Peter Salchner

1.2k citations
16 papers · 1k · h-index 11

Impact in

Papers in

Peter Salchner

16 papers receiving 1k citations

Peers

Peter Salchner
Comparison fields: 5 of 59
  • Behavioral Neuroscience 239
  • Cellular and Molecular Neuroscience 544
  • Cognitive Neuroscience 234
  • Aging 17
  • Endocrine and Autonomic Systems 51
Replace Lisa H. Conti with:
Lisa H. Conti United States
Jon K. Shepherd United States
Craig J. Slawecki United States
Antônio Pedro de Mello Cruz Brazil
Janet L. Menard Canada
Rose‐Marie Vouimba Israel
Pallab Seth India
Rob P.W. Heinsbroek Netherlands
Rachel E. Bowman United States
Emiliano Brunamonti Italy
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Citations per field
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Citations per year

Countries citing papers authored by Peter Salchner

Since Specialization
Citations

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

Fields of papers citing papers by Peter Salchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2003285
2 2003165
3 2004122
4 2006101
5 200376
6 200966
7 200257
8 200249
9 200638
10 200628
11 200422
12 200411
13 20038
14
Reliability of high and low anxiety-related behaviour: influence of laboratory environment and multifactorial analysis
20022
15 20032
16
High-anxiety and low-anxiety rats display differences in CNS Fos expression in response to open field exposure
20021

About Peter Salchner

Peter Salchner is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Small Animals, having authored 16 papers that have together received 1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (11 papers), Stress Responses and Cortisol (8 papers), Memory and Neural Mechanisms (7 papers), Neuroscience and Neuropharmacology Research (3 papers), Neonatal and fetal brain pathology (2 papers), Blood Pressure and Hypertension Studies (1 paper), Animal Behavior and Welfare Studies (1 paper) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). The work is most often cited by research in Behavioral Neuroscience (239 citations), Cellular and Molecular Neuroscience (544 citations), Cognitive Neuroscience (234 citations), Aging (17 citations) and Endocrine and Autonomic Systems (51 citations). Peter Salchner has collaborated with scholars based in Austria, Germany and France. Frequent co-authors include Nicolas Singewald, Trevor Sharp, Rainer Landgraf, Alexandra Wigger, Nicolas Salomé, Gert Lübec, Henrique Sequeira, Odile Viltart, Annamaria Vezzani and Claudia Balducci. Their work appears in journals such as Behavioural Brain Research, Neuropharmacology, Journal of Investigative Medicine, Biological Psychiatry and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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