Federica Marchesi

15.5k total citations · 5 hit papers
79 papers, 11.7k citations indexed

About

Federica Marchesi is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Federica Marchesi has authored 79 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Oncology, 47 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Federica Marchesi's work include Immune cells in cancer (27 papers), Cancer Immunotherapy and Biomarkers (24 papers) and Chemokine receptors and signaling (16 papers). Federica Marchesi is often cited by papers focused on Immune cells in cancer (27 papers), Cancer Immunotherapy and Biomarkers (24 papers) and Chemokine receptors and signaling (16 papers). Federica Marchesi collaborates with scholars based in Italy, United Kingdom and United States. Federica Marchesi's co-authors include Paola Allavena, Alberto Mantovani, Luigi Laghi, Alberto Malesci, Amalio Telenti, Thomas Bodmer, Cecília Garlanda, Frank Bally, Erik C. Böttger and Lorenzo Piemonti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Federica Marchesi

79 papers receiving 11.4k citations

Hit Papers

Tumour-associated macr... 1993 2026 2004 2015 2017 1993 2022 1993 2005 500 1000 1.5k 2.0k 2.5k
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.

  1. Tumour-associated macrophages as treatment targets in oncology
    2017 2.9k citations Alberto Mantovani, Federica Marchesi et al. profile →
  2. Rapid identification of mycobacteria to the species level by polymerase chain reaction and restriction enzyme analysis
    1993 1.2k citations Federica Marchesi et al. profile →
  3. Macrophages as tools and targets in cancer therapy
    2022 1.1k citations Alberto Mantovani, Paola Allavena et al. Nature Reviews Drug Discovery profile →
  4. Detection of rifampicin-resistance mutations in Mycobacterium tuberculosis
    1993 1.0k citations Federica Marchesi et al. profile →
  5. Bone marrow mesenchymal stem cells express a restricted set of functionally active chemokine receptors capable of promoting migration to pancreatic islets
    2005 481 citations Maria Luisa Malosio, Federica Marchesi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federica Marchesi Italy 39 5.2k 4.3k 3.1k 2.7k 1.9k 79 11.7k
Michael D. Gunn United States 49 7.0k 1.4× 2.9k 0.7× 2.7k 0.9× 968 0.4× 373 0.2× 102 11.2k
Terrill K. McClanahan United States 49 17.5k 3.4× 7.3k 1.7× 4.3k 1.4× 1.8k 0.7× 738 0.4× 82 25.1k
Giovanna Tosato United States 74 5.9k 1.1× 8.0k 1.9× 4.1k 1.3× 2.7k 1.0× 1.6k 0.8× 242 15.8k
Vassiliki A. Boussiotis United States 61 9.5k 1.8× 5.5k 1.3× 3.8k 1.2× 1.1k 0.4× 519 0.3× 182 15.6k
Emma E. Furth United States 59 1.7k 0.3× 3.9k 0.9× 5.8k 1.9× 2.9k 1.1× 488 0.3× 253 15.1k
William Vermi Italy 54 8.5k 1.6× 3.4k 0.8× 2.2k 0.7× 999 0.4× 353 0.2× 157 12.3k
Ivan D. Horak United States 62 5.7k 1.1× 3.9k 0.9× 4.8k 1.6× 1.1k 0.4× 442 0.2× 205 14.0k
Roland Rad Germany 41 2.8k 0.5× 1.4k 0.3× 3.4k 1.1× 485 0.2× 485 0.3× 136 7.6k
Augusto C. Ochoa United States 52 10.4k 2.0× 4.9k 1.2× 3.2k 1.0× 948 0.4× 350 0.2× 127 14.4k
Brian Wong United States 45 2.2k 0.4× 3.3k 0.8× 4.6k 1.5× 1.5k 0.6× 1.3k 0.7× 92 8.6k

Countries citing papers authored by Federica Marchesi

Since Specialization
Citations

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

Fields of papers citing papers by Federica Marchesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Marchesi

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Marchesi. A scholar is included among the top collaborators of Federica Marchesi 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 Federica Marchesi. Federica Marchesi 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.
Ferrari, Arianna, Tatiana Jofra, Lorenzo Da Dalt, et al.. (2025). Metabolic reprogramming of naïve regulatory T cells by IL-7 and IL-15 promotes their persistence and performance upon adoptive transfer. Communications Biology. 8(1). 99–99. 5 indexed citations
2.
Belgiovine, Cristina, Elisabeth Digifico, Marco Erreni, et al.. (2025). Malignant mesothelioma-associated inflammatory microenvironment promotes tumor progression via GPNMB. Journal of Translational Medicine. 23(1). 454–454. 1 indexed citations
3.
Mantovani, Alberto, Federica Marchesi, Diletta Di Mitri, & Cecília Garlanda. (2024). Macrophage diversity in cancer dissemination and metastasis. Cellular and Molecular Immunology. 21(11). 1201–1214. 22 indexed citations
4.
Costa, Guido, Carlo Sposito, Cristiana Soldani, et al.. (2023). Macrophage morphology and distribution are strong predictors of prognosis in resected colorectal liver metastases: results from an external retrospective observational study. International Journal of Surgery. 109(5). 1311–1317. 5 indexed citations
5.
Mantovani, Alberto, Paola Allavena, Federica Marchesi, & Cecília Garlanda. (2022). Macrophages as tools and targets in cancer therapy. Nature Reviews Drug Discovery. 21(11). 799–820. 1130 indexed citations breakdown →
6.
Cortese, Nina, Matteo Donadon, Marco Di Maio, et al.. (2021). Development of a Deep-Learning Pipeline to Recognize and Characterize Macrophages in Colo-Rectal Liver Metastasis. Cancers. 13(13). 3313–3313. 7 indexed citations
7.
Rigamonti, Alessandra, Friedrich Feuerhake, Matteo Donadon, Massimo Locati, & Federica Marchesi. (2021). Histopathological and Immune Prognostic Factors in Colo-Rectal Liver Metastases. Cancers. 13(5). 1075–1075. 3 indexed citations
8.
Donadon, Matteo, Guido Torzilli, Nina Cortese, et al.. (2020). Macrophage morphology correlates with single-cell diversity and prognosis in colorectal liver metastasis. The Journal of Experimental Medicine. 217(11). 110 indexed citations
9.
Marchesi, Federica, et al.. (2020). Manipulation of Glucose Availability to Boost Cancer Immunotherapies. Cancers. 12(10). 2940–2940. 20 indexed citations
10.
Marchesi, Federica. (2019). Macrophages at the crossroads of anticancer strategies. Frontiers in bioscience. 24(7). 1271–1283. 19 indexed citations
11.
Siddiqui, Imran, Marco Erreni, Mohammad Azhar Kamal, et al.. (2017). Differential role of Interleukin-1 and Interleukin-6 in K-Ras-driven pancreatic carcinoma undergoing mesenchymal transition. OncoImmunology. 7(2). e1388485–e1388485. 30 indexed citations
12.
Di, Giuseppe, Francesca Bergomas, Fabio Grizzi, et al.. (2014). Occurrence of Tertiary Lymphoid Tissue Is Associated with T-Cell Infiltration and Predicts Better Prognosis in Early-Stage Colorectal Cancers. Clinical Cancer Research. 20(8). 2147–2158. 285 indexed citations
13.
Di, Giuseppe, Federica Marchesi, Maria Rosaria Galdiero, & Fabio Grizzi. (2014). Immune mediators as potential diagnostic tools for colorectal cancer: from experimental rationale to early clinical evidence. Expert Review of Molecular Diagnostics. 14(3). 387–399. 6 indexed citations
14.
Celesti, Giuseppe, G.Q. Di, Paolo Bianchi, et al.. (2013). Early expression of the fractalkine receptor CX3CR1 in pancreatic carcinogenesis. British Journal of Cancer. 109(9). 2424–2433. 23 indexed citations
15.
Bergomas, Francesca, Fabio Grizzi, Andrea Doni, et al.. (2011). Tertiary Intratumor Lymphoid Tissue in Colo-Rectal Cancer. Cancers. 4(1). 1–10. 77 indexed citations
16.
Bongers, Gerold, David Maussang, Luciana R. Muniz, et al.. (2010). The cytomegalovirus-encoded chemokine receptor US28 promotes intestinal neoplasia in transgenic mice. Journal of Clinical Investigation. 120(11). 3969–3978. 89 indexed citations
17.
Marchesi, Federica, Lorenzo Piemonti, Alberto Mantovani, & Paola Allavena. (2010). Molecular mechanisms of perineural invasion, a forgotten pathway of dissemination and metastasis. Cytokine & Growth Factor Reviews. 21(1). 77–82. 206 indexed citations
18.
Viejo‐Borbolla, Abel, Andrea P. Martin, Luciana R. Muniz, et al.. (2010). Attenuation of TNF-driven murine ileitis by intestinal expression of the viral immunomodulator CrmD. Mucosal Immunology. 3(6). 633–644. 11 indexed citations
19.
Marchesi, Federica, Lorenzo Piemonti, Giuseppe Fedele, et al.. (2008). The Chemokine Receptor CX3CR1 Is Involved in the Neural Tropism and Malignant Behavior of Pancreatic Ductal Adenocarcinoma. Cancer Research. 68(21). 9060–9069. 142 indexed citations
20.
Mantovani, Alberto, Federica Marchesi, Chiara Porta, Paola Allavena, & Antonio Sica. (2007). Linking Inflammation Reactions to Cancer: Novel Targets for Therapeutic Strategies. Advances in experimental medicine and biology. 610. 112–127. 36 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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