Michael Sivula

1.3k total citations
8 papers, 988 citations indexed

About

Michael Sivula is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Molecular Biology. According to data from OpenAlex, Michael Sivula has authored 8 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Sensory Systems and 3 papers in Molecular Biology. Recurrent topics in Michael Sivula's work include Ion Channels and Receptors (4 papers), Neuroscience and Neuropharmacology Research (2 papers) and Lipid Membrane Structure and Behavior (2 papers). Michael Sivula is often cited by papers focused on Ion Channels and Receptors (4 papers), Neuroscience and Neuropharmacology Research (2 papers) and Lipid Membrane Structure and Behavior (2 papers). Michael Sivula collaborates with scholars based in United States and Germany. Michael Sivula's co-authors include Sven‐Eric Jordt, Jasmine Escalera, Bret F. Bessac, Christian A. von Hehn, Stephen M. Strittmatter, Ji‐Eun Kim, Jung-Kil Lee, Lauren Cohn, Ana I. Caceres and Barbara E. Ehrlich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Michael Sivula

8 papers receiving 969 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Sivula United States	7	448	369	206	182	133	8	988
Tatjana I. Kichko Germany	15	505 1.1×	343 0.9×	315 1.5×	190 1.0×	96 0.7×	18	1.0k
Florence R. Fricker United Kingdom	8	242 0.5×	426 1.2×	238 1.2×	222 1.2×	24 0.2×	10	846
Grant D. Nicol United States	17	445 1.0×	560 1.5×	618 3.0×	793 4.4×	67 0.5×	27	1.5k
Daniel Souza Monteiro de Araújo Italy	14	396 0.9×	262 0.7×	197 1.0×	397 2.2×	32 0.2×	24	950
Katharine Walker United States	15	439 1.0×	360 1.0×	375 1.8×	768 4.2×	63 0.5×	18	1.6k
Michelle Dourado United States	14	241 0.5×	345 0.9×	486 2.4×	172 0.9×	38 0.3×	15	826
John R. Fawcett United States	8	82 0.2×	279 0.8×	276 1.3×	105 0.6×	56 0.4×	13	878
Anindya Bhattacharya United States	16	132 0.3×	163 0.4×	190 0.9×	166 0.9×	54 0.4×	32	738
Hirokazu Katsura Japan	14	335 0.7×	468 1.3×	168 0.8×	699 3.8×	22 0.2×	23	1.0k

Countries citing papers authored by Michael Sivula

Since Specialization

Citations

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

Fields of papers citing papers by Michael Sivula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sivula

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

All Works

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8 of 8 papers shown

Cottrell, Jeffrey R., Jonathan M. Levenson, Sung Hyun Kim, et al.. (2013). Working Memory Impairment in Calcineurin Knock-out Mice Is Associated with Alterations in Synaptic Vesicle Cycling and Disruption of High-Frequency Synaptic and Network Activity in Prefrontal Cortex. Journal of Neuroscience. 33(27). 10938–10949. 37 indexed citations

Hempel, Chris M., Michael Sivula, Jonathan M. Levenson, et al.. (2011). A System for Performing High Throughput Assays of Synaptic Function. PLoS ONE. 6(10). e25999–e25999. 22 indexed citations

Bessac, Bret F., et al.. (2009). TRPA1 Antagonists Block the Noxious Effects of Toxic Industrial Isocyanates and Tear Gases. The FASEB Journal. 23(S1). 3 indexed citations

Escalera, Jasmine, Christian A. von Hehn, Bret F. Bessac, Michael Sivula, & Sven‐Eric Jordt. (2008). TRPA1 Mediates the Noxious Effects of Natural Sesquiterpene Deterrents. Journal of Biological Chemistry. 283(35). 24136–24144. 76 indexed citations

Bessac, Bret F., Michael Sivula, Christian A. von Hehn, et al.. (2008). TRPA1 is a major oxidant sensor in murine airway sensory neurons. Journal of Clinical Investigation. 118(5). 1899–1910. 363 indexed citations

Bessac, Bret F., Michael Sivula, Christian A. von Hehn, et al.. (2008). Transient receptor potential ankyrin 1 antagonists block the noxious effects of toxic industrial isocyanates and tear gases. The FASEB Journal. 23(4). 1102–1114. 128 indexed citations

Boehmerle, Wolfgang, Kun Zhang, Michael Sivula, et al.. (2007). Chronic exposure to paclitaxel diminishes phosphoinositide signaling by calpain-mediated neuronal calcium sensor-1 degradation. Proceedings of the National Academy of Sciences. 104(26). 11103–11108. 84 indexed citations

Lee, Jung-Kil, Ji‐Eun Kim, Michael Sivula, & Stephen M. Strittmatter. (2004). Nogo Receptor Antagonism Promotes Stroke Recovery by Enhancing Axonal Plasticity. Journal of Neuroscience. 24(27). 6209–6217. 275 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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