Daniël P. van Kammen

10.0k citations
218 papers · 7.6k indexed · h-index 51

Daniël P. van Kammen

216 papers receiving 7.1k citations

Peers

Daniël P. van Kammen
Comparison fields: 5 of 148
  • Biological Psychiatry 1.3k
  • Psychiatry and Mental health 3.6k
  • Behavioral Neuroscience 515
  • Cellular and Molecular Neuroscience 2.1k
  • Cognitive Neuroscience 1.7k
Replace David Copolov with:
David Copolov Australia
H. Beckmann Germany
David Pickar United States
Herbert Y. Meltzer United States
Robert R. Conley United States
James B. Lohr United States
Ariel Graff‐Guerrero Canada
H. M. van Praag Netherlands
Richard Jed Wyatt United States
Ronald Bottlender Germany
Daniël P. van Kammen relative to David Copolov Australia David Copolov's profile →
Citations per field
00.5×1.5×
David Copolov · 1×
Citations per year

Countries citing papers authored by Daniël P. van Kammen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 200730
2 200325
3 200050
4 199967
5 199861
6 199723
7 199627
8 199663
9 199533
10 199418
11 19946
12 199336
13 19921
14 199179
15 199115
16 199033
17
Models for the development of the visual cortex
19892
18 19887
19 198818
20
Amphetamine increases prolactin but neither growth hormone nor β-endorphin immunoreactivity in schizophrenic patients
19815

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), Neurotransmitter Receptor Influence on Behavior (29 papers), Neuroscience and Neuropharmacology Research (27 papers), Bipolar Disorder and Treatment (25 papers), Stress Responses and Cortisol (14 papers), Receptor Mechanisms and Signaling (14 papers) and Treatment of Major Depression (14 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 Schizophrenia Research, American Journal of Psychiatry, Biological Psychiatry, Psychiatry Research and PLoS Currents.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026