Hervé Tricoire

2.5k total citations
63 papers, 2.0k citations indexed

About

Hervé Tricoire is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Nuclear and High Energy Physics. According to data from OpenAlex, Hervé Tricoire has authored 63 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 12 papers in Nuclear and High Energy Physics. Recurrent topics in Hervé Tricoire's work include Mitochondrial Function and Pathology (10 papers), Genetic Neurodegenerative Diseases (10 papers) and Genetics, Aging, and Longevity in Model Organisms (9 papers). Hervé Tricoire is often cited by papers focused on Mitochondrial Function and Pathology (10 papers), Genetic Neurodegenerative Diseases (10 papers) and Genetics, Aging, and Longevity in Model Organisms (9 papers). Hervé Tricoire collaborates with scholars based in France, United States and Germany. Hervé Tricoire's co-authors include Véronique Monnier, Fabrice Girardot, Denise Busson, Bernadette Limbourg‐Bouchon, Pascal P. Thérond, Christelle Lasbleiz, Claudie Lamour‐Isnard, Thomas Préat, Michaël Rera and Georges Alves and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Hervé Tricoire

63 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
Hervé Tricoire France 27 1.2k 454 286 253 238 63 2.0k
Helen Nichol Canada 21 594 0.5× 234 0.5× 19 0.1× 89 0.4× 172 0.7× 30 1.4k
Jonathan Heller United States 10 568 0.5× 177 0.4× 393 1.4× 46 0.2× 140 0.6× 11 1.2k
Tomoo Funayama Japan 26 959 0.8× 49 0.1× 85 0.3× 211 0.8× 57 0.2× 100 2.3k
D A Goodenough United States 31 4.4k 3.6× 491 1.1× 29 0.1× 516 2.0× 72 0.3× 38 5.1k
Molly Hammell United States 29 2.5k 2.1× 47 0.1× 173 0.6× 399 1.6× 149 0.6× 44 3.5k
Manuel D. Leonetti United States 20 2.2k 1.8× 364 0.8× 123 0.4× 219 0.9× 100 0.4× 33 2.7k
Krishanu Ray India 23 831 0.7× 272 0.6× 28 0.1× 352 1.4× 110 0.5× 76 1.7k
Mark S. Hipp Germany 29 4.4k 3.6× 843 1.9× 381 1.3× 249 1.0× 287 1.2× 40 5.7k
Luca Crepaldi Italy 19 961 0.8× 338 0.7× 50 0.2× 199 0.8× 179 0.8× 31 1.5k
Ran Kafri United States 17 2.2k 1.8× 92 0.2× 57 0.2× 250 1.0× 99 0.4× 26 3.0k

Countries citing papers authored by Hervé Tricoire

Since Specialization
Citations

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

Fields of papers citing papers by Hervé Tricoire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hervé Tricoire

This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Tricoire. A scholar is included among the top collaborators of Hervé Tricoire 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 Hervé Tricoire. Hervé Tricoire 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.
Martin, Elodie, et al.. (2021). Genetic Screen in Adult Drosophila Reveals That dCBP Depletion in Glial Cells Mitigates Huntington Disease Pathology through a Foxo-Dependent Pathway. International Journal of Molecular Sciences. 22(8). 3884–3884. 6 indexed citations
2.
3.
Torres, Magali, Arnaud Defaye, Denis Seyres, et al.. (2017). Interplay between trauma and Pseudomonas entomophila infection in flies: a central role of the JNK pathway and of CrebA. Scientific Reports. 7(1). 16222–16222. 6 indexed citations
4.
Tricoire, Hervé & Michaël Rera. (2015). A New, Discontinuous 2 Phases of Aging Model: Lessons from Drosophila melanogaster. PLoS ONE. 10(11). e0141920–e0141920. 26 indexed citations
5.
Tricoire, Hervé, et al.. (2015). Drosophila Models of Alzheimer's Disease: Advances, Limits, and Perspectives. Journal of Alzheimer s Disease. 45(4). 1015–1038. 55 indexed citations
6.
L’Hôte, David, et al.. (2015). Frataxin inactivation leads to steroid deficiency in flies and human ovarian cells. Human Molecular Genetics. 24(9). 2615–2626. 26 indexed citations
7.
Seguin, Alexandra, Véronique Monnier, Frédéric Bihel, et al.. (2015). A Yeast/DrosophilaScreen to Identify New Compounds Overcoming Frataxin Deficiency. Oxidative Medicine and Cellular Longevity. 2015. 1–10. 13 indexed citations
8.
Tricoire, Hervé, et al.. (2013). Methylene blue rescues heart defects in a Drosophila model of Friedreich's ataxia. Human Molecular Genetics. 23(4). 968–979. 30 indexed citations
9.
Monnier, Véronique, Magali Iché-Torres, Michaël Rera, et al.. (2012). dJun and Vri/dNFIL3 Are Major Regulators of Cardiac Aging in Drosophila. PLoS Genetics. 8(11). e1003081–e1003081. 42 indexed citations
10.
Latouche, Morwena, Christelle Lasbleiz, Elodie Martin, et al.. (2007). A Conditional Pan-NeuronalDrosophilaModel of Spinocerebellar Ataxia 7 with a Reversible Adult Phenotype Suitable for Identifying Modifier Genes. Journal of Neuroscience. 27(10). 2483–2492. 70 indexed citations
11.
Brun, Sylvain, Sheila Vidal, Paul T. Spellman, et al.. (2006). The MAPKKK Mekk1 regulates the expression of Turandot stress genes in response to septic injury in Drosophila. Genes to Cells. 11(4). 397–407. 71 indexed citations
12.
Girardot, Fabrice, Christelle Lasbleiz, Véronique Monnier, & Hervé Tricoire. (2006). Specific age related signatures in Drosophila body parts transcriptome. BMC Genomics. 7(1). 69–69. 88 indexed citations
13.
Monnier, Véronique, et al.. (2002). Control of oxidative stress resistance by IP3 kinase in Drosophila melanogaster. Free Radical Biology and Medicine. 33(9). 1250–1259. 33 indexed citations
14.
Monnier, Véronique, et al.. (2002). Modulation of oxidative stress resistance in drosophila melanogaster by gene overexpression. genesis. 34(1-2). 76–79. 17 indexed citations
15.
Alves, Georges, et al.. (1998). Modulation of Hedgehog target gene expression by the Fused serine–threonine kinase in wing imaginal discs. Mechanisms of Development. 78(1-2). 17–31. 96 indexed citations
16.
Charon, Y., et al.. (1997). Quantitative Nuclear Imaging in Biology. Annales de Physique. 22(6). 707–770. 7 indexed citations
17.
Mettouchi, Amel, Florence Cabon, Nicole Montreau, et al.. (1994). SPARC and thrombospondin genes are repressed by the c-jun oncogene in rat embryo fibroblasts.. The EMBO Journal. 13(23). 5668–5678. 88 indexed citations
18.
Charon, Y., P. Lanièce, J.-M. Gaillard, et al.. (1991). A self triggered intensified CCD (STIC). Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 310(1-2). 379–384. 16 indexed citations
19.
Préat, Thomas, Pascal P. Thérond, Bernadette Limbourg‐Bouchon, et al.. (1990). A putative serine/threonine protein kinase encoded by the segment-polarity fused gene of Drosophila. Nature. 347(6288). 87–89. 136 indexed citations
20.
Tricoire, Hervé. (1984). Competition between inertial and PEP emission in incomplete fusion reactions. The European Physical Journal A. 317(3). 347–355. 9 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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