Daniël P. van Kammen
- Psychiatry and Mental health top 0.2%
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 1%
- Molecular Biology top 5%
- Biological Psychiatry top 0.1%
- Co-authors
- Jeffrey YaoRavinder ReddyMary E. KelleySteven D. FormanJohn A. GurklisDennis L. MurphyStuart R. SteinhauerWilliam E. Bunney
- Topics
- Schizophrenia research and treatment (89 papers)Tryptophan and brain disorders (37 papers)Neurotransmitter Receptor Influence on Behavior (29 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniël P. van Kammen
216 papers receiving 7.1k citations
Peers
Comparison fields: 5 of 148
- Psychiatry and Mental health 3.6k
- Cellular and Molecular Neuroscience 2.1k
- Cognitive Neuroscience 1.7k
- Molecular Biology 1.4k
- Biological Psychiatry 1.3k
Countries citing papers authored by Daniël P. van Kammen
This map shows the geographic impact of Daniël P. van Kammen'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 Daniël P. van Kammen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniël P. van Kammen more than expected).
Fields of papers citing papers by Daniël P. van Kammen
This network shows the impact of papers produced by Daniël P. van Kammen. 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 Daniël P. van Kammen. The network helps show where Daniël P. van Kammen may publish in the future.
Co-authorship network of co-authors of Daniël P. van Kammen
This figure shows the co-authorship network connecting the top 25 collaborators of Daniël P. van Kammen. A scholar is included among the top collaborators of Daniël P. van Kammen 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 Daniël P. van Kammen. Daniël P. van Kammen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 25 | |
| 3 | 50 | |
| 4 | 67 | |
| 5 | 61 | |
| 6 | 23 | |
| 7 | 27 | |
| 8 | 63 | |
| 9 | 33 | |
| 10 | 18 | |
| 11 | 6 | |
| 12 | 36 | |
| 13 | 1 | |
| 14 | 79 | |
| 15 | 15 | |
| 16 | 33 | |
| 17 | Models for the development of the visual cortex | 2 |
| 18 | 7 | |
| 19 | 18 | |
| 20 | Amphetamine increases prolactin but neither growth hormone nor β-endorphin immunoreactivity in schizophrenic patients | 5 |
About Daniël P. van Kammen
Daniël P. van Kammen is a scholar working on Biological Psychiatry, Psychiatry and Mental health and Behavioral Neuroscience, having authored 218 papers that have together received 7.6k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (89 papers), Tryptophan and brain disorders (37 papers) and Neurotransmitter Receptor Influence on Behavior (29 papers). The work is most often cited by research in Biological Psychiatry (1.3k citations), Psychiatry and Mental health (3.6k citations) and Behavioral Neuroscience (515 citations). Daniël P. van Kammen has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jeffrey Yao, Ravinder Reddy, Mary E. Kelley, Steven D. Forman, John A. Gurklis, Dennis L. Murphy, Stuart R. Steinhauer, William E. Bunney, Daniel N. Allen and John P. Docherty. Their work appears in journals such as Science, New England Journal of Medicine and JAMA.
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.