László Péczely

554 citations
38 papers · 418 indexed · h-index 15

Impact in

Papers in

László Péczely

38 papers receiving 417 citations

Peers

László Péczely
Comparison fields: 5 of 59
  • Behavioral Neuroscience 60
  • Cellular and Molecular Neuroscience 244
  • Endocrine and Autonomic Systems 87
  • Reproductive Medicine 57
  • Social Psychology 129
Replace Tamás Ollmann with:
Tamás Ollmann Hungary
Kristóf László Hungary
Veronica Diaz United States
Azucena Valencia Spain
Dongyu Wei United States
Rita Gálosi Hungary
G. C. M. Harris United States
Vinícius Elias de Moura Oliveira Germany
Nicholas A. Everett Australia
László Péczely relative to Tamás Ollmann Hungary Tamás Ollmann's profile →
Citations per field
00.5×1.5×
Tamás Ollmann · 1×
Citations per year

Countries citing papers authored by László Péczely

Since Specialization
Citations

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

Fields of papers citing papers by László Péczely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside László Péczely, 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 Péczely Line = papers co-authored together László Péczely links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201532
2 201731
3 200930
4 201224
5 201124
6 202224
7 201022
8 201717
9 201615
10 201415
11 201714
12 201514
13 201414
14 201414
15 202014
16 201514
17 201411
18 201410
19 201710
20 202210

About László Péczely

László Péczely is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Behavioral Neuroscience, Reproductive Medicine and Social Psychology, having authored 38 papers that have together received 418 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (17 papers), Neuropeptides and Animal Physiology (15 papers), Neurotransmitter Receptor Influence on Behavior (13 papers), Neuroendocrine regulation and behavior (13 papers), Neuroscience and Neuropharmacology Research (7 papers), Regulation of Appetite and Obesity (6 papers), Hypothalamic control of reproductive hormones (6 papers) and Memory and Neural Mechanisms (5 papers). The work is most often cited by research in Behavioral Neuroscience (60 citations), Cellular and Molecular Neuroscience (244 citations), Endocrine and Autonomic Systems (87 citations), Reproductive Medicine (57 citations) and Social Psychology (129 citations). László Péczely has collaborated with scholars based in Hungary and United States. Frequent co-authors include László Lénárd, Kristóf László, Tamás Ollmann, Erika Kertes, Rita Gálosi, Anita Kovács, Zoltán Karádi, Krisztián Tóth, Á. Kovács and Attila Tóth. Their work appears in journals such as Behavioural Brain Research, Biomedicines, Scientific Reports, Neuroscience & Biobehavioral Reviews and Neuropeptides.

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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