Michael Vreones

484 total citations
7 papers, 343 citations indexed

About

Michael Vreones is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Michael Vreones has authored 7 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Neurology and 2 papers in Neurology. Recurrent topics in Michael Vreones's work include Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Michael Vreones is often cited by papers focused on Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Michael Vreones collaborates with scholars based in United States, Australia and New Zealand. Michael Vreones's co-authors include Dimitrios Kapogiannis, Maja Mustapić, James Olcese, Leanne C. Duke, Li Sun, Shawn C. Moseley, Samuel C. Grant, Aaron A. Wilber, Pamela J. Yao and David G. Meckes and has published in prestigious journals such as Brain, Theranostics and Aging Cell.

In The Last Decade

Michael Vreones

7 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Vreones United States	6	249	100	51	48	39	7	343
Mengtian Guo China	10	350 1.4×	175 1.8×	80 1.6×	54 1.1×	62 1.6×	14	480
Simona Maciotta Italy	8	278 1.1×	142 1.4×	20 0.4×	48 1.0×	22 0.6×	8	355
Sepideh Parsi United States	9	262 1.1×	236 2.4×	59 1.2×	110 2.3×	42 1.1×	13	416
Claudia D’Agostino Belgium	6	217 0.9×	73 0.7×	43 0.8×	87 1.8×	15 0.4×	7	324
Jian-Nan Zhang China	9	154 0.6×	42 0.4×	47 0.9×	40 0.8×	36 0.9×	12	289
PhilipV Peplow New Zealand	12	261 1.0×	188 1.9×	59 1.2×	51 1.1×	55 1.4×	14	440
Toniella Giallongo Italy	13	155 0.6×	58 0.6×	40 0.8×	35 0.7×	67 1.7×	19	372
Weihua Cai China	10	253 1.0×	123 1.2×	29 0.6×	138 2.9×	21 0.5×	17	518
Weihua Cai China	7	218 0.9×	87 0.9×	51 1.0×	22 0.5×	10 0.3×	11	364
Vladimir Tsivinsky United States	6	323 1.3×	314 3.1×	87 1.7×	89 1.9×	48 1.2×	9	477

Countries citing papers authored by Michael Vreones

Since Specialization

Citations

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

Fields of papers citing papers by Michael Vreones

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Vreones

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

All Works

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7 of 7 papers shown

Nogueras‐Ortiz, Carlos, Erden Eren, Pamela J. Yao, et al.. (2024). Single‐extracellular vesicle (EV) analyses validate the use of L1 Cell Adhesion Molecule (L1CAM) as a reliable biomarker of neuron‐derived EVs. Journal of Extracellular Vesicles. 13(6). e12459–e12459. 41 indexed citations

Vreones, Michael, Matthew D. Smith, Eleni S. Vasileiou, et al.. (2024). Synaptic Protein Loss in Extracellular Vesicles Reflects Brain and Retinal Atrophy in People With Multiple Sclerosis. Neurology Neuroimmunology & Neuroinflammation. 11(4). e200257–e200257. 4 indexed citations

Avgerinos, Konstantinos, Roger J. Mullins, Michael Vreones, et al.. (2022). Empagliflozin Induced Ketosis, Upregulated IGF-1/Insulin Receptors and the Canonical Insulin Signaling Pathway in Neurons, and Decreased the Excitatory Neurotransmitter Glutamate in the Brain of Non-Diabetics. Cells. 11(21). 3372–3372. 27 indexed citations

Vreones, Michael, Maja Mustapić, Ruin Moaddel, et al.. (2022). Oral nicotinamide riboside raises NAD+ and lowers biomarkers of neurodegenerative pathology in plasma extracellular vesicles enriched for neuronal origin. Aging Cell. 22(1). e13754–e13754. 48 indexed citations

Pitcher, Toni L., Maja Mustapić, Erden Eren, et al.. (2022). Extracellular vesicle biomarkers for cognitive impairment in Parkinson’s disease. Brain. 146(1). 195–208. 64 indexed citations

Yao, Pamela J., Michael Vreones, Grigorios Kalaitzidis, et al.. (2022). Mitochondrial measures in neuronally enriched extracellular vesicles predict brain and retinal atrophy in multiple sclerosis. Multiple Sclerosis Journal. 28(13). 2020–2026. 10 indexed citations

Cone, Allaura S., Xuegang Yuan, Li Sun, et al.. (2021). Mesenchymal stem cell-derived extracellular vesicles ameliorate Alzheimer's disease-like phenotypes in a preclinical mouse model. Theranostics. 11(17). 8129–8142. 149 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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