Nicolas Pallet

14.9k total citations
123 papers, 3.4k citations indexed

About

Nicolas Pallet is a scholar working on Molecular Biology, Transplantation and Surgery. According to data from OpenAlex, Nicolas Pallet has authored 123 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 36 papers in Transplantation and 29 papers in Surgery. Recurrent topics in Nicolas Pallet's work include Renal Transplantation Outcomes and Treatments (36 papers), Endoplasmic Reticulum Stress and Disease (15 papers) and Renal Diseases and Glomerulopathies (14 papers). Nicolas Pallet is often cited by papers focused on Renal Transplantation Outcomes and Treatments (36 papers), Endoplasmic Reticulum Stress and Disease (15 papers) and Renal Diseases and Glomerulopathies (14 papers). Nicolas Pallet collaborates with scholars based in France, United States and Switzerland. Nicolas Pallet's co-authors include Christophe Legendre, Éric Thervet, Dany Anglicheau, Philippe Beaune, Sophie Fougeray, Marion Rabant, Nicolas Bouvier, Marie‐Anne Loriot, Éric Thervet and Alexandre Karras and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Nicolas Pallet

116 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Pallet France 34 1.2k 721 709 613 613 123 3.4k
James Pullman United States 30 1.8k 1.5× 368 0.5× 306 0.4× 561 0.9× 1.4k 2.3× 65 4.0k
Paul C. Grimm United States 28 489 0.4× 316 0.4× 1.4k 2.0× 1.0k 1.7× 680 1.1× 103 3.2k
Faikah Gueler Germany 34 751 0.6× 261 0.4× 319 0.4× 581 0.9× 650 1.1× 91 3.2k
Takeshi F. Andoh United States 32 794 0.6× 342 0.5× 1.4k 2.0× 939 1.5× 760 1.2× 69 3.7k
Robert Öllinger Germany 28 1.3k 1.0× 331 0.5× 392 0.6× 1.0k 1.7× 78 0.1× 135 3.0k
Friedrich Thaiss Germany 35 1.2k 1.0× 422 0.6× 317 0.4× 577 0.9× 1.3k 2.1× 116 4.9k
Nike Claessen Netherlands 34 1.3k 1.1× 397 0.6× 144 0.2× 473 0.8× 911 1.5× 90 3.5k
Hamid Rabb United States 31 733 0.6× 255 0.4× 784 1.1× 830 1.4× 976 1.6× 65 3.2k
Núria Lloberas Spain 29 539 0.4× 299 0.4× 771 1.1× 666 1.1× 439 0.7× 97 2.3k
Christian Rosenberger Germany 36 1.6k 1.3× 323 0.4× 117 0.2× 622 1.0× 1.6k 2.6× 81 5.0k

Countries citing papers authored by Nicolas Pallet

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Pallet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Pallet

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Pallet. A scholar is included among the top collaborators of Nicolas Pallet 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 Nicolas Pallet. Nicolas Pallet 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.
Pischik, Elena, et al.. (2024). Long‐term complications in acute porphyria. Liver International. 44(9). 2197–2207.
2.
Cheval, Lydie, Virginie Poindessous, Júlio L. Sampaio, Gilles Crambert, & Nicolas Pallet. (2024). Lipidomic Profiling of Kidney Cortical Tubule Segments Identifies Lipotypes with Physiological Implications. Function. 5(4). 1 indexed citations
3.
Zaanan, Aziz, et al.. (2024). A fatal case of 5-FU toxicity despite dose adjustment in a patient with a partial DPD deficiency receiving the FLOT regimen. European Journal of Cancer. 205. 114102–114102.
4.
Huillard, Olivier, Nihel Khoudour, Benoı̂t Blanchet, et al.. (2023). Cardiac toxicity associated with pharmacokinetic drug–drug interaction between crizotinib and sofosbuvir/velpatasvir: A case report. British Journal of Clinical Pharmacology. 89(4). 1486–1490. 3 indexed citations
5.
6.
7.
Étienne-Grimaldi, Marie-Christine, Nicolas Pallet, Valérie Boige, et al.. (2022). Current diagnostic and clinical issues of screening for dihydropyrimidine dehydrogenase deficiency. European Journal of Cancer. 181. 3–17. 19 indexed citations
8.
Rinaldi, Anna Maria, Hélène Lazareth, Virginie Poindessous, et al.. (2022). Impaired fatty acid metabolism perpetuates lipotoxicity along the transition to chronic kidney injury. JCI Insight. 7(18). 35 indexed citations
9.
Bignon, Yohan, Anna Maria Rinaldi, Virginie Poindessous, et al.. (2021). Cell stress response impairs de novo NAD+ biosynthesis in the kidney. JCI Insight. 7(1). 33 indexed citations
10.
Thomas, Fabienne, Manon Launay, Camille Tron, et al.. (2021). Artificial increase of uracilemia during fluoropyrimidine treatment can lead to DPD deficiency misinterpretation. Annals of Oncology. 32(6). 810–811. 11 indexed citations
11.
Lazareth, Hélène, Yohan Bignon, Marion Rabant, et al.. (2021). Renal Function Decline Under Therapy With Small Interfering RNA Silencing ALAS1 for Acute Intermittent Porphyria. Kidney International Reports. 6(7). 1904–1911. 26 indexed citations
12.
Pallet, Nicolas, Jean‐Philippe Bastard, Sophie Claeyssens, et al.. (2019). Proteinuria typing: how, why and for whom?. Annales de biologie clinique. 77(1). 13–25. 4 indexed citations
13.
Poindessous, Virginie, Irène Ceballos-Picot, Pierre Laurent‐Puig, et al.. (2017). A comprehensive characterization of the impact of mycophenolic acid on the metabolism of Jurkat T cells. Scientific Reports. 7(1). 10550–10550. 12 indexed citations
14.
Flahault, Adrien, Marie Metzger, Jean-François Chassé, et al.. (2016). Low Serum Creatine Kinase Level Predicts Mortality in Patients with a Chronic Kidney Disease. PLoS ONE. 11(6). e0156433–e0156433. 14 indexed citations
15.
Poindessous, Virginie, et al.. (2016). The effect of immunosuppressive molecules on T-cell metabolic reprogramming. Biochimie. 127. 23–36. 43 indexed citations
16.
Pallet, Nicolas, Anne‐Sophie Jannot, Isabelle Étienne, et al.. (2015). Kidney Transplant Recipients Carrying the CYP3A4*22 Allelic Variant Have Reduced Tacrolimus Clearance and Often Reach Supratherapeutic Tacrolimus Concentrations. American Journal of Transplantation. 15(3). 800–805. 54 indexed citations
17.
Fournier, Catherine, Nicolas Pallet, Sylvie Pucheu, et al.. (2012). Very long-term follow-up of living kidney donors. Transplant International. 25(4). 385–390. 47 indexed citations
18.
Pallet, Nicolas & Christophe Legendre. (2012). Adverse events associated with mTOR inhibitors. Expert Opinion on Drug Safety. 12(2). 177–186. 157 indexed citations
19.
Pallet, Nicolas & Éric Thervet. (2011). The genetics of kidney transplantation. Human Genetics. 131(3). 317–323. 4 indexed citations
20.
Sberro‐Soussan, Rébecca, Julien Zuber, Caroline Suberbielle‐Boissel, et al.. (2010). Bortezomib as the Sole Post‐Renal Transplantation Desensitization Agent Does Not Decrease Donor‐Specific Anti‐HLA Antibodies. American Journal of Transplantation. 10(3). 681–686. 85 indexed citations

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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