Lukas Weigl

860 citations
39 papers · 701 · h-index 17

Impact in

Papers in

Lukas Weigl

36 papers receiving 685 citations

Peers

Lukas Weigl
Comparison fields: 5 of 84
  • Cellular and Molecular Neuroscience 226
  • Physiology 40
  • Sensory Systems 40
  • Molecular Biology 427
  • Cardiology and Cardiovascular Medicine 114
Replace János Fodor with:
János Fodor Hungary
Melanie E. M. Kelly Canada
Yoshiaki Suzuki Japan
Masataka Ifuku Japan
Mariko Sumi Japan
Sooyeon Jo United States
Tonia E. Tse United States
Klaus Rüether Germany
Travis P. Barr United States
Michael Kurnellas United States
Lukas Weigl relative to János Fodor Hungary János Fodor's profile →
Citations per field
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János Fodor · 1×
Citations per year

Countries citing papers authored by Lukas Weigl

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Weigl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199285
2 200582
3 199346
4 200637
5 201836
6 201236
7 200135
8 200033
9 202331
10 199131
11 201424
12 199223
13 200322
14 200419
15 201719
16 200318
17 202217
18 199915
19 199515
20 200811

About Lukas Weigl

Lukas Weigl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Rheumatology and Physiology, having authored 39 papers that have together received 701 indexed citations. Recurring topics across this work include Ion channel regulation and function (18 papers), Cardiac electrophysiology and arrhythmias (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Neuroscience and Neural Engineering (3 papers), Exercise and Physiological Responses (3 papers), Adenosine and Purinergic Signaling (2 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (226 citations), Physiology (40 citations), Sensory Systems (40 citations), Molecular Biology (427 citations) and Cardiology and Cardiovascular Medicine (114 citations). Lukas Weigl has collaborated with scholars based in Austria, Israel and Italy. Frequent co-authors include Wolfgang Schreibmayer, M. Hohenegger, Ilana Lotan, Bibiane Steinecker-Frohnwieser, Nathan Dascal, Hans G. Kress, Birgit Lohberger, Martin Wallner, Werner Kullich and Martin Werner. Their work appears in journals such as FEBS Letters, Anesthesia & Analgesia, International Journal of Molecular Sciences, Molecular Pharmacology and Osteoarthritis and Cartilage.

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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