Cláudia P. Grou

2.3k citations
29 papers · 1.6k indexed · h-index 24
    • Peroxisome Proliferator-Activated Receptors 20
    • Ubiquitin and proteasome pathways 11
    • RNA Research and Splicing 8
    • Glycosylation and Glycoproteins Research 3
    • RNA modifications and cancer 3
  • Immunology top 10%
    • interferon and immune responses 4
  • Physiology top 5%
    • Adipose Tissue and Metabolism 3
  • Biochemistry top 10%
    • Cancer, Hypoxia, and Metabolism 4

Cláudia P. Grou

29 papers receiving 1.6k citations

Peers

Cláudia P. Grou
Comparison fields: 5 of 78
  • Molecular Biology 1.4k
  • Immunology 301
  • Physiology 59
  • Aquatic Science 67
  • Biochemistry 64
Replace Rumi Ishisaka with:
Rumi Ishisaka Japan
Patrycja A. Krawczyk United Kingdom
Elena L. Rudashevskaya Austria
J Sommercorn United States
Przemyslaw A. Filipek Austria
Joanne M. Nickol United States
Yoichiro Harada Japan
Jessica L. Counihan United States
Carolina Lobo Spain
Anne E. Solheim Norway
Cláudia P. Grou relative to Rumi Ishisaka Japan Rumi Ishisaka's profile →
Citations per field
00.5×10×12.9×
Rumi Ishisaka · 1×
Citations per year

Countries citing papers authored by Cláudia P. Grou

Since Specialization
Citations

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

Fields of papers citing papers by Cláudia P. Grou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cláudia P. Grou. 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 Cláudia P. Grou. The network helps show where Cláudia P. Grou may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202149
2 201834
3 20173
4 201612
5 201533
6 201585
7 201520
8 201530
9 201343
10 201334
11 201367
12 201281
13 201177
14 200922
15 200971
16 2007148
17 2007189
18 200650
19 200568
20 2005107

About Cláudia P. Grou

Cláudia P. Grou is a scholar working on Physiology, Molecular Biology and Cancer Research, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (20 papers), Ubiquitin and proteasome pathways (11 papers), RNA Research and Splicing (8 papers), interferon and immune responses (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Glycosylation and Glycoproteins Research (3 papers), Adipose Tissue and Metabolism (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Immunology (301 citations) and Physiology (59 citations). Cláudia P. Grou has collaborated with scholars based in Portugal, Belgium and Netherlands. Frequent co-authors include Jorge E. Azevedo, Manuel P. Pinto, Clara Sá-Miranda, Andreia F. Carvalho, Marc Fransen, Tony A. Rodrigues, Inês S. Alencastre, Tânia Francisco, Pedro Domíngues and Anja J. Taverne-Thiele. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

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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