Michael A. Chirillo

780 total citations
8 papers, 448 citations indexed

About

Michael A. Chirillo is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Michael A. Chirillo has authored 8 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Michael A. Chirillo's work include Photoreceptor and optogenetics research (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Mitochondrial Function and Pathology (2 papers). Michael A. Chirillo is often cited by papers focused on Photoreceptor and optogenetics research (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Mitochondrial Function and Pathology (2 papers). Michael A. Chirillo collaborates with scholars based in United States and Serbia. Michael A. Chirillo's co-authors include Jennifer N. Bourne, Kristen M. Harris, Terrence J. Sejnowski, Justin P. Kinney, Thomas M. Bartol, Guan Cao, Heather Smith, Linnaea Ostroff, Deborah Watson and Masaaki Kuwajima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and Scientific Reports.

In The Last Decade

Michael A. Chirillo

7 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. Chirillo United States 7 308 170 161 64 54 8 448
Laure Fronzaroli‐Molinières France 13 447 1.5× 281 1.7× 218 1.4× 41 0.6× 100 1.9× 15 646
Cian O’Donnell United Kingdom 11 304 1.0× 322 1.9× 120 0.7× 57 0.9× 16 0.3× 23 480
Rodrigo F. Oliveira Brazil 13 223 0.7× 246 1.4× 191 1.2× 40 0.6× 21 0.4× 31 538
David Tsay United States 8 459 1.5× 280 1.6× 188 1.2× 75 1.2× 12 0.2× 10 626
Cary Soares Canada 8 277 0.9× 139 0.8× 133 0.8× 26 0.4× 38 0.7× 10 354
Tanya Sippy United States 5 469 1.5× 398 2.3× 169 1.0× 35 0.5× 42 0.8× 7 641
Miklos Szoboszlay United States 9 264 0.9× 157 0.9× 134 0.8× 19 0.3× 49 0.9× 12 336
Alex S. Ferecskó United Kingdom 9 343 1.1× 408 2.4× 92 0.6× 56 0.9× 18 0.3× 11 567
Roy Ben‐Shalom United States 10 217 0.7× 194 1.1× 295 1.8× 21 0.3× 28 0.5× 15 541
Mickaël Zbili France 11 240 0.8× 145 0.9× 107 0.7× 20 0.3× 56 1.0× 15 355

Countries citing papers authored by Michael A. Chirillo

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Chirillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. Chirillo

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Chirillo. A scholar is included among the top collaborators of Michael A. Chirillo 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 A. Chirillo. Michael A. Chirillo 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.
Chirillo, Michael A., et al.. (2025). PyReconstruct: A fully open-source, collaborative successor to Reconstruct. Proceedings of the National Academy of Sciences. 122(31). e2505822122–e2505822122.
2.
Chirillo, Michael A., Dee U. Silverthorn, & Predrag Vujović. (2021). Core concepts in physiology: teaching homeostasis through pattern recognition. AJP Advances in Physiology Education. 45(4). 812–828. 12 indexed citations
3.
Chirillo, Michael A., et al.. (2019). Local resources of polyribosomes and SER promote synapse enlargement and spine clustering after long-term potentiation in adult rat hippocampus. Scientific Reports. 9(1). 3861–3861. 59 indexed citations
4.
Vujović, Predrag, Michael A. Chirillo, & Dee U. Silverthorn. (2018). Learning (by) osmosis: an approach to teaching osmolarity and tonicity. AJP Advances in Physiology Education. 42(4). 626–635. 14 indexed citations
5.
Smith, Heather, Jennifer N. Bourne, Guan Cao, et al.. (2016). Mitochondrial support of persistent presynaptic vesicle mobilization with age-dependent synaptic growth after LTP. eLife. 5. 85 indexed citations
6.
Bartol, Thomas M., Justin P. Kinney, Michael A. Chirillo, et al.. (2015). Nanoconnectomic upper bound on the variability of synaptic plasticity. eLife. 4. e10778–e10778. 173 indexed citations
7.
Bourne, Jennifer N., et al.. (2014). Dynamics of nascent and active zone ultrastructure as synapses enlarge during long‐term potentiation in mature hippocampus. The Journal of Comparative Neurology. 522(17). 3861–3884. 57 indexed citations
8.
Bourne, Jennifer N., Michael A. Chirillo, & Kristen M. Harris. (2013). Presynaptic Ultrastructural Plasticity Along CA3→CA1 Axons During Long‐Term Potentiation in Mature Hippocampus. The Journal of Comparative Neurology. 521(17). 3898–3912. 48 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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