Daniel Sigg

1.8k total citations · 1 hit paper
25 papers, 1.4k citations indexed

About

Daniel Sigg is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Sigg has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Sigg's work include Ion channel regulation and function (18 papers), Cardiac electrophysiology and arrhythmias (11 papers) and Neuroscience and Neural Engineering (9 papers). Daniel Sigg is often cited by papers focused on Ion channel regulation and function (18 papers), Cardiac electrophysiology and arrhythmias (11 papers) and Neuroscience and Neural Engineering (9 papers). Daniel Sigg collaborates with scholars based in United States, Chile and India. Daniel Sigg's co-authors include Francisco Bezanilla, Diane M. Papazian, Enrico Stefani, Riccardo Olcese, Antonios Pantazis, Nicoletta Savalli, James R. Heath, Rikard Blunck, Rigo Pantoja and Hong Qian and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Daniel Sigg

24 papers receiving 1.4k citations

Hit Papers

Voltage-Sensing Residues in the S2 and S4 Segments of the... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Sigg United States 17 1.3k 831 608 132 129 25 1.4k
F.J. Sigworth United States 14 1.3k 1.0× 834 1.0× 413 0.7× 102 0.8× 139 1.1× 16 1.6k
C A Vandenberg United States 11 1.2k 1.0× 936 1.1× 635 1.0× 64 0.5× 47 0.4× 12 1.4k
Dorine M. Starace United States 10 1.1k 0.9× 837 1.0× 455 0.7× 88 0.7× 111 0.9× 10 1.3k
Baron Chanda United States 31 2.6k 2.1× 1.6k 2.0× 959 1.6× 208 1.6× 136 1.1× 75 3.1k
Susan Noble United States 24 1.4k 1.1× 1.2k 1.4× 1.5k 2.4× 184 1.4× 56 0.4× 33 2.0k
Frederick J. Sigworth United States 8 1.1k 0.8× 738 0.9× 369 0.6× 61 0.5× 67 0.5× 12 1.2k
Carlos A. Villalba‐Galea United States 19 941 0.7× 611 0.7× 437 0.7× 52 0.4× 26 0.2× 33 1.1k
Lidia M. Mannuzzu United States 7 1.0k 0.8× 709 0.9× 443 0.7× 79 0.6× 33 0.3× 7 1.1k
Ken McCormack United States 15 1.3k 1.0× 839 1.0× 661 1.1× 72 0.5× 26 0.2× 25 1.5k
Meredith LeMasurier United States 6 616 0.5× 258 0.3× 191 0.3× 79 0.6× 141 1.1× 6 843

Countries citing papers authored by Daniel Sigg

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sigg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Sigg

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

All Works

20 of 20 papers shown
1.
Sigg, Daniel & Vincenzo Carnevale. (2025). Markov models and long-term memory in ion channels: A contradiction in terms?. Biophysical Journal. 124(9). 1356–1375.
2.
Suma, Antonio, et al.. (2024). Ion Channels in Critical Membranes: Clustering, Cooperativity, and Memory Effects. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 2(1). 3 indexed citations
3.
Suma, Antonio, et al.. (2021). Particle-based Ising model. Physical review. E. 103(1). 12125–12125. 2 indexed citations
4.
Sigg, Daniel, et al.. (2018). Linkage analysis reveals allosteric coupling in Kir2.1 channels. The Journal of General Physiology. 150(11). 1541–1553. 4 indexed citations
5.
Savalli, Nicoletta, Antonios Pantazis, Daniel Sigg, et al.. (2016). The α2δ-1 subunit remodels CaV1.2 voltage sensors and allows Ca2+ influx at physiological membrane potentials. The Journal of General Physiology. 148(2). 147–159. 43 indexed citations
6.
Pantazis, Antonios, Nicoletta Savalli, Daniel Sigg, Alan Neely, & Riccardo Olcese. (2014). Functional heterogeneity of the four voltage sensors of a human L-type calcium channel. Proceedings of the National Academy of Sciences. 111(51). 18381–18386. 60 indexed citations
7.
Morgan, Myfanwy, et al.. (2013). Ultra low-power standard cell design using planar bulk CMOS in subthreshold operation. 99. 9–15. 9 indexed citations
8.
Savalli, Nicoletta, Antonios Pantazis, Taleh Yusifov, Daniel Sigg, & Riccardo Olcese. (2012). The Contribution of RCK Domains to Human BK Channel Allosteric Activation. Journal of Biological Chemistry. 287(26). 21741–21750. 36 indexed citations
9.
Pantazis, Antonios, Vadim Gudzenko, Nicoletta Savalli, Daniel Sigg, & Riccardo Olcese. (2010). Operation of the voltage sensor of a human voltage- and Ca 2+ -activated K + channel. Proceedings of the National Academy of Sciences. 107(9). 4459–4464. 30 indexed citations
10.
Pantazis, Antonios, et al.. (2009). Cooperativity Between Voltage-sensing Domains in the Human BK Channel Revealed by Voltage-clamp Fluorometry.. Biophysical Journal. 96(3). 481a–481a. 1 indexed citations
11.
Sigg, Daniel & Francisco Bezanilla. (2003). A Physical Model of Potassium Channel Activation: From Energy Landscape to Gating Kinetics. Biophysical Journal. 84(6). 3703–3716. 35 indexed citations
12.
Sigg, Daniel, Francisco Bezanilla, & Enrico Stefani. (2003). Fast gating in the Shaker K + channel and the energy landscape of activation. Proceedings of the National Academy of Sciences. 100(13). 7611–7615. 58 indexed citations
13.
Pantoja, Rigo, Daniel Sigg, Rikard Blunck, Francisco Bezanilla, & James R. Heath. (2001). Bilayer Reconstitution of Voltage-Dependent Ion Channels using a Microfabricated Silicon Chip. Biophysical Journal. 81(4). 2389–2394. 112 indexed citations
14.
Olcese, Riccardo, Daniel Sigg, Ramón Latorre, Francisco Bezanilla, & Enrico Stefani. (2001). A Conducting State with Properties of a Slow Inactivated State in a Shaker K+ Channel Mutant. The Journal of General Physiology. 117(2). 149–164. 29 indexed citations
15.
Sigg, Daniel, Hong Qian, & Francisco Bezanilla. (1999). Kramers’ Diffusion Theory Applied to Gating Kinetics of Voltage-Dependent Ion Channels. Biophysical Journal. 76(2). 782–803. 59 indexed citations
16.
Sigg, Daniel, et al.. (1998). Voltage Gating of Shaker K+ Channels. The Journal of General Physiology. 112(2). 223–242. 79 indexed citations
17.
Sigg, Daniel & Francisco Bezanilla. (1997). Total Charge Movement per Channel. The Journal of General Physiology. 109(1). 27–39. 106 indexed citations
18.
Censier, K., Daniel Sigg, & A. Urwyler. (1997). A966 ALTERED CALCIUM CONTROL MECHANISM IN MYOTUBES FROM SUBJECTS WITH MALIGNANT HYPERTHERMIA. Anesthesiology. 87(Supplement). 966A–966A. 1 indexed citations
19.
Sigg, Daniel, et al.. (1996). Voltage-Sensing Residues in the S2 and S4 Segments of the Shaker K+ Channel. Neuron. 16(6). 1159–1167. 567 indexed citations breakdown →
20.
Sigg, Daniel, Enrico Stefani, & Francisco Bezanilla. (1994). Gating Current Noise Produced by Elementary Transitions in Shaker Potassium Channels. Science. 264(5158). 578–582. 75 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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