Walter Lerchner

1.5k citations
16 papers · 1.0k · h-index 10

Impact in

Papers in

Walter Lerchner

15 papers receiving 1.0k citations

Peers

Walter Lerchner
Comparison fields: 5 of 84
  • Behavioral Neuroscience 77
  • Cellular and Molecular Neuroscience 307
  • Endocrine and Autonomic Systems 72
  • Cognitive Neuroscience 195
  • Molecular Biology 613
Replace Carl O. Olson with:
Carl O. Olson Canada
Ayla Aksoy‐Aksel Germany
Silvia Mandillo Italy
Diana Simmons United States
Kimberly A. Smith United States
Hans Lipp Switzerland
James Eberwine United States
Jung M. Park United States
Shannon Farris United States
Prerana Shrestha United States
Walter Lerchner relative to Carl O. Olson Canada Carl O. Olson's profile →
Citations per field
00.5×1.6×
Carl O. Olson · 1×
Citations per year

Countries citing papers authored by Walter Lerchner

Since Specialization
Citations

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

Fields of papers citing papers by Walter Lerchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2000218
2 2014203
3 1997163
4 2007135
5 201590
6 200076
7 199758
8 201444
9 202025
10 202122
11
In vivo PET imaging of the behaviorally active designer receptor in macaque monkeys
20143
12 20212
13 20232
14 20231
15
Reversible DREADD inactivation of orbitofrontal cortex neurons in rhesus monkeys with contralateral rhinal cortex removal disrupts cued reward discrimination. I. Behavioral analysis.
20141
16 20240

About Walter Lerchner

Walter Lerchner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics and Social Psychology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Epigenetics and DNA Methylation (3 papers), Circadian rhythm and melatonin (2 papers), Genetic Syndromes and Imprinting (2 papers), Neural dynamics and brain function (2 papers), Photoreceptor and optogenetics research (2 papers), Neuroendocrine regulation and behavior (2 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Behavioral Neuroscience (77 citations), Cellular and Molecular Neuroscience (307 citations), Endocrine and Autonomic Systems (72 citations), Cognitive Neuroscience (195 citations) and Molecular Biology (613 citations). Walter Lerchner has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Denise P. Barlow, James C. Smith, Todd E. Anthony, David J. Anderson, Amy Bernard, Nathaniel Heintz, Nick Dee, Vincent T. Cunliffe, Muriel Umbhauer and Christopher J. Davies. Their work appears in journals such as Gene Therapy, Nature Neuroscience, Mechanisms of Development, Cell and Neuron.

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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