N. Carolino

1.9k total citations
107 papers, 1.3k citations indexed

About

N. Carolino is a scholar working on Genetics, Radiation and Nuclear and High Energy Physics. According to data from OpenAlex, N. Carolino has authored 107 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 18 papers in Radiation and 17 papers in Nuclear and High Energy Physics. Recurrent topics in N. Carolino's work include Genetic and phenotypic traits in livestock (34 papers), Radiation Detection and Scintillator Technologies (18 papers) and Particle Detector Development and Performance (17 papers). N. Carolino is often cited by papers focused on Genetic and phenotypic traits in livestock (34 papers), Radiation Detection and Scintillator Technologies (18 papers) and Particle Detector Development and Performance (17 papers). N. Carolino collaborates with scholars based in Portugal, Spain and Brazil. N. Carolino's co-authors include L.T. Gama, P. Fonte, R. Ferreira‐Marques, A. Blanco, George Stilwell, A. Policarpo, Miguel S. Lima, Gabriela Silva, Karim Sidi‐Boumedine and Inês Carolino and has published in prestigious journals such as Journal of Dairy Science, Journal of Thoracic and Cardiovascular Surgery and Journal of Animal Science.

In The Last Decade

N. Carolino

96 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. Carolino Portugal	23	400	257	229	199	145	107	1.3k
Michael Nelson United States	26	454 1.1×	285 1.1×	88 0.4×	1.6k 7.9×	15 0.1×	67	3.0k
M. Ludwig Germany	27	41 0.1×	104 0.4×	35 0.2×	118 0.6×	31 0.2×	98	1.9k
C. St-Pierre Canada	21	67 0.2×	354 1.4×	148 0.6×	641 3.2×	61 0.4×	106	1.8k
J. Hirvonen Finland	13	45 0.1×	80 0.3×	3 0.0×	65 0.3×	246 1.7×	22	766
Mingsheng Cai China	21	171 0.4×	25 0.1×	80 0.3×	321 1.6×	34 0.2×	80	1.4k
C. Bazin France	23	253 0.6×	148 0.6×	419 1.8×	638 3.2×	7 0.0×	97	2.0k
Lauriane Lecoq France	19	34 0.1×	96 0.4×	7 0.0×	267 1.3×	11 0.1×	45	801
Y. Watanabe Japan	15	218 0.5×	83 0.3×	12 0.1×	189 0.9×	13 0.1×	44	707
Rodat T. Cunningham United Kingdom	14	20 0.1×	39 0.2×	13 0.1×	113 0.6×	18 0.1×	21	662
T. Kirn United States	13	179 0.4×	95 0.4×	74 0.3×	445 2.2×		30	1.1k

Countries citing papers authored by N. Carolino

Since Specialization

Citations

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

Fields of papers citing papers by N. Carolino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Carolino

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

All Works

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20 of 20 papers shown

Verardo, Lucas Lima, Marco Antônio Machado, J. C. do C. Panetto, et al.. (2024). Exploring the genetic origin of Brazilian locally adapted breeds: Admixture, population history and relationship with Portuguese and indicine cattle. Livestock Science. 282. 105455–105455.

González, Francisco Javier Navas, Antonio González Ariza, José Manuel León Jurado, et al.. (2024). Data-Mining Methodology to Improve the Scientific Production Quality in Turkey Meat and Carcass Characterization Studies. Animals. 14(14). 2107–2107.

Carolino, N., et al.. (2024). A study of knowledge, attitudes, and practices on ticks and tick-borne diseases of cattle among breeders of two bovine Portuguese autochthonous breeds. Veterinary Parasitology Regional Studies and Reports. 48. 100989–100989. 3 indexed citations

Lopes, L., S. Andringa, P. Assis, et al.. (2023). Outdoor systems performance and upgrade. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1054. 168446–168446. 3 indexed citations

Barbas, João Pedro, M.C. Baptista, C.C. Marques, et al.. (2023). Ram Semen Cryopreservation for Portuguese Native Breeds: Season and Breed Effects on Semen Quality Variation. Animals. 13(4). 579–579. 7 indexed citations

Stilwell, George, et al.. (2023). Evaluation of Chute Exit, Novelty and Human Approach Tests in Mertolenga Beef Cattle. Animals. 13(6). 1087–1087. 3 indexed citations

Carolino, N., et al.. (2020). Genetic Diversity in the Portuguese Mertolenga Cattle Breed Assessed by Pedigree Analysis. Animals. 10(11). 1990–1990. 15 indexed citations

Andrade, Isabel, et al.. (2019). Blood lactate, pH, base excess and pCO2 as prognostic indicators in caesarean-born kids from goats with pregnancy toxaemia. Irish Veterinary Journal. 72(1). 10–10. 7 indexed citations

Silva, Ana, Susana Santos, Joana Silva, et al.. (2013). Biological characterization of the antiproliferative potential of Co(II) and Sn(IV) coordination compounds in human cancer cell lines: a comparative proteomic approach. Drug metabolism and drug interactions. 28(3). 167–176. 40 indexed citations

10.

Santos-Silva, F., et al.. (2009). Análise da estrutura genética de populações ovinas churras portuguesas. Archivos de Zootecnia. 58(1). 493–496. 1 indexed citations

11.

Bressan, Maria Cristina, et al.. (2009). PH E FORÇA DE CORTE DA CARNE DE BOVINOS ALENTEJANOS E MERTOLENGOS. Archivos de Zootecnia. 58(1). 581–584. 1 indexed citations

12.

Carolino, N., et al.. (2007). Parâmetros genéticos e efeitos ambientais de caracteresreprodutivos em suínos malhado alcobaça. Archivos de Zootecnia. 56(1). 655–658. 1 indexed citations

13.

Carolino, N., et al.. (2007). Interaçoes genótipo X ambiente em caracteres reproductivos e de crescimento de bovinos alentejanos. Archivos de Zootecnia. 56(1). 633–640. 1 indexed citations

14.

Carolino, N., et al.. (2006). Calving interval in Portuguese dairy cattle. 1. Estimates of genetic parameters and trends.. 11–15. 2 indexed citations

15.

Carolino, N., et al.. (2006). Calving interval in Portuguese dairy cattle. 2. Relationships with production traits.. 11–21. 1 indexed citations

16.

Carolino, N., et al.. (2006). Estimates of genetic parameters for reproductive, growth and carcass traits in the Alentejana breed of cattle.. 3–33. 1 indexed citations

17.

Carolino, N., et al.. (2004). Consanguinidade e depressáo consanguínea num efectivo ovino da raca churra badana. Archivos de Zootecnia. 53(202). 229–232. 4 indexed citations

18.

Carolino, N., et al.. (2003). Características productivas da ovelha serra da estrella. Archivos de Zootecnia. 52(197). 3–14. 4 indexed citations

19.

Carolino, N., et al.. (2003). Contraste leitero na ovelha serra da estrela. Archivos de Zootecnia. 52(197). 113–116. 2 indexed citations

20.

Freire, Ana Ponces, et al.. (2002). Glucose-6-phosphate Dehydrogenase Deficiency in Portugal: Biochemical and Mutational Profiles, Heterogeneity, and Haplotype Association. Blood Cells Molecules and Diseases. 28(2). 249–259. 20 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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