Lutz Pott

3.2k citations
95 papers · 2.8k indexed · h-index 29

Impact in

Papers in

Lutz Pott

94 papers receiving 2.7k citations

Peers

Lutz Pott
Comparison fields: 5 of 96
  • Cardiology and Cardiovascular Medicine 1.4k
  • Cellular and Molecular Neuroscience 1.0k
  • Molecular Biology 2.4k
  • Physiology 137
  • Cell Biology 302
Replace Nora Rosemblit with:
Nora Rosemblit United States
Geert Callewaert Belgium
Duane D. Hall United States
Andrea Brüggemann Germany
Julio A. Copello United States
Nagomi Kurebayashi Japan
Eitan Reuveny Israel
Mark Hnatowich Canada
George G. Rodney United States
Siyi Feng United States
Lutz Pott relative to Nora Rosemblit United States Nora Rosemblit's profile →
Citations per field
00.5×2.6×
Nora Rosemblit · 1×
Citations per year

Countries citing papers authored by Lutz Pott

Since Specialization
Citations

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

Fields of papers citing papers by Lutz Pott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Lutz Pott, 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 Lutz Pott Line = papers co-authored together Lutz Pott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20197
2 20168
3 201414
4 201331
5 201119
6 20099
7 200721
8 20055
9 200439
10 200315
11 20001
12 199812
13 19978
14 199639
15 19954
16 19935
17 19917
18 199018
19 199061
20 198920

About Lutz Pott

Lutz Pott is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Cell Biology, having authored 95 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (72 papers), Cardiac electrophysiology and arrhythmias (62 papers), Neuroscience and Neural Engineering (28 papers), Receptor Mechanisms and Signaling (27 papers), Neuroscience and Neuropharmacology Research (14 papers), Lipid Membrane Structure and Behavior (6 papers), Sphingolipid Metabolism and Signaling (5 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Cellular and Molecular Neuroscience (1.0k citations), Molecular Biology (2.4k citations), Physiology (137 citations) and Cell Biology (302 citations). Lutz Pott has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Peter Lipp, Moritz Bünemann, Kirsten Bender, Martin Bechem, Bodo Brandts, H. G. Glitsch, Marie‐Cécile Wellner‐Kienitz, Thomas Meyer, Chris J. van Koppen and Dagmar Meyer zu Heringdorf. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, The Journal of Physiology, Journal of Biological Chemistry, Journal of Molecular and Cellular Cardiology and FEBS Letters.

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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