Metamia Ciampricotti

3.5k total citations · 1 hit paper
13 papers, 1.9k citations indexed

About

Metamia Ciampricotti is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Metamia Ciampricotti has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 5 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Metamia Ciampricotti's work include Immune cells in cancer (4 papers), Cancer Cells and Metastasis (4 papers) and Immunotherapy and Immune Responses (3 papers). Metamia Ciampricotti is often cited by papers focused on Immune cells in cancer (4 papers), Cancer Cells and Metastasis (4 papers) and Immunotherapy and Immune Responses (3 papers). Metamia Ciampricotti collaborates with scholars based in Netherlands, United States and United Kingdom. Metamia Ciampricotti's co-authors include Karin E. de Visser, Cheei‐Sing Hau, Jos Jonkers, Kim Vrijland, Chris W. Doornebal, Seth B. Coffelt, Kelly Kersten, Niels J. M. Verstegen, Jorieke Weiden and Lukas J.A.C. Hawinkels and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Cell Biology.

In The Last Decade

Metamia Ciampricotti

13 papers receiving 1.9k citations

Hit Papers

IL-17-producing γδ T cells and neutrophils conspire to pr... 2015 2026 2018 2022 2015 400 800 1.2k
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. IL-17-producing γδ T cells and neutrophils conspire to promote breast cancer metastasis
    2015 1.3k citations Seth B. Coffelt, Kelly Kersten et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Metamia Ciampricotti Netherlands 11 1.2k 1.0k 529 210 182 13 1.9k
Cheei‐Sing Hau Netherlands 12 1.3k 1.2× 1.2k 1.1× 616 1.2× 282 1.3× 209 1.1× 15 2.2k
Evgenii N. Tcyganov United States 6 1.5k 1.3× 947 0.9× 509 1.0× 239 1.1× 159 0.9× 7 2.0k
Paúl E. Clavijo United States 20 1.0k 0.9× 1.0k 1.0× 390 0.7× 165 0.8× 245 1.3× 33 1.6k
Michael A. Cannarile Switzerland 16 1.3k 1.1× 770 0.7× 435 0.8× 157 0.7× 183 1.0× 27 1.9k
Chris W. Doornebal Netherlands 8 1.0k 0.9× 817 0.8× 326 0.6× 180 0.9× 138 0.8× 11 1.7k
Burles A. Johnson United States 11 772 0.7× 857 0.8× 418 0.8× 190 0.9× 176 1.0× 34 1.5k
Taylor H. Schreiber United States 23 1.0k 0.9× 574 0.5× 475 0.9× 263 1.3× 109 0.6× 50 1.8k
Samantha Solito Italy 18 2.1k 1.9× 1.0k 1.0× 454 0.9× 161 0.8× 117 0.6× 21 2.5k
Andrea Ponzetta Italy 13 1.2k 1.0× 744 0.7× 352 0.7× 134 0.6× 135 0.7× 21 1.6k
Giacomo Desantis Italy 10 1.6k 1.4× 1.2k 1.1× 648 1.2× 540 2.6× 221 1.2× 13 2.5k

Countries citing papers authored by Metamia Ciampricotti

Since Specialization
Citations

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

Fields of papers citing papers by Metamia Ciampricotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Metamia Ciampricotti

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

All Works

13 of 13 papers shown
1.
Jaspers, Janneke E., et al.. (2023). IL-18–secreting CAR T cells targeting DLL3 are highly effective in small cell lung cancer models. Journal of Clinical Investigation. 133(9). 96 indexed citations
2.
Quintanal-Villalonga, Àlvaro, Maysun Hasan, Shweta S. Chavan, et al.. (2021). 1800O Multi-omic characterization of lung tumors implicates AKT and MYC signaling in adenocarcinoma to squamous cell transdifferentiation. Annals of Oncology. 32. S1226–S1226. 1 indexed citations
3.
Caeser, Rebecca, Emily A. Costa, Vidushi Durani, et al.. (2021). MAPK pathway activation selectively inhibits ASCL1-driven small cell lung cancer. iScience. 24(11). 103224–103224. 20 indexed citations
4.
Salvagno, Camilla, Metamia Ciampricotti, Cheei‐Sing Hau, et al.. (2019). Therapeutic targeting of macrophages enhances chemotherapy efficacy by unleashing type I interferon response. Nature Cell Biology. 21(4). 511–521. 122 indexed citations
5.
Kersten, Kelly, Seth B. Coffelt, Marlous Hoogstraat, et al.. (2017). Mammary tumor-derived CCL2 enhances pro-metastatic systemic inflammation through upregulation of IL1β in tumor-associated macrophages. OncoImmunology. 6(8). e1334744–e1334744. 85 indexed citations
6.
Kersten, Kelly, Seth B. Coffelt, Niels J. M. Verstegen, et al.. (2016). Abstract A20: Mammary tumor-derived CCL2 enhances pro-metastatic systemic inflammation through upregulation of macrophage-derived IL1beta. Cancer Research. 76(7_Supplement). A20–A20. 4 indexed citations
7.
Doornebal, Chris W., Kim Vrijland, Cheei‐Sing Hau, et al.. (2015). Morphine does not facilitate breast cancer progression in two preclinical mouse models for human invasive lobular and HER2+ breast cancer. Pain. 156(8). 1424–1432. 37 indexed citations
8.
Coffelt, Seth B., Kelly Kersten, Chris W. Doornebal, et al.. (2015). IL-17-producing γδ T cells and neutrophils conspire to promote breast cancer metastasis. Nature. 522(7556). 345–348. 1295 indexed citations breakdown →
9.
Doornebal, Chris W., Sjoerd Klarenbeek, Tanya M. Braumuller, et al.. (2012). A Preclinical Mouse Model of Invasive Lobular Breast Cancer Metastasis. Cancer Research. 73(1). 353–363. 55 indexed citations
10.
Pater, Emma de, Metamia Ciampricotti, Florian Priller, et al.. (2012). Bmp Signaling Exerts Opposite Effects on Cardiac Differentiation. Circulation Research. 110(4). 578–587. 67 indexed citations
11.
Visser, Karin E. de, Metamia Ciampricotti, Ewa M. Michalak, et al.. (2012). Developmental stage‐specific contribution of LGR5+ cells to basal and luminal epithelial lineages in the postnatal mammary gland. The Journal of Pathology. 228(3). 300–309. 129 indexed citations
12.
Ciampricotti, Metamia, Kim Vrijland, Cheei‐Sing Hau, et al.. (2010). Development of metastatic HER2+ breast cancer is independent of the adaptive immune system. The Journal of Pathology. 224(1). 56–66. 21 indexed citations
13.
Evers, Bastiaan, Ewoud N. Speksnijder, Eva Schut, et al.. (2009). A tissue reconstitution model to study cancer cell‐intrinsic and ‐extrinsic factors in mammary tumourigenesis. The Journal of Pathology. 220(1). 34–44. 12 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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