László Lénárd

3.6k citations
141 papers · 2.9k indexed · h-index 26

Impact in

Papers in

László Lénárd

141 papers receiving 2.8k citations

Peers

László Lénárd
Comparison fields: 5 of 124
  • Endocrine and Autonomic Systems 675
  • Cellular and Molecular Neuroscience 1.2k
  • Sensory Systems 295
  • Behavioral Neuroscience 175
  • Cognitive Neuroscience 636
Replace Panayotis K. Thanos with:
Panayotis K. Thanos United States
Jocelyn M. Richard United States
Patricia S. Grigson United States
Rosalinda Guevara‐Guzmán Mexico
Ursula F. Bailer Austria
Luis A. Téllez United States
Matthew J. Will United States
G.P. Smith United States
John D. Beaver United Kingdom
Michael Michaelides United States
László Lénárd relative to Panayotis K. Thanos United States Panayotis K. Thanos's profile →
Citations per field
00.5×2.8×
Panayotis K. Thanos · 1×
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 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983313
2 1999191
3 2007148
4 2009117
5 200286
6 198663
7 199357
8 198954
9 199751
10 199447
11 201147
12 200946
13 198246
14 199944
15 200942
16 201240
17 200936
18 200835
19 201532
20 199532

About László Lénárd

László Lénárd is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Sensory Systems and Cognitive Neuroscience, having authored 141 papers that have together received 2.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (39 papers), Neuropeptides and Animal Physiology (37 papers), Neurotransmitter Receptor Influence on Behavior (28 papers), Regulation of Appetite and Obesity (27 papers), Neuroscience and Neuropharmacology Research (21 papers), Neuroendocrine regulation and behavior (20 papers), Biochemical Analysis and Sensing Techniques (19 papers) and Memory and Neural Mechanisms (11 papers). The work is most often cited by research in Endocrine and Autonomic Systems (675 citations), Cellular and Molecular Neuroscience (1.2k citations), Sensory Systems (295 citations), Behavioral Neuroscience (175 citations) and Cognitive Neuroscience (636 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, Luis Hernández, Anthony P. Monaco, B. Glenn Stanley and Edward F. Aulisi. Their work appears in journals such as Behavioural Brain Research, Brain Research, Biomedicines, Scientific Reports and Appetite.

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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