Michael G. Leitner

1.0k citations
30 papers · 688 · h-index 17

Impact in

Papers in

Michael G. Leitner

30 papers receiving 685 citations

Peers

Michael G. Leitner
Comparison fields: 5 of 82
  • Sensory Systems 170
  • Cellular and Molecular Neuroscience 204
  • Molecular Biology 416
  • Cell Biology 88
  • Physiology 20
Replace Astrid Kollewe with:
Astrid Kollewe Germany
Raul E. Guzman Germany
Seth Malmersjö Sweden
Elías Leiva‐Salcedo Chile
Michelle C. Catlin United States
Manjot Bal United States
Christian R. Halaszovich Germany
Laura Fedrizzi Italy
Tomasz Węgierski Poland
Michael Kirmiz United States
Michael G. Leitner relative to Astrid Kollewe Germany Astrid Kollewe's profile →
Citations per field
00.5×2.7×
Astrid Kollewe · 1×
Citations per year

Countries citing papers authored by Michael G. Leitner

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Leitner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Leitner. 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 Michael G. Leitner. The network helps show where Michael G. Leitner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201470
2 201160
3 201554
4 201648
5 201047
6 201541
7 201141
8 202041
9 201138
10 201136
11 201525
12 201222
13 202021
14 202117
15 201717
16 201916
17 201416
18 201515
19 201511
20 20189

About Michael G. Leitner

Michael G. Leitner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Sensory Systems, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 30 papers that have together received 688 indexed citations. Recurring topics across this work include Ion channel regulation and function (11 papers), Neuroscience and Neuropharmacology Research (8 papers), Ion Channels and Receptors (8 papers), Cardiac electrophysiology and arrhythmias (5 papers), Cellular transport and secretion (5 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Sensory Systems (170 citations), Cellular and Molecular Neuroscience (204 citations), Molecular Biology (416 citations), Cell Biology (88 citations) and Physiology (20 citations). Michael G. Leitner has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Dominik Oliver, Christian R. Halaszovich, Moritz Lindner, Michaela Kress, Daniela Schreiber, Kai K. Kummer, Johannes Oberwinkler, Maik Konrad, Anja Feuer and Norbert Mair. Their work appears in journals such as British Journal of Pharmacology, Proceedings of the National Academy of Sciences, Cellular and Molecular Life Sciences, Frontiers in Molecular Neuroscience and Frontiers in Pharmacology.

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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