Daniel R. Montagna

545 total citations
8 papers, 443 citations indexed

About

Daniel R. Montagna is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, Daniel R. Montagna has authored 8 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Pharmacology. Recurrent topics in Daniel R. Montagna's work include Alzheimer's disease research and treatments (3 papers), RNA Research and Splicing (3 papers) and Computational Drug Discovery Methods (2 papers). Daniel R. Montagna is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), RNA Research and Splicing (3 papers) and Computational Drug Discovery Methods (2 papers). Daniel R. Montagna collaborates with scholars based in United States and Denmark. Daniel R. Montagna's co-authors include Dennis J. Selkoe, Michael S. Wolfe, Michael S. Wolfe, Bente Finsen, John R. Dickson, Carla Kruse, Mihaela‐Rita Mihailescu, Jean‐François Fisette, Yongli Gu and Warren D. Hirst and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Neurochemistry.

In The Last Decade

Daniel R. Montagna

8 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel R. Montagna United States	6	325	199	69	56	49	8	443
Bhramdeo Bassit United States	7	360 1.1×	200 1.0×	40 0.6×	53 0.9×	72 1.5×	7	532
Charlotte Nerelius Sweden	11	299 0.9×	258 1.3×	27 0.4×	77 1.4×	53 1.1×	11	470
Hélène Vignaud France	9	268 0.8×	130 0.7×	57 0.8×	19 0.3×	27 0.6×	11	373
Zhongping Liao United States	8	221 0.7×	151 0.8×	48 0.7×	14 0.3×	44 0.9×	12	356
David A. Hicks United Kingdom	7	203 0.6×	141 0.7×	14 0.2×	31 0.6×	64 1.3×	12	325
Ruth MacLeod United Kingdom	11	543 1.7×	80 0.4×	29 0.4×	28 0.5×	55 1.1×	11	688
Anna M. Lilja Sweden	7	153 0.5×	101 0.5×	33 0.5×	28 0.5×	65 1.3×	8	308
Kai Prager Germany	9	262 0.8×	287 1.4×	19 0.3×	25 0.4×	58 1.2×	12	533
Dongmei Yin China	9	260 0.8×	98 0.5×	37 0.5×	8 0.1×	28 0.6×	16	412
Aurelio Vázquez de la Torre Spain	9	164 0.5×	88 0.4×	25 0.4×	12 0.2×	28 0.6×	10	310

Countries citing papers authored by Daniel R. Montagna

Since Specialization

Citations

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

Fields of papers citing papers by Daniel R. Montagna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Montagna. 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 Daniel R. Montagna. The network helps show where Daniel R. Montagna may publish in the future.

Co-authorship network of co-authors of Daniel R. Montagna

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Montagna, Daniel R., et al.. (2024). RIT2 regulates autophagy lysosomal pathway induction and protects against α-synuclein pathology in a cellular model of Parkinson's disease. Neurobiology of Disease. 199. 106568–106568. 5 indexed citations

Abraham, Neeta A., Nadine F. Joseph, Sarah Geisler, et al.. (2024). Dose-dependent reduction of somatic expansions but not Htt aggregates by di-valent siRNA-mediated silencing of MSH3 in HdhQ111 mice. Scientific Reports. 14(1). 2061–2061. 5 indexed citations

Montagna, Daniel R., et al.. (2016). The amyloid-beta forming tripeptide cleavage mechanism of γ-secretase. eLife. 5. 125 indexed citations

Wolfe, Michael S., et al.. (2016). P4‐071: The Amyloid‐B Generating Tri‐Peptide Cleavage Mechanism of Gamma‐Secretase: Implications for Alzheimer's Disease. Alzheimer s & Dementia. 12(7S_Part_21). 3 indexed citations

Montagna, Daniel R., et al.. (2015). Nicastrin functions to sterically hinder γ-secretase–substrate interactions driven by substrate transmembrane domain. Proceedings of the National Academy of Sciences. 113(5). E509–18. 106 indexed citations

Montagna, Daniel R., et al.. (2015). P4‐221: Nicastrin functions as a molecular gatekeeper to a high‐affinity γ‐secretase‐substrate interaction driven by substrate transmembrane domain. Alzheimer s & Dementia. 11(7S_Part_19). 3 indexed citations

Dickson, John R., Carla Kruse, Daniel R. Montagna, Bente Finsen, & Michael S. Wolfe. (2013). Alternative polyadenylation and miR‐34 family members regulate tau expression. Journal of Neurochemistry. 127(6). 739–749. 113 indexed citations

Fisette, Jean‐François, Daniel R. Montagna, Mihaela‐Rita Mihailescu, & Michael S. Wolfe. (2012). A G‐Rich element forms a G‐quadruplex and regulates BACE1 mRNA alternative splicing. Journal of Neurochemistry. 121(5). 763–773. 83 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.

Explore authors with similar magnitude of impact