Elek Molnár

8.3k citations
108 papers · 7.2k · h-index 43

Impact in

Papers in

Elek Molnár

106 papers receiving 7.0k citations

Peers

Elek Molnár
Comparison fields: 5 of 113
  • Cellular and Molecular Neuroscience 5.2k
  • Developmental Neuroscience 574
  • Neurology 889
  • Cognitive Neuroscience 1.6k
  • Molecular Biology 3.8k
Replace Thomas J. O’Dell with:
Thomas J. O’Dell United States
F. Anne Stephenson United Kingdom
Christophe Mulle France
Yugo Fukazawa Japan
Ákos Kulik Germany
Gavin Rumbaugh United States
Wade Morishita United States
John T. R. Isaac United Kingdom
J. David B. Roberts United Kingdom
Richard Robitaille Canada
Elek Molnár relative to Thomas J. O’Dell United States Thomas J. O’Dell's profile →
Citations per field
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Thomas J. O’Dell · 1×
Citations per year

Countries citing papers authored by Elek Molnár

Since Specialization
Citations

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

Fields of papers citing papers by Elek Molnár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998693
2 2004583
3 1998477
4 1995268
5 1999265
6 2012204
7 2000188
8 2000184
9 2009184
10 1993179
11 1999175
12 2008164
13 2006155
14 2007147
15 2006144
16 2005143
17 1998137
18 2002130
19 1994125
20 1996108

About Elek Molnár

Elek Molnár is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Cognitive Neuroscience and Developmental Neuroscience, having authored 108 papers that have together received 7.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (74 papers), Ion channel regulation and function (24 papers), Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Receptor Mechanisms and Signaling (16 papers), Photoreceptor and optogenetics research (15 papers), Lipid Membrane Structure and Behavior (12 papers), Memory and Neural Mechanisms (12 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.2k citations), Developmental Neuroscience (574 citations), Neurology (889 citations), Cognitive Neuroscience (1.6k citations) and Molecular Biology (3.8k citations). Elek Molnár has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Graham L. Collingridge, Péter Somogyi, Jeremy Martin Henley, Zoltán Nusser, Jacques Noël, R. A. Jeffrey McIlhinney, Anikó Váradi, Lisa Pickard, Rafael Luján and Zafar Iqbal Bashir. Their work appears in journals such as Journal of Neurochemistry, Journal of Neuroscience, Neuropharmacology, Biochimica et Biophysica Acta (BBA) - Biomembranes and Neuroscience.

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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