László Lénárd

3.7k citations
146 papers · 3.1k · h-index 27

Impact in

Papers in

László Lénárd

143 papers receiving 3.0k citations

Peers

László Lénárd
Comparison fields: 5 of 125
  • Endocrine and Autonomic Systems 680
  • Sensory Systems 333
  • Cellular and Molecular Neuroscience 1.3k
  • Behavioral Neuroscience 165
  • Cognitive Neuroscience 647
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Amadeo Puerto Spain
Panayotis K. Thanos United States
Jocelyn M. Richard United States
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Rosalinda Guevara‐Guzmán Mexico
G.P. Smith United States
Kenny J. Simansky United States
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Citations per field
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Citations per year

Countries citing papers authored by László Lénárd

Since Specialization
Citations

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

Fields of papers citing papers by László Lénárd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983322
2 1999229
3 2007161
4 2009119
5 200293
6 198671
7 199367
8 198960
9 199755
10 199449
11 198248
12 199946
13 200946
14 201146
15 201243
16 200942
17 200837
18 200936
19 201534
20 198733

About László Lénárd

László Lénárd is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Cognitive Neuroscience, Nutrition and Dietetics and Social Psychology, having authored 146 papers that have together received 3.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (38 papers), Neuropeptides and Animal Physiology (37 papers), Neurotransmitter Receptor Influence on Behavior (27 papers), Regulation of Appetite and Obesity (27 papers), Neuroendocrine regulation and behavior (21 papers), Neuroscience and Neuropharmacology Research (21 papers), Biochemical Analysis and Sensing Techniques (18 papers) and Olfactory and Sensory Function Studies (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (680 citations), Sensory Systems (333 citations), Cellular and Molecular Neuroscience (1.3k citations), Behavioral Neuroscience (165 citations) and Cognitive Neuroscience (647 citations). László Lénárd has collaborated with scholars based in Hungary, Japan and United Kingdom. Frequent co-authors include Zoltán Karádi, Renáta Cserjési, Kristóf László, Olivier Luminet, Erika Kertes, Bartley G. Hoebel, István Hernádi, László Péczely, Edward F. Aulisi and B. Glenn Stanley. Their work appears in journals such as Behavioural Brain Research, Brain Research, Biomedicines, Appetite and Scientific Reports.

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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