P. Müller-Preuß
- Cognitive Neuroscience top 5%
- Behavioral Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Social Psychology top 10%
- Biological Psychiatry top 5%
- Co-authors
- Uwe JürgensCornelia FlachskammUlla MitzdorfJohannes M. H. M. ReulMarike LancelJonathan NewmanA. BieserAiling Lu
- Topics
- Stress Responses and Cortisol (6 papers)Sleep and Wakefulness Research (6 papers)Neural dynamics and brain function (4 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
P. Müller-Preuß
17 papers receiving 696 citations
Peers
Comparison fields: 5 of 74
- Cognitive Neuroscience 372
- Behavioral Neuroscience 211
- Cellular and Molecular Neuroscience 132
- Social Psychology 129
- Biological Psychiatry 122
Countries citing papers authored by P. Müller-Preuß
This map shows the geographic impact of P. Müller-Preuß'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 P. Müller-Preuß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Müller-Preuß more than expected).
Fields of papers citing papers by P. Müller-Preuß
This network shows the impact of papers produced by P. Müller-Preuß. 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 P. Müller-Preuß. The network helps show where P. Müller-Preuß may publish in the future.
Co-authorship network of co-authors of P. Müller-Preuß
This figure shows the co-authorship network connecting the top 25 collaborators of P. Müller-Preuß. A scholar is included among the top collaborators of P. Müller-Preuß based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Müller-Preuß. P. Müller-Preuß is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 90 | |
| 2 | Depression and sleep: a comparative study on EEG activity after different antidepressant treatments in mice | 1 |
| 3 | CRH-receptor type 1 knockout mice as a tool to explore the role of orexin a in sleep regulation | 1 |
| 4 | Site-specific CRH overexpression alters sleep in transgenic mice | 4 |
| 5 | 3 | |
| 6 | 39 | |
| 7 | 23 | |
| 8 | 3 | |
| 9 | Effect of bacterial endotoxin and interleukin-1 beta on hippocampal serotonergic neurotransmission, behavioral activity, and free corticosterone levels | 1 |
| 10 | 182 | |
| 11 | 52 | |
| 12 | 41 | |
| 13 | Correlations between hearing and vocal activity in man and the squirrel monkey | 1 |
| 14 | 14 | |
| 15 | 86 | |
| 16 | 80 | |
| 17 | 93 |
About P. Müller-Preuß
P. Müller-Preuß is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Endocrine and Autonomic Systems, having authored 17 papers that have together received 714 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (6 papers), Sleep and Wakefulness Research (6 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Behavioral Neuroscience (211 citations), Biological Psychiatry (122 citations) and Developmental Biology (52 citations). P. Müller-Preuß has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Uwe Jürgens, Cornelia Flachskamm, Ulla Mitzdorf, Johannes M. H. M. Reul, Marike Lancel, Jonathan Newman, A. Bieser, Ailing Lu, Mayumi Kimura and Jan M. Deussing. Their work appears in journals such as Journal of Neuroscience, Brain Research and Molecular Psychiatry.
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.