Florent Letronne

851 total citations
8 papers, 258 citations indexed

About

Florent Letronne is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Florent Letronne has authored 8 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Surgery. Recurrent topics in Florent Letronne's work include Cholesterol and Lipid Metabolism (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Florent Letronne is often cited by papers focused on Cholesterol and Lipid Metabolism (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Florent Letronne collaborates with scholars based in United States, United Kingdom and France. Florent Letronne's co-authors include Iliya Lefterov, Radosveta Koldamova, Nicholas F. Fitz, Kyong Nyon Nam, Cody M. Wolfe, Xianlin Han, Jonathan Schug, Emilie L. Castranio, Anaïs Mounier and Takashi D.Y. Kozai and has published in prestigious journals such as Nature Communications, PLoS ONE and PLoS Biology.

In The Last Decade

Florent Letronne

8 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florent Letronne United States	8	121	104	96	48	37	8	258
Man Ying Wong United States	6	90 0.7×	104 1.0×	78 0.8×	52 1.1×	42 1.1×	9	228
Rosalía Fernández‐Calle Spain	9	105 0.9×	98 0.9×	156 1.6×	47 1.0×	49 1.3×	14	332
Emilie L. Castranio United States	10	158 1.3×	114 1.1×	190 2.0×	42 0.9×	70 1.9×	10	390
Maria Weinert United Kingdom	7	77 0.6×	108 1.0×	103 1.1×	26 0.5×	42 1.1×	10	245
Guro Berge Norway	11	207 1.7×	67 0.6×	72 0.8×	31 0.6×	34 0.9×	15	341
Justin Miron Canada	7	134 1.1×	69 0.7×	86 0.9×	33 0.7×	22 0.6×	11	235
Emma Mead United Kingdom	9	65 0.5×	139 1.3×	95 1.0×	86 1.8×	36 1.0×	11	290
Peter Bor‐Chian Lin United States	10	185 1.5×	201 1.9×	158 1.6×	63 1.3×	42 1.1×	27	434
Prageeth R. Wijewardhane United States	3	99 0.8×	205 2.0×	156 1.6×	55 1.1×	78 2.1×	4	405

Countries citing papers authored by Florent Letronne

Since Specialization

Citations

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

Fields of papers citing papers by Florent Letronne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florent Letronne

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

All Works

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8 of 8 papers shown

Letronne, Florent, et al.. (2023). Support academic access to automated cloud labs to improve reproducibility. PLoS Biology. 21(1). e3001919–e3001919. 7 indexed citations

Fitz, Nicholas F., Kyong Nyon Nam, Cody M. Wolfe, et al.. (2021). Phospholipids of APOE lipoproteins activate microglia in an isoform-specific manner in preclinical models of Alzheimer’s disease. Nature Communications. 12(1). 3416–3416. 90 indexed citations

Lefterov, Iliya, Cody M. Wolfe, Nicholas F. Fitz, et al.. (2019). APOE2 orchestrated differences in transcriptomic and lipidomic profiles of postmortem AD brain. Alzheimer s Research & Therapy. 11(1). 113–113. 53 indexed citations

Vandenberghe, Michel E., Anne‐Sophie Hérard, Florent Letronne, et al.. (2018). Voxel-Based Statistical Analysis of 3D Immunostained Tissue Imaging. Frontiers in Neuroscience. 12. 754–754. 7 indexed citations

Castranio, Emilie L., Cody M. Wolfe, Kyong Nyon Nam, et al.. (2018). ABCA1 haplodeficiency affects the brain transcriptome following traumatic brain injury in mice expressing human APOE isoforms. Acta Neuropathologica Communications. 6(1). 69–69. 16 indexed citations

Nam, Kyong Nyon, Cody M. Wolfe, Nicholas F. Fitz, et al.. (2017). Integrated approach reveals diet, APOE genotype and sex affect immune response in APP mice. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(1). 152–161. 22 indexed citations

Letronne, Florent, Nicholas F. Fitz, Anaïs Mounier, et al.. (2017). Liver X receptor agonist treatment significantly affects phenotype and transcriptome of APOE3 and APOE4 Abca1 haplo-deficient mice. PLoS ONE. 12(2). e0172161–e0172161. 19 indexed citations

Castranio, Emilie L., Anaïs Mounier, Cody M. Wolfe, et al.. (2017). Gene co-expression networks identify Trem2 and Tyrobp as major hubs in human APOE expressing mice following traumatic brain injury. Neurobiology of Disease. 105. 1–14. 44 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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