Germain U. Busto

517 total citations
18 papers, 361 citations indexed

About

Germain U. Busto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Germain U. Busto has authored 18 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Psychiatry and Mental health. Recurrent topics in Germain U. Busto's work include Dementia and Cognitive Impairment Research (5 papers), Neurobiology and Insect Physiology Research (5 papers) and Plant Molecular Biology Research (5 papers). Germain U. Busto is often cited by papers focused on Dementia and Cognitive Impairment Research (5 papers), Neurobiology and Insect Physiology Research (5 papers) and Plant Molecular Biology Research (5 papers). Germain U. Busto collaborates with scholars based in France, United States and Spain. Germain U. Busto's co-authors include Ronald L. Davis, Isaac Cervantes-Sandoval, Tugba Guven-Ozkan, David Van Vactor, Tudor A. Fulga, Ying Tan, Dinghui Yu, Diane K. O’Dowd, Nathalie Mandairon and Florence Kermen and has published in prestigious journals such as Genetics, Developmental Biology and Current Opinion in Neurobiology.

In The Last Decade

Germain U. Busto

16 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Germain U. Busto France 10 192 131 89 56 53 18 361
Yishan Sun China 7 246 1.3× 140 1.1× 150 1.7× 85 1.5× 53 1.0× 16 421
Indulekha P. Sudhakaran Qatar 12 281 1.5× 319 2.4× 115 1.3× 60 1.1× 45 0.8× 14 584
Aoife Larkin Ireland 8 315 1.6× 162 1.2× 112 1.3× 76 1.4× 58 1.1× 8 468
Damiano Zanini Italy 13 171 0.9× 176 1.3× 74 0.8× 38 0.7× 44 0.8× 17 399
John Anthony Lee India 4 220 1.1× 120 0.9× 76 0.9× 60 1.1× 47 0.9× 4 317
Joshua A. Ainsley United States 8 240 1.3× 155 1.2× 59 0.7× 29 0.5× 43 0.8× 8 392
Sudeshna Das Chakraborty Germany 7 364 1.9× 199 1.5× 174 2.0× 103 1.8× 81 1.5× 9 504
Jaejung Lee South Korea 7 350 1.8× 104 0.8× 62 0.7× 34 0.6× 55 1.0× 8 468
Yanqiong Zhou China 7 229 1.2× 89 0.7× 88 1.0× 76 1.4× 46 0.9× 8 321
Ana Depetris-Chauvin Germany 10 288 1.5× 245 1.9× 87 1.0× 58 1.0× 90 1.7× 13 626

Countries citing papers authored by Germain U. Busto

Since Specialization
Citations

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

Fields of papers citing papers by Germain U. Busto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Germain U. Busto. 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 Germain U. Busto. The network helps show where Germain U. Busto may publish in the future.

Co-authorship network of co-authors of Germain U. Busto

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

All Works

18 of 18 papers shown
1.
Busto, Germain U., Christophe Hirtz, Isabelle Carrière, et al.. (2025). A six-year risk assessment for dementia and Alzheimer's disease in the general population through immunoprecipitation-mass spectrometry plasma amyloid quantification. The Journal of Prevention of Alzheimer s Disease. 12(7). 100186–100186.
2.
Delaby, Constance, Daniel Alcolea, Germain U. Busto, et al.. (2025). Plasma Hepcidin as a potential informative biomarker of Alzheimer disease and vascular dementia. Alzheimer s Research & Therapy. 17(1). 42–42. 3 indexed citations
3.
Delaby, Constance, Audrey Gabelle, Germain U. Busto, et al.. (2025). Impact of preanalytical delay on the performance of plasma Aβ42, Aβ42/40, p‐tau217, and p‐tau217/Aβ42 in detecting brain amyloidosis in the ALZAN cohort. Alzheimer s & Dementia. 21(11). e70867–e70867.
4.
Lehmann, Sylvain, Audrey Gabelle, Germain U. Busto, et al.. (2025). Comparative performance of plasma pTau181/Aβ42, pTau217/Aβ42 ratios, and individual measurements in detecting brain amyloidosis. EBioMedicine. 117. 105805–105805. 4 indexed citations
5.
Bennys, Karim, Germain U. Busto, & Jacques Touchon. (2023). Cumulative effects of subsequent concussions on the neural patterns of young rugby athletes: data from event-related potentials. Research in Sports Medicine. 32(4). 609–620. 2 indexed citations
6.
Hirtz, Christophe, Germain U. Busto, Karim Bennys, et al.. (2023). Comparison of ultrasensitive and mass spectrometry quantification of blood-based amyloid biomarkers for Alzheimer’s disease diagnosis in a memory clinic cohort. Alzheimer s Research & Therapy. 15(1). 34–34. 14 indexed citations
7.
Mangin, Jean‐François, Jérémy Deverdun, Laure‐Anne Gutierrez, et al.. (2023). Impact of multidomain preventive strategies on functional brain connectivity in older adults with cognitive complaint: Subset from the Montpellier center of the ancillary MAPT-MRI study. Frontiers in Aging Neuroscience. 14. 971220–971220. 1 indexed citations
8.
Busto, Germain U., et al.. (2022). Effects of preventive interventions on neuroimaging biomarkers in subjects at-risk to develop Alzheimer's disease: A systematic review. Frontiers in Aging Neuroscience. 14(5). 51–57. 2 indexed citations
9.
Busto, Germain U., Ana Boulanger, Edward Giniger, et al.. (2021). Htt is a repressor of Abl activity required for APP-induced axonal growth. PLoS Genetics. 17(1). e1009287–e1009287. 10 indexed citations
10.
Guven-Ozkan, Tugba, et al.. (2020). miR-92aSuppresses Mushroom Body-Dependent Memory Consolidation inDrosophila. eNeuro. 7(4). ENEURO.0224–20.2020. 6 indexed citations
11.
Busto, Germain U., Tugba Guven-Ozkan, Molee Chakraborty, & Ronald L. Davis. (2016). Developmental inhibition of miR-iab8-3p disrupts mushroom body neuron structure and adult learning ability. Developmental Biology. 419(2). 237–249. 9 indexed citations
12.
Guven-Ozkan, Tugba, et al.. (2016). MiR-980 Is a Memory Suppressor MicroRNA that Regulates the Autism-Susceptibility Gene A2bp1. Cell Reports. 14(7). 1698–1709. 37 indexed citations
13.
Busto, Germain U., Tugba Guven-Ozkan, & Ronald L. Davis. (2016). MicroRNA function in Drosophila memory formation. Current Opinion in Neurobiology. 43. 15–24. 13 indexed citations
14.
Busto, Germain U., Tugba Guven-Ozkan, Tudor A. Fulga, David Van Vactor, & Ronald L. Davis. (2015). microRNAs That Promote or Inhibit Memory Formation in Drosophila melanogaster. Genetics. 200(2). 569–580. 38 indexed citations
15.
Tan, Ying, et al.. (2013). Wnt Signaling Is Required for Long-Term Memory Formation. Cell Reports. 4(6). 1082–1089. 33 indexed citations
16.
Busto, Germain U., Isaac Cervantes-Sandoval, & Ronald L. Davis. (2010). Olfactory Learning in Drosophila. Physiology. 25(6). 338–346. 143 indexed citations
17.
Mandairon, Nathalie, Sébastien Sultan, Nolwen L. Rey, et al.. (2009). A computer-assisted odorized hole-board for testing olfactory perception in mice. Journal of Neuroscience Methods. 180(2). 296–303. 33 indexed citations
18.
Busto, Germain U., Julie E. Elie, Florence Kermen, et al.. (2009). Expression of Zif268 in the granule cell layer of the adult mouse olfactory bulb is modulated by experience. European Journal of Neuroscience. 29(7). 1431–1439. 13 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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