Peter Graw

40 papers receiving 1.8k citations

Peers

Peter Graw
Comparison fields: 5 of 112
  • Endocrine and Autonomic Systems 1.0k
  • Experimental and Cognitive Psychology 878
  • Biological Psychiatry 115
  • Cognitive Neuroscience 712
  • Behavioral Neuroscience 59
Replace Clifford M. Singer with:
Clifford M. Singer United States
Jiuan Su Terman United States
H. Giedke Germany
Jennifer R. Redman Australia
Leonid Kayumov Canada
Antoinette L. Bouhuys Netherlands
Ybe Meesters Netherlands
R. Lund Germany
Stefan Cohrs Germany
Kathryn A. Roecklein United States
Peter Graw relative to Clifford M. Singer United States Clifford M. Singer's profile →
Citations per field
00.5×1.5×
Clifford M. Singer · 1×
Citations per year

Countries citing papers authored by Peter Graw

Since Specialization
Citations

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

Fields of papers citing papers by Peter Graw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995291
2 1997177
3 2006173
4 2004166
5 1986162
6 1996150
7 1996113
8 199779
9 200065
10 200358
11 199054
12 198752
13 199049
14 200143
15 199542
16 199338
17 199938
18 200333
19 199830
20 199428

About Peter Graw

Peter Graw is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Experimental and Cognitive Psychology and Physiology, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (26 papers), Sleep and Wakefulness Research (6 papers), Olfactory and Sensory Function Studies (4 papers), Sleep and Work-Related Fatigue (4 papers), Tryptophan and brain disorders (4 papers), Sleep and related disorders (4 papers), Health and Medical Studies (4 papers) and Behavioral Health and Interventions (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.0k citations), Experimental and Cognitive Psychology (878 citations), Biological Psychiatry (115 citations), Cognitive Neuroscience (712 citations) and Behavioral Neuroscience (59 citations). Peter Graw has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Anna Wirz‐Justice, Kurt Kräuchi, Christian Cajochen, Daniel P. Brunner, Vera Knoblauch, P Kielholz, Daisuke Mori, Hans U. Fisch, Joséphine Arendt and Katharina Blatter. Their work appears in journals such as Pharmacopsychiatry, Journal of Affective Disorders, Psychiatry Research, Behavioural Brain Research and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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