William R. Silverman

1.5k total citations
11 papers, 1.3k citations indexed

About

William R. Silverman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, William R. Silverman has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in William R. Silverman's work include Ion channel regulation and function (8 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). William R. Silverman is often cited by papers focused on Ion channel regulation and function (8 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). William R. Silverman collaborates with scholars based in United States and Russia. William R. Silverman's co-authors include Gerhard Dahl, Silviu Locovei, Diane M. Papazian, Eliana Scemes, Juan Pablo de Rivero Vaccari, Robert W. Keane, Feng Qiu, Benoı̂t Roux, Allan F. Mock and João H. Morais‐Cabral and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

William R. Silverman

11 papers receiving 1.3k citations

Peers

William R. Silverman
Byung‐Chang Suh South Korea
William R. Silverman
Citations per year, relative to William R. Silverman William R. Silverman (= 1×) peers Byung‐Chang Suh

Countries citing papers authored by William R. Silverman

Since Specialization
Citations

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

Fields of papers citing papers by William R. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William R. Silverman. 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 William R. Silverman. The network helps show where William R. Silverman may publish in the future.

Co-authorship network of co-authors of William R. Silverman

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

All Works

11 of 11 papers shown
1.
Silverman, William R., Juan Pablo de Rivero Vaccari, Silviu Locovei, et al.. (2009). The Pannexin 1 Channel Activates the Inflammasome in Neurons and Astrocytes. Journal of Biological Chemistry. 284(27). 18143–18151. 459 indexed citations
2.
Silverman, William R., Silviu Locovei, & Gerhard Dahl. (2008). Probenecid, a gout remedy, inhibits pannexin 1 channels. American Journal of Physiology-Cell Physiology. 295(3). C761–C767. 367 indexed citations
3.
Clayton, Gina M., et al.. (2008). Structural and Energetic Analysis of Activation by a Cyclic Nucleotide Binding Domain. Journal of Molecular Biology. 381(3). 655–669. 29 indexed citations
4.
Silverman, William R. & Lise Heginbotham. (2007). The MlotiK1 channel transports ions along the canonical conduction pore. FEBS Letters. 581(26). 5024–5028. 2 indexed citations
5.
Dı́ez-Sampedro, Ana, William R. Silverman, Jocelyn F. Bautista, & George B. Richerson. (2006). Mechanism of Increased Open Probability by a Mutation of the BK Channel. Journal of Neurophysiology. 96(3). 1507–1516. 39 indexed citations
6.
Clayton, Gina M., William R. Silverman, Lise Heginbotham, & João H. Morais‐Cabral. (2004). Structural Basis of Ligand Activation in a Cyclic Nucleotide Regulated Potassium Channel. Cell. 119(5). 615–627. 105 indexed citations
7.
Silverman, William R., John P. Bannister, & Diane M. Papazian. (2004). Binding Site in Eag Voltage Sensor Accommodates a Variety of Ions and is Accessible in Closed Channel. Biophysical Journal. 87(5). 3110–3121. 18 indexed citations
8.
Lainé, Muriel, Meng‐Chin Lin, John P. Bannister, et al.. (2003). Atomic Proximity between S4 Segment and Pore Domain in Shaker Potassium Channels. Neuron. 39(3). 467–481. 142 indexed citations
9.
Silverman, William R., Benoı̂t Roux, & Diane M. Papazian. (2003). Structural basis of two-stage voltage-dependent activation in K+channels. Proceedings of the National Academy of Sciences. 100(5). 2935–2940. 80 indexed citations
10.
Papazian, Diane M., William R. Silverman, Meng‐Chin Lin, Seema K. Tiwari‐Woodruff, & Chih‐Yung Tang. (2002). Structural Organization of the Voltage Sensor in Voltage‐Dependent Potassium Channels. Novartis Foundation symposium. 245. 178–192. 13 indexed citations
11.
Silverman, William R., et al.. (2000). Mg2+ Modulates Voltage-Dependent Activation in Ether-à-Go-Go Potassium Channels by Binding between Transmembrane Segments S2 and S3. The Journal of General Physiology. 116(5). 663–678. 52 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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