Núria Casals

86 papers receiving 3.1k citations

Peers

Núria Casals
Comparison fields: 5 of 121
  • Clinical Biochemistry 495
  • Endocrine and Autonomic Systems 396
  • Physiology 936
  • Molecular Biology 1.4k
  • Cancer Research 265
Replace David Sebastián with:
David Sebastián Spain
Kyunghee Byun South Korea
Ian R. Sweet United States
Yoko Ozawa Japan
Jonathon L. Burman United States
Asimina Hiona United States
Julien Puyal Switzerland
Francesca Luchetti Italy
Emanuele Loro United States
Christopher J. Lelliott United Kingdom
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Núria Casals

Since Specialization
Citations

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

Fields of papers citing papers by Núria Casals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Núria Casals, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Núria Casals Line = papers co-authored together Núria Casals links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014191
2 2015161
3 2008152
4 2017148
5 2015117
6 2020110
7 2012100
8 201699
9 201493
10 201093
11 201692
12 201385
13 201178
14 199273
15 201268
16 201063
17 202063
18 200362
19 201152
20 201946

About Núria Casals

Núria Casals is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 90 papers that have together received 3.1k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (28 papers), Adipose Tissue and Metabolism (17 papers), Mitochondrial Function and Pathology (15 papers), Regulation of Appetite and Obesity (13 papers), Diet and metabolism studies (12 papers), Peroxisome Proliferator-Activated Receptors (10 papers), Biochemical Analysis and Sensing Techniques (8 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Clinical Biochemistry (495 citations), Endocrine and Autonomic Systems (396 citations), Physiology (936 citations), Molecular Biology (1.4k citations) and Cancer Research (265 citations). Núria Casals has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Dolors Serra, Fausto G. Hegardt, Rosalía Rodríguez‐Rodríguez, Laura Herrero, Rut Fadó, Patricia Carrasco, Juan Pié, Josep Clotet, Miguel López and Federico Hernández‐Alfaro. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, International Journal of Molecular Sciences, Scientific Reports and Archives of Biochemistry and Biophysics.

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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