Carlos Martins

2.8k total citations
50 papers, 2.2k citations indexed

About

Carlos Martins is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Immunology. According to data from OpenAlex, Carlos Martins has authored 50 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Agronomy and Crop Science, 35 papers in Ecology, Evolution, Behavior and Systematics and 15 papers in Immunology. Recurrent topics in Carlos Martins's work include Animal Disease Management and Epidemiology (43 papers), Vector-Borne Animal Diseases (35 papers) and Viral Infections and Immunology Research (13 papers). Carlos Martins is often cited by papers focused on Animal Disease Management and Epidemiology (43 papers), Vector-Borne Animal Diseases (35 papers) and Viral Infections and Immunology Research (13 papers). Carlos Martins collaborates with scholars based in Portugal, United Kingdom and Spain. Carlos Martins's co-authors include Alexandre Leitão, Fernando Ferreira, Ferdinando B. Freitas, R. M. E. Parkhouse, Margarida Simões, Raquel Portugal, Linda K. Dixon, Clara Cartaxeiro, Fernando Boinas and Carmina Gallardo and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and Journal of Virology.

In The Last Decade

Carlos Martins

49 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos Martins Portugal 28 1.8k 1.5k 795 652 426 50 2.2k
Andrew E. Shaw United Kingdom 28 1.6k 0.9× 1.6k 1.1× 591 0.7× 1.2k 1.9× 312 0.7× 51 2.5k
Kenny V. Brock United States 30 1.8k 1.0× 1.4k 0.9× 416 0.5× 1.3k 1.9× 321 0.8× 83 2.4k
Vivian O’Donnell United States 33 2.7k 1.5× 2.0k 1.3× 1.8k 2.3× 773 1.2× 280 0.7× 63 3.2k
Alexandre Leitão Portugal 26 1.0k 0.6× 846 0.6× 416 0.5× 397 0.6× 363 0.9× 62 1.9k
M. Daniel Givens United States 26 1.6k 0.9× 1.2k 0.8× 222 0.3× 802 1.2× 343 0.8× 99 2.1k
Lauren G. Holinka United States 31 2.7k 1.5× 1.8k 1.3× 1.7k 2.2× 782 1.2× 225 0.5× 51 3.0k
René G. P. van Gennip Netherlands 28 1.8k 1.0× 1.3k 0.9× 807 1.0× 891 1.4× 85 0.2× 51 2.0k
C. Carrillo United States 29 1.6k 0.9× 1.1k 0.8× 1.3k 1.6× 440 0.7× 150 0.4× 44 2.3k
Wilna Vosloo South Africa 30 3.7k 2.1× 3.2k 2.2× 2.4k 3.0× 814 1.2× 274 0.6× 86 4.0k
Norbert Tautz Germany 28 1.8k 1.0× 942 0.6× 996 1.3× 842 1.3× 187 0.4× 52 2.6k

Countries citing papers authored by Carlos Martins

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Martins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Martins

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Martins. A scholar is included among the top collaborators of Carlos Martins 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 Carlos Martins. Carlos Martins 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
3.
Freitas, Ferdinando B., et al.. (2019). The QP509L and Q706L superfamily II RNA helicases of African swine fever virus are required for viral replication, having non-redundant activities. Emerging Microbes & Infections. 8(1). 291–302. 22 indexed citations
4.
Freitas, Ferdinando B., et al.. (2018). African swine fever virus encodes for an E2-ubiquitin conjugating enzyme that is mono- and di-ubiquitinated and required for viral replication cycle. Scientific Reports. 8(1). 3471–3471. 40 indexed citations
5.
Arias, M., Ana de la Torre, Linda K. Dixon, et al.. (2017). Approaches and Perspectives for Development of African Swine Fever Virus Vaccines. Vaccines. 5(4). 35–35. 165 indexed citations
6.
Ferreira, Fernando, et al.. (2016). Functional characterization and inhibition of the type II DNA topoisomerase coded by African swine fever virus. Virology. 493. 209–216. 25 indexed citations
7.
Simões, Margarida, et al.. (2015). Alterations of Nuclear Architecture and Epigenetic Signatures during African Swine Fever Virus Infection. Viruses. 7(9). 4978–4996. 33 indexed citations
8.
Martins, Carlos, et al.. (2014). African swine fever virus ORF P1192R codes for a functional type II DNA topoisomerase. Virology. 474. 82–93. 32 indexed citations
9.
Basto, Afonso P., Marina Badenes, S. C. P. Almeida, et al.. (2014). Immune response profile elicited by the model antigen ovalbumin expressed in fusion with the bacterial OprI lipoprotein. Molecular Immunology. 64(1). 36–45. 22 indexed citations
10.
Simões, Margarida, Carlos Martins, & Fernando Ferreira. (2013). Host DNA damage response facilitates African swine fever virus infection. Veterinary Microbiology. 165(1-2). 140–147. 22 indexed citations
11.
Mottola, Carla, Ferdinando B. Freitas, Margarida Simões, et al.. (2013). In vitro antiviral activity of fluoroquinolones against African swine fever virus. Veterinary Microbiology. 165(1-2). 86–94. 43 indexed citations
12.
Gallardo, Carmina, Alejandro Soler, Raquel Nieto, et al.. (2012). Comparative evaluation of novel African swine fever virus (ASF) antibody detection techniques derived from specific ASF viral genotypes with the OIE internationally prescribed serological tests. Veterinary Microbiology. 162(1). 32–43. 42 indexed citations
13.
Takamatsu, Haru‐Hisa, M. Denyer, Anna Lacasta, et al.. (2012). Cellular immunity in ASFV responses. Virus Research. 173(1). 110–121. 133 indexed citations
14.
Boinas, Fernando, Anthony J. Wilson, G. Hutchings, Carlos Martins, & Linda K. Dixon. (2011). The Persistence of African Swine Fever Virus in Field-Infected Ornithodoros erraticus during the ASF Endemic Period in Portugal. PLoS ONE. 6(5). e20383–e20383. 103 indexed citations
15.
Sánchez‐Vizcaíno, José Manuel, Beatriz Martínez‐López, Marta Martínez‐Avilés, et al.. (2009). Scientific review on African swine fever : Scientific report submitted to EFSA. Agritrop (Cirad). 16 indexed citations
16.
Portugal, Raquel, Alexandre Leitão, & Carlos Martins. (2009). Characterization of African swine fever virus IAP homologue expression in porcine macrophages infected with different virulence isolates. Veterinary Microbiology. 139(1-2). 140–146. 11 indexed citations
17.
Basto, Afonso P., Rebecca Nix, Fernando Boinas, et al.. (2006). Kinetics of African swine fever virus infection in Ornithodoros erraticus ticks. Journal of General Virology. 87(7). 1863–1871. 32 indexed citations
18.
Leitão, Alexandre, Achut G. Malur, Pierre Cornélis, & Carlos Martins. (1998). Identification of a 25-aminoacid sequence from the major African swine fever virus structural protein VP72 recognised by porcine cytotoxic T lymphocytes using a lipoprotein based expression system. Journal of Virological Methods. 75(1). 113–119. 34 indexed citations
19.
Genovesi, Eugene V., et al.. (1989). In vitro induction of swine peripheral blood monocyte proliferation by the fibroblast-derived murine hematopoietic growth factor CSF-1. Veterinary Immunology and Immunopathology. 23(3-4). 223–244. 38 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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