Michael J. Saganich

2.2k total citations · 1 hit paper
9 papers, 1.9k citations indexed

About

Michael J. Saganich is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michael J. Saganich has authored 9 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Michael J. Saganich's work include Ion channel regulation and function (7 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Michael J. Saganich is often cited by papers focused on Ion channel regulation and function (7 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Michael J. Saganich collaborates with scholars based in United States and Mexico. Michael J. Saganich's co-authors include Bernardo Rudy, Marcela S. Nadal, Andrés Ozaita, Yimy Amarillo, Eleazar Vega‐Saenz de Miera, David Lau, Alan Chow, William A. Coetzee, Tom McCormack and David Pountney and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Journal of Neurophysiology.

In The Last Decade

Michael J. Saganich

9 papers receiving 1.9k citations

Hit Papers

Molecular Diversity of K+ Channels 1999 2026 2008 2017 1999 250 500 750

Peers

Michael J. Saganich
Yimy Amarillo United States
T P Snutch Canada
Qiubo Lei United States
Aguan Wei United States
Nicholas W. Plummer United States
Linda M. Boland United States
Tom McCormack United States
Mala M. Shah United Kingdom
Yimy Amarillo United States
Michael J. Saganich
Citations per year, relative to Michael J. Saganich Michael J. Saganich (= 1×) peers Yimy Amarillo

Countries citing papers authored by Michael J. Saganich

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Saganich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Saganich

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Saganich. A scholar is included among the top collaborators of Michael J. Saganich 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 J. Saganich. Michael J. Saganich 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.
Armstrong, John N., Michael J. Saganich, Nan‐Jie Xu, et al.. (2006). B-Ephrin Reverse Signaling Is Required for NMDA-Independent Long-Term Potentiation of Mossy Fibers in the Hippocampus. Journal of Neuroscience. 26(13). 3474–3481. 83 indexed citations
2.
Saganich, Michael J., Brock E. Schroeder, Verónica Galván, et al.. (2006). Deficits in Synaptic Transmission and Learning in Amyloid Precursor Protein (APP) Transgenic Mice Require C-Terminal Cleavage of APP. Journal of Neuroscience. 26(52). 13428–13436. 110 indexed citations
3.
Zagha, Edward, Andrés Ozaita, Marcela S. Nadal, et al.. (2005). DPP10 Modulates Kv4-mediated A-type Potassium Channels. Journal of Biological Chemistry. 280(19). 18853–18861. 105 indexed citations
4.
Saganich, Michael J., et al.. (2001). Differential Expression of Genes Encoding Subthreshold-Operating Voltage-Gated K+Channels in Brain. Journal of Neuroscience. 21(13). 4609–4624. 186 indexed citations
5.
Pountney, David, Iosif Gulkarov, Eleazar Vega‐Saenz de Miera, et al.. (1999). Identification and cloning of TWIK‐originated similarity sequence (TOSS): a novel human 2‐pore K+ channel principal subunit. FEBS Letters. 450(3). 191–196. 50 indexed citations
6.
Coetzee, William A., Yimy Amarillo, Joanna C. Chiu, et al.. (1999). Molecular Diversity of K+ Channels. Annals of the New York Academy of Sciences. 868(1). 233–255. 957 indexed citations breakdown →
7.
Rudy, Bernardo, Alan Chow, David Lau, et al.. (1999). Contributions of Kv3 Channels to Neuronal Excitability. Annals of the New York Academy of Sciences. 868(1). 304–343. 264 indexed citations
8.
Chow, Alan Y., Yimy Amarillo, Herman Moreno, et al.. (1999). Kv3.1–Kv3.2 Channels Underlie a High-Voltage–Activating Component of the Delayed Rectifier K+Current in Projecting Neurons From the Globus Pallidus. Journal of Neurophysiology. 82(3). 1512–1528. 83 indexed citations
9.
Saganich, Michael J., Eleazar Vega‐Saenz de Miera, Marcela S. Nadal, et al.. (1999). Cloning of Components of a Novel Subthreshold-Activating K+Channel with a Unique Pattern of Expression in the Cerebral Cortex. Journal of Neuroscience. 19(24). 10789–10802. 55 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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