Rosa Trotta

407 total citations
9 papers, 205 citations indexed

About

Rosa Trotta is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Rosa Trotta has authored 9 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Rosa Trotta's work include Immune cells in cancer (4 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (2 papers). Rosa Trotta is often cited by papers focused on Immune cells in cancer (4 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (2 papers). Rosa Trotta collaborates with scholars based in Italy, Belgium and Australia. Rosa Trotta's co-authors include Mary D. Naylor, Kathleen McCauley, M. Brian Bixby, Christine Bradway, Arcangelo Liso, Massimo Conese, Stefano Castellani, Sabata Martino, Chiara Argentati and Pasquale De Luca and has published in prestigious journals such as International Journal of Molecular Sciences, Science Advances and Cancer Discovery.

In The Last Decade

Rosa Trotta

9 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosa Trotta Italy 8 52 49 33 32 28 9 205
Emily S. Andersen United States 8 31 0.6× 15 0.3× 26 0.8× 43 1.3× 57 2.0× 22 199
Tucheng Huang China 9 92 1.8× 51 1.0× 11 0.3× 56 1.8× 21 0.8× 14 330
Bei Yun China 9 97 1.9× 38 0.8× 12 0.4× 35 1.1× 52 1.9× 17 310
Yingke Xu United States 10 52 1.0× 11 0.2× 35 1.1× 15 0.5× 27 1.0× 18 273
Michał Ćwiertnia Poland 8 79 1.5× 22 0.4× 10 0.3× 14 0.4× 35 1.3× 14 252
Sylvie Streel Belgium 11 28 0.5× 12 0.2× 40 1.2× 13 0.4× 46 1.6× 21 256
Emma Wylie United Kingdom 4 36 0.7× 33 0.7× 14 0.4× 16 0.5× 8 0.3× 5 224
Nasim Khosravi Iran 10 62 1.2× 12 0.2× 53 1.6× 62 1.9× 136 4.9× 23 347
Julia Thomson Australia 3 80 1.5× 14 0.3× 25 0.8× 7 0.2× 70 2.5× 4 326

Countries citing papers authored by Rosa Trotta

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Trotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Trotta

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Trotta. A scholar is included among the top collaborators of Rosa Trotta 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 Rosa Trotta. Rosa Trotta 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.
Trotta, Rosa, Joanna Poźniak, Jonas Dehairs, et al.. (2025). Activated T Cells Break Tumor Immunosuppression by Macrophage Reeducation. Cancer Discovery. 15(7). 1410–1436. 5 indexed citations
2.
Vanmeerbeek, Isaure, Stefan Naulaerts, Jenny Sprooten, et al.. (2024). Targeting conserved TIM3 + VISTA + tumor-associated macrophages overcomes resistance to cancer immunotherapy. Science Advances. 10(29). eadm8660–eadm8660. 22 indexed citations
3.
Rosa, Paolo, Gian Carlo Bellenchi, Rosa Trotta, et al.. (2022). Nucleolar localization of the ErbB3 receptor as a new target in glioblastoma. BMC Molecular and Cell Biology. 23(1). 13–13. 10 indexed citations
4.
Trotta, Rosa, Rosella Scrima, Consiglia Pacelli, et al.. (2017). Febrile temperature reprograms by redox-mediated signaling the mitochondrial metabolic phenotype in monocyte-derived dendritic cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(3). 685–699. 7 indexed citations
5.
Conese, Massimo, et al.. (2017). Insulin-like growth factor-6 (IGFBP-6) stimulates neutrophil oxidative burst, degranulation and chemotaxis. Inflammation Research. 67(2). 107–109. 14 indexed citations
6.
Liso, Arcangelo, Stefano Castellani, Francesca Massenzio, et al.. (2017). Human monocyte-derived dendritic cells exposed to hyperthermia show a distinct gene expression profile and selective upregulation of IGFBP6. Oncotarget. 8(37). 60826–60840. 24 indexed citations
7.
Morena, Francesco, Chiara Argentati, Rosa Trotta, et al.. (2017). A Comparison of Lysosomal Enzymes Expression Levels in Peripheral Blood of Mild- and Severe-Alzheimer’s Disease and MCI Patients: Implications for Regenerative Medicine Approaches. International Journal of Molecular Sciences. 18(8). 1806–1806. 41 indexed citations
8.
Armentano, Ilaria, Elena Fortunati, Matteo Gigli, et al.. (2016). Effect of SWCNT introduction in random copolymers on material properties and fibroblast long term culture stability. Polymer Degradation and Stability. 132. 220–230. 8 indexed citations
9.
Bradway, Christine, et al.. (2011). A Qualitative Analysis of an Advanced Practice Nurse-Directed Transitional Care Model Intervention. The Gerontologist. 52(3). 394–407. 74 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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