Manuel Santos-Rosa

665 total citations
23 papers, 435 citations indexed

About

Manuel Santos-Rosa is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Manuel Santos-Rosa has authored 23 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 5 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Manuel Santos-Rosa's work include Immune Cell Function and Interaction (8 papers), IL-33, ST2, and ILC Pathways (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Manuel Santos-Rosa is often cited by papers focused on Immune Cell Function and Interaction (8 papers), IL-33, ST2, and ILC Pathways (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Manuel Santos-Rosa collaborates with scholars based in Portugal, Spain and Brazil. Manuel Santos-Rosa's co-authors include Vera Alves, Paulo Rodrigues‐Santos, Maria do Céu Sousa, Lı́gia Salgueiro, Alexandra Dinis, Marisa Machado, Carlos Cavaleiro, José Casanova, Pedro Pires and Anabela Mota‐Pinto and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Manuel Santos-Rosa

23 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Santos-Rosa Portugal 11 156 121 100 87 60 23 435
Marni E. Cueno Japan 14 71 0.5× 78 0.6× 35 0.3× 218 2.5× 26 0.4× 44 582
Renato Barboza Brazil 18 213 1.4× 160 1.3× 21 0.2× 120 1.4× 52 0.9× 28 595
Gerardo Gatti Argentina 14 228 1.5× 15 0.1× 45 0.5× 87 1.0× 53 0.9× 21 520
T Takemura Japan 14 127 0.8× 77 0.6× 23 0.2× 169 1.9× 34 0.6× 50 583
Karen L. Joyce United States 7 205 1.3× 167 1.4× 113 1.1× 39 0.4× 7 0.1× 9 513
Mark H. T. Stappers Netherlands 14 214 1.4× 31 0.3× 25 0.3× 113 1.3× 36 0.6× 24 521
Philip Bergin United Kingdom 13 285 1.8× 25 0.2× 23 0.2× 92 1.1× 21 0.3× 20 528
Anne E. Geller United States 7 223 1.4× 15 0.1× 57 0.6× 93 1.1× 19 0.3× 14 420
Sofía Sirvent Spain 14 158 1.0× 35 0.3× 30 0.3× 97 1.1× 20 0.3× 19 613

Countries citing papers authored by Manuel Santos-Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Santos-Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Santos-Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Santos-Rosa. A scholar is included among the top collaborators of Manuel Santos-Rosa 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 Manuel Santos-Rosa. Manuel Santos-Rosa 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.
Santos-Rosa, Manuel, et al.. (2025). Comprehensive Receptor Repertoire and Functional Analysis of Peripheral NK Cells in Soft Tissue Sarcoma Patients. Cancers. 17(15). 2508–2508. 1 indexed citations
2.
Alves, Vera, et al.. (2024). Peripheral immune profiling of soft tissue sarcoma: perspectives for disease monitoring. Frontiers in Immunology. 15. 1391840–1391840. 4 indexed citations
3.
Casanova, José, et al.. (2023). Natural Killer T-like Cells: Immunobiology and Role in Disease. International Journal of Molecular Sciences. 24(3). 2743–2743. 28 indexed citations
4.
Silva, Joana, et al.. (2022). Dynamics of Soluble Factors and Double-Negative T Cells Associated with Response to Renal Denervation in Resistant Hypertension Patients. Journal of Personalized Medicine. 12(3). 343–343. 3 indexed citations
5.
Rodrigues‐Santos, Paulo, et al.. (2021). Type 2 and type 3 innate lymphoid cells at the maternal-fetal interface: implications in preterm birth. BMC Immunology. 22(1). 28–28. 10 indexed citations
6.
Santos-Rosa, Manuel, et al.. (2021). Tumor and Peripheral Immune Status in Soft Tissue Sarcoma: Implications for Immunotherapy. Cancers. 13(15). 3885–3885. 18 indexed citations
7.
Areia, Ana Luísa, et al.. (2020). Innate Lymphoid Cells in Human Pregnancy. Frontiers in Immunology. 11. 551707–551707. 9 indexed citations
8.
López-Sejas, Nelson, Vera Alves, Raquel Tarazona, et al.. (2019). NKT-Like (CD3+CD56+) Cells in Chronic Myeloid Leukemia Patients Treated With Tyrosine Kinase Inhibitors. Frontiers in Immunology. 10. 2493–2493. 20 indexed citations
9.
Gomes‐da‐Silva, Lígia C., et al.. (2019). Immune Responses after Vascular Photodynamic Therapy with Redaporfin. Journal of Clinical Medicine. 9(1). 104–104. 34 indexed citations
10.
Rodrigues‐Santos, Paulo, Nelson López-Sejas, Vera Alves, et al.. (2018). Effect of Age on NK Cell Compartment in Chronic Myeloid Leukemia Patients Treated With Tyrosine Kinase Inhibitors. Frontiers in Immunology. 9. 2587–2587. 6 indexed citations
11.
Alves, Vera, et al.. (2016). Type 1 diabetes in children is not a predisposing factor for oral yeast colonization. Medical Mycology. 55(4). myw092–myw092. 5 indexed citations
12.
Alves, Hugo Vicentin, Ana Paula Lopes, Ana Maria Sell, et al.. (2016). Gene Association with Leprosy: A Review of Published Data. Frontiers in Immunology. 6. 658–658. 30 indexed citations
13.
Areia, Ana Luísa, Vera Alves, Paulo Rodrigues‐Santos, et al.. (2015). Can membrane progesterone receptor α on T regulatory cells explain the ensuing human labour?. Journal of Reproductive Immunology. 113. 22–26. 24 indexed citations
15.
Sousa, Maria do Céu, et al.. (2014). Antileishmanial Activity of Semisynthetic Lupane Triterpenoids Betulin and Betulinic Acid Derivatives: Synergistic Effects with Miltefosine. PLoS ONE. 9(3). e89939–e89939. 44 indexed citations
16.
Machado, Marisa, Alexandra Dinis, Manuel Santos-Rosa, et al.. (2013). Activity of Thymus capitellatus volatile extract, 1,8-cineole and borneol against Leishmania species. Veterinary Parasitology. 200(1-2). 39–49. 52 indexed citations
17.
Machado, Marisa, Pedro Pires, Alexandra Dinis, et al.. (2012). Monoterpenic aldehydes as potential anti-Leishmania agents: Activity of Cymbopogon citratus and citral on L. infantum, L. tropica and L. major. Experimental Parasitology. 130(3). 223–231. 92 indexed citations
18.
Todo‐Bom, Ana, Anabela Mota‐Pinto, Vera Alves, & Manuel Santos-Rosa. (2011). Aging and asthma – changes in CD45RA, CD29 and CD95 T cells subsets. Allergologia et Immunopathologia. 40(1). 14–19. 11 indexed citations
19.
Todo‐Bom, Ana, et al.. (2006). Substance P in Long-Lasting Asthma. Immunoinflammatory pathways. Estudo Geral (Universidade de Coimbra). 18(5). 242–248. 2 indexed citations
20.
Oliveira, Jaqueline Mendes de, et al.. (2001). [Immunologic and epidemiologic characterization of non-responders/low-responders to hepatitis B vaccine].. PubMed. 13(4). 159–65. 1 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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