Michael J. Krambis

1.2k total citations
10 papers, 374 citations indexed

About

Michael J. Krambis is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michael J. Krambis has authored 10 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Michael J. Krambis's work include Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Michael J. Krambis is often cited by papers focused on Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Michael J. Krambis collaborates with scholars based in United States, United Kingdom and Austria. Michael J. Krambis's co-authors include Lawrence G. Palmer, Henry Sackin, Rok Cerne, Jeffrey M. Witkin, Mark L. Chapman, Jeffrey M. Schkeryantz, Ken McCormack, Douglas S. Krafte, Brett M. Antonio and David Printzenhoff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Biophysical Journal.

In The Last Decade

Michael J. Krambis

10 papers receiving 365 citations

Peers

Michael J. Krambis

CMN

CCM

PHYSI

R Paoletti Italy

Shahnaz P. Yusaf United Kingdom

David Printzenhoff United States

Cyrus Eduljee Canada

Kendra L. Burgher United States

Fabrice Marger Switzerland

Elizabeth Tringham Canada

Alberto J. Kaumann United Kingdom

Stuart D.C. Ward United States

Edijs Vavers Latvia

R Paoletti Italy

Michael J. Krambis

193 ×0.7

99 ×0.6

CMN

75 ×0.9

CCM

44 ×0.5

PHYSI

21 ×0.4

Citations per year, relative to Michael J. Krambis Michael J. Krambis (= 1×) peers R Paoletti

Countries citing papers authored by Michael J. Krambis

Since Specialization

Citations

This map shows the geographic impact of Michael J. Krambis'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. Krambis 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. Krambis more than expected).

Fields of papers citing papers by Michael J. Krambis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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10 of 10 papers shown

Ohtawa, Masaki, Michael J. Krambis, Rok Cerne, et al.. (2017). Synthesis of (−)-11-O-Debenzoyltashironin: Neurotrophic Sesquiterpenes Cause Hyperexcitation. Journal of the American Chemical Society. 139(28). 9637–9644. 53 indexed citations

Cerne, Rok, Mark Wakulchik, Michael J. Krambis, Kevin D. Burris, & Birgit T. Priest. (2016). IonWorks Barracuda Assay for Assessment of State-Dependent Sodium Channel Modulators. Assay and Drug Development Technologies. 14(2). 84–92. 3 indexed citations

Jambrina, Enrique, Rok Cerne, Emery Smith, et al.. (2016). An Integrated Approach for Screening and Identification of Positive Allosteric Modulators of N-Methyl-D-Aspartate Receptors. SLAS DISCOVERY. 21(5). 468–479. 12 indexed citations

Poe, Michael M., Guanguan Li, Kelly A. Teske, et al.. (2016). Synthesis and Characterization of a Novel γ-Aminobutyric Acid Type A (GABA_A) Receptor Ligand That Combines Outstanding Metabolic Stability, Pharmacokinetics, and Anxiolytic Efficacy. Journal of Medicinal Chemistry. 59(23). 10800–10806. 37 indexed citations

McCormack, Ken, Mark L. Chapman, Douglas S. Krafte, et al.. (2013). Voltage sensor interaction site for selective small molecule inhibitors of voltage-gated sodium channels. Proceedings of the National Academy of Sciences. 110(29). E2724–32. 174 indexed citations

Scanio, Marc J. C., Lei Shi, Irene Drizin, et al.. (2010). Discovery and biological evaluation of potent, selective, orally bioavailable, pyrazine-based blockers of the Nav1.8 sodium channel with efficacy in a model of neuropathic pain. Bioorganic & Medicinal Chemistry. 18(22). 7816–7825. 27 indexed citations

Sackin, Henry, et al.. (2005). Structural Locus of the pH Gate in the Kir1.1 Inward Rectifier Channel. Biophysical Journal. 88(4). 2597–2606. 32 indexed citations

Sackin, Henry, Lawrence G. Palmer, & Michael J. Krambis. (2004). Potassium-Dependent Slow Inactivation of Kir1.1 (ROMK) Channels. Biophysical Journal. 86(4). 2145–2155. 9 indexed citations

Priest, Birgit T., Rok Cerne, Michael J. Krambis, et al.. (2004). Automated Electrophysiology Assays. 1 indexed citations

10.

Sackin, Henry, et al.. (2003). Permeant Cations and Blockers Modulate pH Gating of ROMK Channels. Biophysical Journal. 84(2). 910–921. 26 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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