Clara Prats

3.1k citations
54 papers · 2.4k · h-index 29

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 10
    • Mitochondrial Function and Pathology 8
    • Muscle Physiology and Disorders 6
    • Adipose Tissue and Metabolism 19

Clara Prats

53 papers receiving 2.3k citations

Peers

Clara Prats
Comparison fields: 5 of 106
  • Geriatrics and Gerontology 148
  • Physiology 941
  • Cell Biology 460
  • Rehabilitation 156
  • Aging 39
Replace Jesper B. Birk with:
Jesper B. Birk Denmark
Atul S. Deshmukh Denmark
Lykke Sylow Denmark
Emanuele Loro United States
Vladimir Ljubicic Canada
Isabella Irrcher Canada
Peirang Cao United States
María Isabel Hernández‐Álvarez Spain
Catherine R. Dufour Canada
Jérôme Piquereau France
Clara Prats relative to Jesper B. Birk Denmark Jesper B. Birk's profile →
Citations per field
00.5×1.5×
Jesper B. Birk · 1×
Citations per year

Countries citing papers authored by Clara Prats

Since Specialization
Citations

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

Fields of papers citing papers by Clara Prats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Clara Prats, 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 Clara Prats Line = papers co-authored together Clara Prats links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013158
2 2018125
3 2007122
4 2013122
5 2012109
6 2019103
7 201594
8 200189
9 200683
10 200676
11 201472
12 201771
13 200669
14 201067
15 201966
16 200966
17 201365
18 200555
19 201354
20 201353

About Clara Prats

Clara Prats is a scholar working on Molecular Biology, Physiology, Cell Biology, Surgery and Epidemiology, having authored 54 papers that have together received 2.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (19 papers), Metabolism, Diabetes, and Cancer (10 papers), Muscle metabolism and nutrition (9 papers), Mitochondrial Function and Pathology (8 papers), Pancreatic function and diabetes (7 papers), Muscle Physiology and Disorders (6 papers), Lipid metabolism and biosynthesis (5 papers) and Glycogen Storage Diseases and Myoclonus (4 papers). The work is most often cited by research in Geriatrics and Gerontology (148 citations), Physiology (941 citations), Cell Biology (460 citations), Rehabilitation (156 citations) and Aging (39 citations). Clara Prats has collaborated with scholars based in Denmark, Spain and United States. Frequent co-authors include Thorkil Ploug, Flemming Dela, Jørn Wulff Helge, Jørgen F. P. Wojtaszewski, Klaus Qvortrup, Lykke Sylow, Erik A. Richter, Maximilian Kleinert, Jane Shearer and Thomas E. Jensen. Their work appears in journals such as Diabetes, The Journal of Physiology, Journal of Biological Chemistry, Journal of Lipid Research and Experimental Gerontology.

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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