László Péczely

558 citations
38 papers · 429 · h-index 15

Impact in

Papers in

László Péczely

38 papers receiving 428 citations

Peers

László Péczely
Comparison fields: 5 of 59
  • Behavioral Neuroscience 52
  • Cellular and Molecular Neuroscience 240
  • Endocrine and Autonomic Systems 82
  • Reproductive Medicine 55
  • Pharmacy 28
Replace Tamás Ollmann with:
Tamás Ollmann Hungary
Kristóf László Hungary
Veronica Diaz United States
Dongyu Wei United States
Rita Gálosi Hungary
Vinícius Elias de Moura Oliveira Germany
G. C. M. Harris United States
Ana Martín‐Sánchez Spain
Dilip Verma Austria
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 201533
2 201732
3 200930
4 202225
5 201224
6 201124
7 201022
8 201719
9 201716
10 201415
11 201615
12 202015
13 201514
14 201414
15 201414
16 201514
17 201411
18 201710
19 202210
20 201410

About László Péczely

László Péczely is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Social Psychology, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 38 papers that have together received 429 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (16 papers), Neuropeptides and Animal Physiology (15 papers), Neuroendocrine regulation and behavior (13 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Neuroscience and Neuropharmacology Research (7 papers), Hypothalamic control of reproductive hormones (6 papers), Regulation of Appetite and Obesity (6 papers) and Biochemical Analysis and Sensing Techniques (4 papers). The work is most often cited by research in Behavioral Neuroscience (52 citations), Cellular and Molecular Neuroscience (240 citations), Endocrine and Autonomic Systems (82 citations), Reproductive Medicine (55 citations) and Pharmacy (28 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 Research and Brain Research.

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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