Richard Planells

2.8k total citations
58 papers, 2.1k citations indexed

About

Richard Planells is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Richard Planells has authored 58 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 16 papers in Endocrinology, Diabetes and Metabolism and 13 papers in Epidemiology. Recurrent topics in Richard Planells's work include Diet and metabolism studies (8 papers), Thyroid Disorders and Treatments (7 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). Richard Planells is often cited by papers focused on Diet and metabolism studies (8 papers), Thyroid Disorders and Treatments (7 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). Richard Planells collaborates with scholars based in France, Ireland and United States. Richard Planells's co-authors include Denis Lairon, Serge Herçberg, Sandrine Bertrais, Marguerite Gastaldi, Catherine Defoort, Helen M. Roche, Catherine M. Phillips, Ross McManus, Henri Portugal and Janine Torrésani and has published in prestigious journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Analytical Biochemistry.

In The Last Decade

Richard Planells

58 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard Planells France 27 642 581 460 425 393 58 2.1k
Michael Lefevre United States 22 866 1.3× 856 1.5× 295 0.6× 534 1.3× 173 0.4× 50 2.6k
Antonio García‐Ríos Spain 29 492 0.8× 875 1.5× 717 1.6× 407 1.0× 257 0.7× 81 2.3k
Martin Osterhoff Germany 26 609 0.9× 755 1.3× 292 0.6× 298 0.7× 148 0.4× 59 2.2k
Kei Nakajima Japan 23 581 0.9× 512 0.9× 347 0.8× 206 0.5× 122 0.3× 128 2.2k
Heide S. Cross Austria 35 675 1.1× 309 0.5× 208 0.5× 700 1.6× 819 2.1× 73 3.2k
Po‐Chao Huang Taiwan 26 418 0.7× 407 0.7× 306 0.7× 545 1.3× 98 0.2× 91 1.8k
Sanaa Abuaysheh United States 21 639 1.0× 759 1.3× 151 0.3× 200 0.5× 193 0.5× 37 2.5k
PierMarco Piatti Italy 27 517 0.8× 1.0k 1.8× 270 0.6× 217 0.5× 135 0.3× 63 2.8k
Blaise C. Martin United States 21 699 1.1× 623 1.1× 394 0.9× 558 1.3× 289 0.7× 29 2.6k
Jean‐Michel Lecerf France 20 551 0.9× 327 0.6× 226 0.5× 362 0.9× 95 0.2× 121 1.6k

Countries citing papers authored by Richard Planells

Since Specialization
Citations

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

Fields of papers citing papers by Richard Planells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Planells

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

All Works

20 of 20 papers shown
1.
Phillips, Catherine M., Emmanuelle Kesse‐Guyot, Ross McManus, et al.. (2012). High Dietary Saturated Fat Intake Accentuates Obesity Risk Associated with the Fat Mass and Obesity-Associated Gene in Adults. Journal of Nutrition. 142(5). 824–831. 119 indexed citations
2.
Landrier, Jean‐François, Delphine Rousseau‐Ralliard, Alain Margotat, et al.. (2012). Beneficial effects of omega-3 fatty acids on the consequences of a fructose diet are not mediated by PPAR delta or PGC1 alpha. European Journal of Nutrition. 52(8). 1865–1874. 15 indexed citations
3.
Phillips, Catherine M., Louisa Goumidi, Sandrine Bertrais, et al.. (2011). Dietary saturated fat, gender and genetic variation at the TCF7L2 locus predict the development of metabolic syndrome. The Journal of Nutritional Biochemistry. 23(3). 239–244. 51 indexed citations
4.
Phillips, Catherine M., Louisa Goumidi, Sandrine Bertrais, et al.. (2010). Gene-nutrient interactions with dietary fat modulate the association between genetic variation of the ACSL1 gene and metabolic syndrome. Journal of Lipid Research. 51(7). 1793–1800. 50 indexed citations
5.
Phillips, Catherine M., Louisa Goumidi, Sandrine Bertrais, et al.. (2009). Dietary Saturated Fat Modulates the Association between STAT3 Polymorphisms and Abdominal Obesity in Adults ,. Journal of Nutrition. 139(11). 2011–2017. 38 indexed citations
6.
Ferguson, Jane F., Catherine M. Phillips, Audrey Tierney, et al.. (2009). Gene-nutrient interactions in the metabolic syndrome: single nucleotide polymorphisms in ADIPOQ and ADIPOR1interact with plasma saturated fatty acids to modulate insulin resistance. American Journal of Clinical Nutrition. 91(3). 794–801. 68 indexed citations
8.
Gastaldi, Marguerite, Catherine Defoort, Henri Portugal, et al.. (2007). Sex-specific association of fatty acid binding protein 2 and microsomal triacylglycerol transfer protein variants with response to dietary lipid changes in the 3-mo Medi-RIVAGE primary intervention study. American Journal of Clinical Nutrition. 86(6). 1633–1641. 14 indexed citations
9.
Lairon, Denis, Nathalie Arnault, Sandrine Bertrais, et al.. (2005). Dietary fiber intake and risk factors for cardiovascular disease in French adults. American Journal of Clinical Nutrition. 82(6). 1185–1194. 247 indexed citations
11.
Roche, Régis, Isabelle Poizot‐Martin, Emmanuel Compe, et al.. (2002). Effects of antiretroviral drug combinations on the differentiation of adipocytes. AIDS. 16(1). 13–20. 60 indexed citations
12.
Planells, Richard, Catherine Defoort, Marie‐Christine Bernard, et al.. (2002). Genetic polymorphisms and lipoprotein responses to diets. Proceedings of The Nutrition Society. 61(4). 427–434. 49 indexed citations
14.
Planells, Richard, et al.. (1999). HMG CoA Reductase and LDL Receptor Genes Are Regulated Differently by 15-Ketosterols in Hep G2 Cells. Biochemical and Biophysical Research Communications. 259(3). 688–694. 6 indexed citations
15.
Dace, Alexandra, et al.. (1997). Calcitriol Is a Positive Effector of Adipose Differentiation in the OB 17 Cell Line: Relationship with the Adipogenic Action of Triiodothyronine. Biochemical and Biophysical Research Communications. 232(3). 771–776. 41 indexed citations
16.
Grillasca, Joël-Paul, Marguerite Gastaldi, Hacène Khiri, et al.. (1997). Cloning and initial characterization of human and mouse Spot 14 genes1. FEBS Letters. 401(1). 38–42. 24 indexed citations
17.
Taviaux, Sylvie, et al.. (1997). Assignment of thyroid hormone responsive SPOT 14 homolog (THRSP) to human chromosome 11 bands q13.5→q14.1 by in situ hybridization. Cytogenetic and Genome Research. 76(3-4). 219–220. 4 indexed citations
18.
Khiri, Hacène, et al.. (1996). Quantitative multistandard RT-PCR assay using interspecies polymorphism. Molecular and Cellular Probes. 10(3). 201–211. 21 indexed citations
20.

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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