Daniel R. Staub

848 citations
10 papers · 623 indexed · h-index 9

Impact in

Papers in

Daniel R. Staub

10 papers receiving 619 citations

Peers

Daniel R. Staub
Comparison fields: 5 of 69
  • Behavioral Neuroscience 289
  • Biological Psychiatry 101
  • Cellular and Molecular Neuroscience 306
  • Social Psychology 235
  • Endocrine and Autonomic Systems 71
Replace J.K. Abrams with:
J.K. Abrams United Kingdom
Markus S.H. Henniger Germany
Eduardo F. Carvalho-Netto Brazil
Kimberly R. Lezak United States
Jaclyn I. Wamsteeker Cusulin Canada
Toni-Lee Sterley Canada
C.A. Marsden United Kingdom
David Rotllant Spain
Kadri Kõiv Estonia
Patrik Muigg Austria
Daniel R. Staub relative to J.K. Abrams United Kingdom J.K. Abrams's profile →
Citations per field
00.5×1.5×1.9×
J.K. Abrams · 1×
Citations per year

Countries citing papers authored by Daniel R. Staub

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Staub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Staub. 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 Daniel R. Staub. The network helps show where Daniel R. Staub may publish in the future.

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 201313
2 201124
3 201129
4 201028
5 2008219
6 2007146
7 200661
8
Effects of urocortin 2 on behavior and c-Fos expression in topographically organized subpopulations of serotonergic neurons
20051
9 200564
10 200538

About Daniel R. Staub

Daniel R. Staub is a scholar working on Behavioral Neuroscience, Biological Psychiatry, Social Psychology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 623 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (9 papers), Neuroendocrine regulation and behavior (6 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Tryptophan and brain disorders (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Estrogen and related hormone effects (1 paper), Adipose Tissue and Metabolism (1 paper) and Menopause: Health Impacts and Treatments (1 paper). The work is most often cited by research in Behavioral Neuroscience (289 citations), Biological Psychiatry (101 citations), Cellular and Molecular Neuroscience (306 citations), Social Psychology (235 citations) and Endocrine and Autonomic Systems (71 citations). Daniel R. Staub has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Christopher A. Lowry, Matthew W. Hale, Anantha Shekhar, Andrew K. Evans, Francesca Spiga, Jasper Heerkens, Paul J. Gasser, J. Adriaan Bouwknecht, Lynn G. Kirby and Christopher E. Stamper. Their work appears in journals such as Brain Research, Experimental Neurology, Endocrinology, Neuroscience and Psychoneuroendocrinology.

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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