Nuno da Costa

31 total papers · 1.4k total citations
19 papers, 935 citations indexed

About

Nuno da Costa is a scholar working on Molecular Biology, Animal Science and Zoology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Nuno da Costa has authored 19 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Animal Science and Zoology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Nuno da Costa's work include Muscle Physiology and Disorders (11 papers), Meat and Animal Product Quality (4 papers) and Cardiomyopathy and Myosin Studies (4 papers). Nuno da Costa is often cited by papers focused on Muscle Physiology and Disorders (11 papers), Meat and Animal Product Quality (4 papers) and Cardiomyopathy and Myosin Studies (4 papers). Nuno da Costa collaborates with scholars based in United Kingdom, United States and Germany. Nuno da Costa's co-authors include Kin‐Chow Chang, J.D. Wood, O. I. Southwood, R.I. Richardson, Graham Plastow, G. R. Evans, G.R. Nute, FM Whittington, R J Mansbridge and Hadi M. Alzuherri and has published in prestigious journals such as Journal of Bacteriology, Journal of Nutrition and Journal of Histochemistry & Cytochemistry.

In The Last Decade

Nuno da Costa

18 papers receiving 893 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nuno da Costa 570 362 219 195 96 19 935
I. Fiedler 667 1.2× 405 1.1× 222 1.0× 247 1.3× 172 1.8× 21 1.1k
H. J. Mersmann 593 1.0× 299 0.8× 432 2.0× 112 0.6× 136 1.4× 41 1.1k
Pascale Le Roy 536 0.9× 389 1.1× 122 0.6× 491 2.5× 88 0.9× 15 1.1k
R. Vasilatos-Younken 507 0.9× 191 0.5× 143 0.7× 256 1.3× 65 0.7× 56 1.1k
Christophe Praud 420 0.7× 494 1.4× 142 0.6× 157 0.8× 114 1.2× 27 1.1k
M. S. Mayes 461 0.8× 237 0.7× 119 0.5× 166 0.9× 189 2.0× 26 840
S. G. Cornelius 667 1.2× 266 0.7× 178 0.8× 209 1.1× 96 1.0× 41 1.1k
Jin‐Tae Jeon 405 0.7× 481 1.3× 102 0.5× 443 2.3× 62 0.6× 29 1.1k
Marie Damon 472 0.8× 238 0.7× 218 1.0× 189 1.0× 52 0.5× 25 851
T.L. Scheffler 452 0.8× 340 0.9× 210 1.0× 75 0.4× 139 1.4× 20 820

Countries citing papers authored by Nuno da Costa

Since Specialization
Citations

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

Fields of papers citing papers by Nuno da Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuno da Costa

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

All Works

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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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