Maxime Teixeira

450 total citations
10 papers, 240 citations indexed

About

Maxime Teixeira is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Maxime Teixeira has authored 10 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Maxime Teixeira's work include Parkinson's Disease Mechanisms and Treatments (3 papers), Neuroscience and Neural Engineering (3 papers) and Pluripotent Stem Cells Research (2 papers). Maxime Teixeira is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Neuroscience and Neural Engineering (3 papers) and Pluripotent Stem Cells Research (2 papers). Maxime Teixeira collaborates with scholars based in Canada, France and United Kingdom. Maxime Teixeira's co-authors include Abid Oueslati, Razan Sheta, Michael Antoniou, Romy D. Zwittink, Quinten R. Ducarmon, Fiorella Belpoggi, Laura Falcioni, Daniele Mandrioli, Caroline Amiel and Jean-Michel Panoff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Health Perspectives.

In The Last Decade

Maxime Teixeira

9 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maxime Teixeira Canada	7	81	79	69	51	32	10	240
Madalina Andreea Robea Romania	10	66 0.8×	50 0.6×	48 0.7×	15 0.3×	16 0.5×	21	366
Rekek Negga United States	8	129 1.6×	132 1.7×	85 1.2×	8 0.2×	10 0.3×	8	323
Joseph Kochmanski United States	14	20 0.2×	49 0.6×	165 2.4×	81 1.6×	50 1.6×	23	393
David de Pomerai United Kingdom	10	12 0.1×	37 0.5×	101 1.5×	17 0.3×	24 0.8×	16	318
Débora Dreher Nabinger Brazil	9	80 1.0×	33 0.4×	74 1.1×	11 0.2×	23 0.7×	21	403
Michelle Leemans France	9	39 0.5×	63 0.8×	76 1.1×	7 0.1×	11 0.3×	21	339
Yassine Ait-Bali Morocco	7	232 2.9×	211 2.7×	85 1.2×	7 0.1×	16 0.5×	8	410
Sergio H. Simonetta Argentina	11	10 0.1×	40 0.5×	106 1.5×	13 0.3×	48 1.5×	14	411
Jiayin Zhao China	8	13 0.2×	77 1.0×	76 1.1×	11 0.2×	16 0.5×	18	229

Countries citing papers authored by Maxime Teixeira

Since Specialization

Citations

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

Fields of papers citing papers by Maxime Teixeira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Teixeira

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

All Works

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10 of 10 papers shown

Teixeira, Maxime, et al.. (2025). Combining light-induced aggregation and biotin proximity labeling implicates endolysosomal proteins in early α-synuclein oligomerization. iScience. 28(7). 112823–112823.

Khan, Mehtab, Razan Sheta, Stéphanie Jean, et al.. (2023). Aggregation of alpha-synuclein disrupts mitochondrial metabolism and induce mitophagy via cardiolipin externalization. Cell Death and Disease. 14(11). 729–729. 35 indexed citations

Teixeira, Maxime, et al.. (2023). Optogenetic-mediated induction and monitoring of α-synuclein aggregation in cellular models of Parkinson’s disease. STAR Protocols. 4(4). 102738–102738. 1 indexed citations

Sheta, Razan, et al.. (2023). Optimized protocol for the generation of functional human induced-pluripotent-stem-cell-derived dopaminergic neurons. STAR Protocols. 4(3). 102486–102486. 7 indexed citations

Sheta, Razan, Maxime Teixeira, Aurélie de Rus Jacquet, et al.. (2022). Combining NGN2 programming and dopaminergic patterning for a rapid and efficient generation of hiPSC-derived midbrain neurons. Scientific Reports. 12(1). 17176–17176. 9 indexed citations

Teixeira, Maxime, et al.. (2022). Development of a methodology from LCA to a multi-criteria approach: application to electricity transition in France. SHILAP Revista de lepidopterología. 349. 7003–7003. 1 indexed citations

Mesnage, Robin, Maxime Teixeira, Daniele Mandrioli, et al.. (2021). Multi-omics phenotyping of the gut-liver axis reveals metabolic perturbations from a low-dose pesticide mixture in rats. Communications Biology. 4(1). 471–471. 39 indexed citations

Mesnage, Robin, Maxime Teixeira, Daniele Mandrioli, et al.. (2021). Use of Shotgun Metagenomics and Metabolomics to Evaluate the Impact of Glyphosate or Roundup MON 52276 on the Gut Microbiota and Serum Metabolome of Sprague-Dawley Rats. Environmental Health Perspectives. 129(1). 17005–17005. 109 indexed citations

Beyeler, Anna, Anes Ju, Abdeslam Chagraoui, et al.. (2021). Multiple facets of serotonergic modulation. Progress in brain research. 261. 3–39. 9 indexed citations

10.

Teixeira, Maxime, et al.. (2021). Alpha-Synuclein and the Endolysosomal System in Parkinson’s Disease: Guilty by Association. Biomolecules. 11(9). 1333–1333. 30 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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