Sabine Sewing

3.9k total citations · 1 hit paper
40 papers, 3.0k citations indexed

About

Sabine Sewing is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sabine Sewing has authored 40 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 15 papers in Surgery and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sabine Sewing's work include Pancreatic function and diabetes (15 papers), Ion channel regulation and function (12 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Sabine Sewing is often cited by papers focused on Pancreatic function and diabetes (15 papers), Ion channel regulation and function (12 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Sabine Sewing collaborates with scholars based in Switzerland, Germany and United Kingdom. Sabine Sewing's co-authors include Olaf Pongs, Jesper Gromada, Alexander M. Efanov, Martin Stocker, Albert Salehi, Patrik Rorsman, Rüdiger W. Veh, Jochen Roeper, Klaus Schröter and J. P. Ruppersberg and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Neuron.

In The Last Decade

Sabine Sewing

40 papers receiving 2.9k citations

Hit Papers

Heteromultimeric channels formed by rat brain potassium-c... 1990 2026 2002 2014 1990 100 200 300

Peers

Sabine Sewing
Comparison fields: 5 of 105
  • Molecular Biology 2.1k
  • Surgery 996
  • Cellular and Molecular Neuroscience 929
  • Endocrinology, Diabetes and Metabolism 600
  • Cardiology and Cardiovascular Medicine 482
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Oleg G. Chepurny United States View profile →
Citations per field, relative to Sabine Sewing
Sabine Sewing · 1×
Citations per year, relative to Sabine Sewing
Sabine Sewing · 1×

Countries citing papers authored by Sabine Sewing

Since Specialization
Citations

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

Fields of papers citing papers by Sabine Sewing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Sewing

This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Sewing. A scholar is included among the top collaborators of Sabine Sewing 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 Sabine Sewing. Sabine Sewing 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
# Work Indexed citations
1 42
2 5
3 4
4 24
5 28
6 78
7 13
8 4
9 65
10 27
11 205
12 150
13 62
14 4
15 116
16 10
17 291
18 7
19 1
20
Heteromultimeric channels formed by rat brain potassium-channel proteins breakdown →
366

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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