Daniel Sigg

1.8k citations
27 papers · 1.6k · 1 hit paper · h-index 18

Impact in

Papers in

Daniel Sigg

25 papers receiving 1.5k citations

Daniel Sigg's Hit Papers

Voltage-Sensing Residues in the S2 and S4 Segments of the Shaker K+ Channel 1996 · 589 citations
5890+10+20Years since publication100200300400500

Peers

Daniel Sigg
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 853
  • Cardiology and Cardiovascular Medicine 606
  • Electrochemistry 136
  • Molecular Biology 1.3k
  • Sensory Systems 67
Replace A.L. Blatz with:
A.L. Blatz United States
C A Vandenberg United States
Vishwanath Jogini United States
Dorine M. Starace United States
Baron Chanda United States
F.J. Sigworth United States
F M Ashcroft United Kingdom
Robert F. Rakowski United States
Susan Noble United Kingdom
Anthony Auerbach United States
Daniel Sigg relative to A.L. Blatz United States A.L. Blatz's profile →
Citations per field
00.5×3.3×
A.L. Blatz · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Sigg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Sigg Line = papers co-authored together Daniel Sigg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Voltage-Sensing Residues in the S2 and S4 Segments of the Shaker K+ Channel
Hit paper breakdown →
1996589
2 2001116
3 1997109
4 199883
5 199482
6 199965
7 201461
8 200359
9 201450
10 201646
11 200442
12 201239
13 200338
14 201035
15 201033
16 200130
17
Quantifying transient ischemic dilation using gated SPECT.
200529
18 201220
19 20139
20 20246

About Daniel Sigg

Daniel Sigg is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (19 papers), Cardiac electrophysiology and arrhythmias (11 papers), Neuroscience and Neural Engineering (10 papers), Neuroscience and Neuropharmacology Research (7 papers), stochastic dynamics and bifurcation (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Electrochemical Analysis and Applications (3 papers) and Theoretical and Computational Physics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (853 citations), Cardiology and Cardiovascular Medicine (606 citations), Electrochemistry (136 citations), Molecular Biology (1.3k citations) and Sensory Systems (67 citations). Daniel Sigg has collaborated with scholars based in United States, Chile and Switzerland. Frequent 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. Their work appears in journals such as The Journal of General Physiology, Biophysical Journal, Proceedings of the National Academy of Sciences, Neuron and The Journal of Chemical Physics.

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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