Matthew Pelekanos

516 total citations
8 papers, 375 citations indexed

About

Matthew Pelekanos is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Matthew Pelekanos has authored 8 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Matthew Pelekanos's work include Ultrasound and Hyperthermia Applications (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Nuclear Receptors and Signaling (2 papers). Matthew Pelekanos is often cited by papers focused on Ultrasound and Hyperthermia Applications (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Nuclear Receptors and Signaling (2 papers). Matthew Pelekanos collaborates with scholars based in Australia, Finland and China. Matthew Pelekanos's co-authors include Thomas H.J. Burne, John J. McGrath, Xiaoying Cui, Darryl W. Eyles, Jürgen Götz, Daniel G. Blackmore, Fabrice Turpin, Gerhard Leinenga, Perry F. Bartlett and Pankaj Sah and has published in prestigious journals such as Nature Protocols, Neuroscience and Molecular Psychiatry.

In The Last Decade

Matthew Pelekanos

8 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Pelekanos Australia 7 151 96 71 52 45 8 375
Zahra Moinfar Germany 9 115 0.8× 15 0.2× 10 0.1× 17 0.3× 33 0.7× 18 413
Nathalie Baril France 8 70 0.5× 34 0.4× 20 0.3× 33 0.6× 8 0.2× 14 304
Cynthia Xu United States 12 29 0.2× 31 0.3× 126 1.8× 38 0.7× 209 4.6× 36 640
Mark Varvaris United States 10 64 0.4× 10 0.1× 11 0.2× 60 1.2× 19 0.4× 15 386
J.A. O’Connor United States 8 19 0.1× 104 1.1× 27 0.4× 12 0.2× 40 0.9× 13 620
Dumitru Ciolac Moldova 12 121 0.8× 22 0.2× 7 0.1× 103 2.0× 13 0.3× 34 535
Anita Fletcher United States 10 58 0.4× 16 0.2× 20 0.3× 5 0.1× 15 0.3× 18 300
Mingchen Jiang China 11 39 0.3× 10 0.1× 28 0.4× 13 0.3× 35 0.8× 30 340
Marisol Soula United States 11 80 0.5× 30 0.3× 10 0.1× 14 0.3× 6 0.1× 19 463
Alexander Taghva United States 14 81 0.5× 28 0.3× 11 0.2× 21 0.4× 4 0.1× 27 744

Countries citing papers authored by Matthew Pelekanos

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Pelekanos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Pelekanos

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

All Works

8 of 8 papers shown
1.
Blackmore, Daniel G., Fabrice Turpin, Harrison Tudor Evans, et al.. (2021). Low-intensity ultrasound restores long-term potentiation and memory in senescent mice through pleiotropic mechanisms including NMDAR signaling. Molecular Psychiatry. 26(11). 6975–6991. 42 indexed citations
2.
Odabaee, Mostafa, et al.. (2018). Modeling ultrasound propagation through material of increasing geometrical complexity. Ultrasonics. 90. 52–62. 6 indexed citations
3.
Blackmore, Daniel G., Fabrice Turpin, Abdalla Z. Mohamed, et al.. (2018). Multimodal analysis of aged wild-type mice exposed to repeated scanning ultrasound treatments demonstrates long-term safety. Theranostics. 8(22). 6233–6247. 36 indexed citations
4.
Pelekanos, Matthew, Gerhard Leinenga, Mostafa Odabaee, et al.. (2018). Establishing sheep as an experimental species to validate ultrasound-mediated blood-brain barrier opening for potential therapeutic interventions. Theranostics. 8(9). 2583–2602. 38 indexed citations
5.
Joensuu, Merja, Ramón Martínez‐Mármol, Pranesh Padmanabhan, et al.. (2017). Visualizing endocytic recycling and trafficking in live neurons by subdiffractional tracking of internalized molecules. Nature Protocols. 12(12). 2590–2622. 31 indexed citations
6.
Cui, Xiaoying, et al.. (2013). The vitamin D receptor in dopamine neurons; its presence in human substantia nigra and its ontogenesis in rat midbrain. Neuroscience. 236. 77–87. 148 indexed citations
7.
Cui, Xiaoying, Matthew Pelekanos, Thomas H.J. Burne, John J. McGrath, & Darryl W. Eyles. (2010). Maternal vitamin D deficiency alters the expression of genes involved in dopamine specification in the developing rat mesencephalon. Neuroscience Letters. 486(3). 220–223. 73 indexed citations
8.
Eyles, Darryl W., Xiaoxia Cui, Matthew Pelekanos, et al.. (2009). Developmental Vitamin D Deficiency (DVD) and Brain Dopamine Ontogeny. European Psychiatry. 24(S1). 1 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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