Nuno Carmo

3.9k total citations · 1 hit paper
8 papers, 3.0k citations indexed

About

Nuno Carmo is a scholar working on Molecular Biology, Epidemiology and Microbiology. According to data from OpenAlex, Nuno Carmo has authored 8 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Microbiology. Recurrent topics in Nuno Carmo's work include Antimicrobial Peptides and Activities (3 papers), Mycobacterium research and diagnosis (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Nuno Carmo is often cited by papers focused on Antimicrobial Peptides and Activities (3 papers), Mycobacterium research and diagnosis (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Nuno Carmo collaborates with scholars based in Portugal, France and United Kingdom. Nuno Carmo's co-authors include Ariel Savina, Sebastián Amigorena, Luís F. Moita, Catarina Moita, Nir Hacohen, Matías Ostrowski, François Darchen, Graça Raposo, Isabelle Fanget and Alistair N. Hume and has published in prestigious journals such as Immunity, Nature Cell Biology and Current Biology.

In The Last Decade

Nuno Carmo

8 papers receiving 2.9k citations

Hit Papers

Rab27a and Rab27b control different steps of the exosome ... 2009 2026 2014 2020 2009 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nuno Carmo Portugal 8 2.4k 1.2k 624 606 198 8 3.0k
Chieh Hsu Switzerland 6 3.4k 1.4× 1.7k 1.5× 362 0.6× 485 0.8× 177 0.9× 7 3.7k
Danielle Tenza France 10 2.6k 1.1× 915 0.8× 863 1.4× 1.0k 1.7× 115 0.6× 10 3.3k
Maryse Romao France 25 2.4k 1.0× 921 0.8× 1.3k 2.0× 655 1.1× 190 1.0× 28 3.5k
Catarina Moita Portugal 11 3.4k 1.4× 1.8k 1.5× 365 0.6× 1.1k 1.7× 267 1.3× 19 4.2k
Gisèle Degeest Belgium 10 2.1k 0.9× 807 0.7× 966 1.5× 338 0.6× 129 0.7× 11 2.6k
Rui Freitas Portugal 6 2.1k 0.9× 1.1k 1.0× 187 0.3× 641 1.1× 257 1.3× 9 2.6k
Jean-Michel Escola France 10 1.3k 0.6× 389 0.3× 335 0.5× 600 1.0× 175 0.9× 13 2.0k
Stéphanie Charrin France 25 2.1k 0.9× 588 0.5× 709 1.1× 797 1.3× 264 1.3× 31 3.6k
Deborah Palliser United States 19 2.5k 1.0× 474 0.4× 185 0.3× 833 1.4× 308 1.6× 29 3.4k
Carolina Villarroya‐Beltri Spain 10 4.4k 1.8× 2.8k 2.4× 136 0.2× 988 1.6× 278 1.4× 14 5.1k

Countries citing papers authored by Nuno Carmo

Since Specialization
Citations

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

Fields of papers citing papers by Nuno Carmo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuno Carmo

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

All Works

8 of 8 papers shown
1.
Oliveira, Kamila Botelho Sampaio de, et al.. (2024). Antimicrobial Peptide Delivery Systems as Promising Tools Against Resistant Bacterial Infections. Antibiotics. 13(11). 1042–1042. 11 indexed citations
2.
Pires, David, Elliott M. Bernard, João Palma Neves Pombo, et al.. (2017). Mycobacterium tuberculosis Modulates miR-106b-5p to Control Cathepsin S Expression Resulting in Higher Pathogen Survival and Poor T-Cell Activation. Frontiers in Immunology. 8. 1819–1819. 43 indexed citations
3.
Pires, David, Joana Pereira‐Marques, João Palma Neves Pombo, et al.. (2016). Role of Cathepsins in Mycobacterium tuberculosis Survival in Human Macrophages. Scientific Reports. 6(1). 32247–32247. 67 indexed citations
4.
Pires, David, Marta Filipa Simões, Nuno Carmo, et al.. (2015). Esters of Pyrazinoic Acid Are Active against Pyrazinamide-Resistant Strains of Mycobacterium tuberculosis and Other Naturally Resistant Mycobacteria In Vitro and Ex Vivo within Macrophages. Antimicrobial Agents and Chemotherapy. 59(12). 7693–7699. 20 indexed citations
5.
Bettencourt, Paulo J. G., Sabrina Marion, David Pires, et al.. (2013). Actin-binding protein regulation by microRNAs as a novel microbial strategy to modulate phagocytosis by host cells: the case of N-Wasp and miR-142-3p. Frontiers in Cellular and Infection Microbiology. 3. 19–19. 65 indexed citations
6.
Savina, Ariel, Ignacio Cebrián, Nuno Carmo, et al.. (2009). The Small GTPase Rac2 Controls Phagosomal Alkalinization and Antigen Crosspresentation Selectively in CD8+ Dendritic Cells. Immunity. 30(4). 544–555. 232 indexed citations
7.
Ostrowski, Matías, Nuno Carmo, Sophie Krumeich, et al.. (2009). Rab27a and Rab27b control different steps of the exosome secretion pathway. Nature Cell Biology. 12(1). 19–30. 2056 indexed citations breakdown →
8.
Bettencourt‐Dias, Mónica, Ana Rodrigues-Martins, Lee Carpenter, et al.. (2005). SAK/PLK4 Is Required for Centriole Duplication and Flagella Development. Current Biology. 15(24). 2199–2207. 475 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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