Michael Kirmiz

733 total citations
9 papers, 509 citations indexed

About

Michael Kirmiz is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael Kirmiz has authored 9 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael Kirmiz's work include Ion channel regulation and function (8 papers), Cellular transport and secretion (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Michael Kirmiz is often cited by papers focused on Ion channel regulation and function (8 papers), Cellular transport and secretion (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Michael Kirmiz collaborates with scholars based in United States, Austria and Bulgaria. Michael Kirmiz's co-authors include James S. Trimmer, Nicholas C. Vierra, Stephanie Palacio, Karl D. Murray, Luis F. Santana, Ryuichi Shigemoto, Danielle Mandikian, Melanie M. Cobb, Mikhail Melnik and Heikki Rauvala and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Michael Kirmiz

9 papers receiving 508 citations

Peers

Michael Kirmiz
Melanie M. Cobb United States
Juliane Proft Canada
William E. McIntire United States
Arianna Venturini Italy
Ruth Rea United Kingdom
Damian G. Wheeler United States
Tara Gaertner United States
Anna Brachet France
Henry A. Dunn Canada
Melanie E. M. Kelly Canada
Melanie M. Cobb United States
Michael Kirmiz
Citations per year, relative to Michael Kirmiz Michael Kirmiz (= 1×) peers Melanie M. Cobb

Countries citing papers authored by Michael Kirmiz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kirmiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kirmiz

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

All Works

9 of 9 papers shown
1.
Ferns, Michael, Deborah van der List, Nicholas C. Vierra, et al.. (2025). The Electrically Silent Kv5.1 Subunit Forms Heteromeric Kv2 Channels in Cortical Neurons and Confers Distinct Functional Properties. Journal of Neuroscience. 45(13). e2293232025–e2293232025. 3 indexed citations
2.
Vierra, Nicholas C., Michael Kirmiz, Deborah van der List, et al.. (2023). Neuronal ER-plasma membrane junctions couple excitation to Ca2+-activated PKA signaling. Nature Communications. 14(1). 5231–5231. 22 indexed citations
3.
Kirmiz, Michael, Taryn E. Gillies, Eamonn J. Dickson, & James S. Trimmer. (2019). Neuronal ER–plasma membrane junctions organized by Kv2–VAP pairing recruit Nir proteins and affect phosphoinositide homeostasis. Journal of Biological Chemistry. 294(47). 17735–17757. 33 indexed citations
4.
Kirmiz, Michael, Stephanie Palacio, Claudia M. Moreno, et al.. (2019). A toolbox of nanobodies developed and validated for use as intrabodies and nanoscale immunolabels in mammalian brain neurons. eLife. 8. 43 indexed citations
5.
Vierra, Nicholas C., Michael Kirmiz, Deborah van der List, Luis F. Santana, & James S. Trimmer. (2019). Kv2.1 mediates spatial and functional coupling of L-type calcium channels and ryanodine receptors in mammalian neurons. eLife. 8. 70 indexed citations
6.
Kirmiz, Michael, et al.. (2018). Remodeling neuronal ER–PM junctions is a conserved nonconducting function of Kv2 plasma membrane ion channels. Molecular Biology of the Cell. 29(20). 2410–2432. 48 indexed citations
7.
Kirmiz, Michael, Nicholas C. Vierra, Stephanie Palacio, & James S. Trimmer. (2018). Identification of VAPA and VAPB as Kv2 Channel-Interacting Proteins Defining Endoplasmic Reticulum–Plasma Membrane Junctions in Mammalian Brain Neurons. Journal of Neuroscience. 38(35). 7562–7584. 91 indexed citations
8.
Bishop, Hannah I., Melanie M. Cobb, Michael Kirmiz, et al.. (2018). Kv2 Ion Channels Determine the Expression and Localization of the Associated AMIGO-1 Cell Adhesion Molecule in Adult Brain Neurons. Frontiers in Molecular Neuroscience. 11. 1–1. 197 indexed citations
9.
Johnson, Benjamin T., et al.. (2018). The Kv2.1 Potassium Channel Forms Endoplasmic Reticulum/Plasma Membrane Junctions via Interaction with VAP-A and VAP-B. Biophysical Journal. 114(3). 295a–295a. 2 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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