for Survival Outcome in Prostate Cancer. Cancers. 13(23). 6036–6036. 4 indexed citations

11.

Trentini, Débora Broch, Matteo Pecoraro, Shivani Tiwary, et al.. (2020). Role for ribosome-associated quality control in sampling proteins for MHC class I-mediated antigen presentation. Proceedings of the National Academy of Sciences. 117(8). 4099–4108. 28 indexed citations

12.

Audehm, Stefan, Matteo Pecoraro, Eva Bräunlein, et al.. (2019). Key Features Relevant to Select Antigens and TCR From the MHC-Mismatched Repertoire to Treat Cancer. Frontiers in Immunology. 10. 1485–1485. 7 indexed citations

13.

Giacomo, Viviana di, Tian V. Tian, Matteo Pecoraro, et al.. (2017). ΔNp63α promotes adhesion of metastatic prostate cancer cells to the bone through regulation of CD82. Oncogene. 36(31). 4381–4392. 17 indexed citations

14.

Storer, Mekayla A., Alexandre Robert‐Moreno, Matteo Pecoraro, et al.. (2013). Senescence Is a Developmental Mechanism that Contributes to Embryonic Growth and Patterning. Cell. 155(5). 1119–1130. 884 indexed citations breakdown →

15.

Keyes, William M., Matteo Pecoraro, Victoria Aranda, et al.. (2011). ΔNp63α Is an Oncogene that Targets Chromatin Remodeler Lsh to Drive Skin Stem Cell Proliferation and Tumorigenesis. Cell stem cell. 8(2). 164–176. 159 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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