Dietrich van Calker
- Physiology top 0.05%
- Adenosine and Purinergic Signaling 23
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders 9
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 10
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- Neuroscience and Neuropharmacology Research 22
- Neuropeptides and Animal Physiology 8
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- Bipolar Disorder and Treatment 18
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- Treatment of Major Depression 9
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- Receptor Mechanisms and Signaling 8
- Co-authors
- Bernd HamprechtMargarete MüllerThomas BergerKnut BiberTsvetan SerchovPeter J. Gebicke‐HaerterKlaus LiebBernd L. Fiebich
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Dietrich van Calker
90 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Physiology 1.9k
- Biological Psychiatry 426
- Neurology 825
- Cellular and Molecular Neuroscience 1.7k
- Endocrine and Autonomic Systems 374
Countries citing papers authored by Dietrich van Calker
This map shows the geographic impact of Dietrich van Calker'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 Dietrich van Calker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dietrich van Calker more than expected).
Fields of papers citing papers by Dietrich van Calker
This network shows the impact of papers produced by Dietrich van Calker. 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 Dietrich van Calker. The network helps show where Dietrich van Calker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dietrich van Calker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 94 | |
| 2 | 2019 | 36 | |
| 3 | 2018 | 28 | |
| 4 | 2015 | 60 | |
| 5 | 2011 | 36 | |
| 6 | 2008 | 65 | |
| 7 | 2005 | 3 | |
| 8 | 2005 | 34 | |
| 9 | 2005 | 57 | |
| 10 | 2004 | 27 | |
| 11 | 2004 | 8 | |
| 12 | 2004 | 4 | |
| 13 | 2002 | 33 | |
| 14 | 2001 | 62 | |
| 15 | 1996 | 35 | |
| 16 | 1996 | 193 | |
| 17 | 1996 | 100 | |
| 18 | 1995 | 20 | |
| 19 | 1993 | 32 | |
| 20 | 1991 | 44 |
About Dietrich van Calker
Dietrich van Calker is a scholar working on Physiology, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 90 papers that have together received 4.9k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (23 papers), Neuroscience and Neuropharmacology Research (22 papers), Bipolar Disorder and Treatment (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Tryptophan and brain disorders (9 papers), Treatment of Major Depression (9 papers), Neuropeptides and Animal Physiology (8 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Physiology (1.9k citations), Biological Psychiatry (426 citations) and Neurology (825 citations). Dietrich van Calker has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Bernd Hamprecht, Margarete Müller, Thomas Berger, Knut Biber, Tsvetan Serchov, Peter J. Gebicke‐Haerter, Klaus Lieb, Bernd L. Fiebich, Dieter Riemann and Joachim Bauer. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.