Nuno da Costa

1.4k total citations
19 papers, 939 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 939 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, Graham Plastow, R.I. Richardson, G. R. Evans, R J Mansbridge, G.R. Nute, FM Whittington 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 897 citations

Peers

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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19 of 19 papers shown

#	Work	Indexed citations
1	Anomaly Detection in EM Images - A Zero-Shot Learning Approach 2022 ·2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) ·Gayathri Mahalingam, Tong Jiao, Casey M Schneider-Mizell, Ágnes L. Bodor, Russel Torres, Marc Takeno, JoAnn Buchanan, Daniel J. Bumbarger, Wenjing Yin, Derrick Brittain, Clay Reid, Nuno da Costa	0
2	Reel-to-Reel Electron Microscopy: Latency-Free Continuous Imaging of Large Sample Volumes 2015 ·Microscopy and Microanalysis ·Christopher S. Own, Matthew F. Murfitt, Lawrence S. Own, Derrick Brittain, Nuno da Costa, R. Clay Reid, David G. C. Hildebrand, Brett J. Graham, Wei-Chung Allen Lee	1
3	A Novel Framework for Supervised Mobile Assessment and Risk Triage of Skin Lesions 2015 ·Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) ·Luís Rosado, Maria João M. Vasconcelos, (unknown), Nuno da Costa	4
4	Evaluation of cytokine mRNA expression in bronchoalveolar lavage cells from horses with inflammatory airway disease 2010 ·Veterinary Immunology and Immunopathology ·Kris Hughes, L. Nicolson, Nuno da Costa, Samantha Franklin, Kate Allen, Stephen Dunham	42
5	The critical role of the Arabidopsis circadian clock at high temperature 2008 ·Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology ·Nuno da Costa, James Hartwell, Anthony Hall	1
6	Calcineurin differentially regulates fast myosin heavy chain genes in oxidative muscle fibre type conversion 2007 ·Cell and Tissue Research ·Nuno da Costa, Julia M. Edgar, Peck Toung Ooi, Yuhong Su, J. Meißner, Kin‐Chow Chang	25
7	Associations of functional candidate genes derived from gene‐expression profiles of prenatal porcine muscle tissue with meat quality and muscle deposition 2007 ·Animal Genetics ·Klaus Wimmers, Eduard Muráni, M.F.W. te Pas, Kin‐Chow Chang, R. Davoli, J.W.M. Merks, (unknown), (unknown), Nuno da Costa, B. Harlizius, K. Schellander, (unknown), Silvia Braglia, A.A.C. de Wit, M. Cagnazzo, Luca Fontanesi, Daniel Prins, Siriluck Ponsuksili	62
8	Porcine congenital splayleg is characterised by muscle fibre atrophy associated with relative rise in MAFbx and fall in P311expression 2006 ·BMC Veterinary Research ·Peck Toung Ooi, Nuno da Costa, Julia M. Edgar, Kin‐Chow Chang	20
9	ANALYSIS OF EFFECTS OF GENES DIFFERENTIALLY EXPRESSED DURING MYOGENESIS ON PORK QUALITY 2005 ·Eduard Muráni, M.F.W. te Pas, (unknown), R. Davoli, J.W.M. Merks, (unknown), (unknown), (unknown), Siriluck Ponsuksili, K. Schellander, Nuno da Costa, Daniel Prins, B. Harlizius, E.F. Knol, M. Cagnazzo, Silvia Braglia, Klaus Wimmers	2
10	Effects of breed, diet and muscle on fat deposition and eating quality in pigs 2004 ·Meat Science ·J.D. Wood, G.R. Nute, R.I. Richardson, FM Whittington, O. I. Southwood, Graham Plastow, R J Mansbridge, Nuno da Costa, Kin‐Chow Chang	349
11	Restriction of Dietary Energy and Protein Induces Molecular Changes in Young Porcine Skeletal Muscles 2004 ·Journal of Nutrition ·Nuno da Costa, (unknown), (unknown), Kin‐Chow Chang, J.D. Wood, G. R. Evans	70
12	Cluster characterisation and temporal expression of porcine sarcomeric myosin heavy chain genes 2003 ·Journal of Muscle Research and Cell Motility ·Yuh-Man Sun, Nuno da Costa, Kin‐Chow Chang	9
13	Development of a porcine skeletal muscle cDNA microarray: analysis of differential transcript expression in phenotypically distinct muscles 2003 ·BMC Genomics ·(unknown), (unknown), Nuno da Costa, (unknown), G. R. Evans, M.J. Stear, Kin‐Chow Chang	67
14	Postnatal myosin heavy chain isoforms in prenatal porcine skeletal muscles: Insights into temporal regulation 2003 ·The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology ·Nuno da Costa, (unknown), Kin‐Chow Chang	18
15	Relationships of myosin heavy chain fibre types to meat quality traits in traditional and modern pigs 2002 ·Meat Science ·Kin‐Chow Chang, Nuno da Costa, (unknown), O. I. Southwood, G. R. Evans, Graham Plastow, J.D. Wood, R.I. Richardson	180
16	Quantifying the Temporospatial Expression of Postnatal Porcine Skeletal Myosin Heavy Chain Genes 2002 ·Journal of Histochemistry & Cytochemistry ·Nuno da Costa, (unknown), Hadi M. Alzuherri, Kin‐Chow Chang	50
17	Molecular and quantitative characterisation of the porcine embryonic myosin heavy chain gene 2001 ·Journal of Muscle Research and Cell Motility ·Yuh-Man Sun, Nuno da Costa, (unknown), Alan Archibald, Hadi M. Alzuherri, Kin‐Chow Chang	7
18	The 5′-end of the porcine perinatal myosin heavy chain gene shows alternative splicing and is clustered with repeat elements 2000 ·Journal of Muscle Research and Cell Motility ·Nuno da Costa, (unknown), I. H. Johnston, (unknown), Yuh-Man Sun, Kin‐Chow Chang	8
19	Structure-function studies of the adenylate cyclase toxin of Bordetella pertussis and the leukotoxin of Pasteurella haemolytica by heterologous C protein activation and construction of hybrid proteins 1997 ·Journal of Bacteriology ·Gareth D. Westrop, (unknown), Nuno da Costa, R. Parton, J. G. Coote	24

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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