Natalie D. Veen

1.1k total citations
10 papers, 646 citations indexed

About

Natalie D. Veen is a scholar working on Psychiatry and Mental health, Social Psychology and Biological Psychiatry. According to data from OpenAlex, Natalie D. Veen has authored 10 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Psychiatry and Mental health, 4 papers in Social Psychology and 3 papers in Biological Psychiatry. Recurrent topics in Natalie D. Veen's work include Schizophrenia research and treatment (9 papers), Mental Health Treatment and Access (4 papers) and Tryptophan and brain disorders (3 papers). Natalie D. Veen is often cited by papers focused on Schizophrenia research and treatment (9 papers), Mental Health Treatment and Access (4 papers) and Tryptophan and brain disorders (3 papers). Natalie D. Veen collaborates with scholars based in Netherlands, United States and Belgium. Natalie D. Veen's co-authors include Hans W. Hoek, René S. Kahn, Jean‐Paul Selten, Ingeborg van der Tweel, Jean-Paul Selten, Jan Dirk Blom, Winfried Laan, Wim Veling, Yolanda van der Graaf and Yolanda van der Graaf and has published in prestigious journals such as American Journal of Psychiatry, The British Journal of Psychiatry and Schizophrenia Research.

In The Last Decade

Natalie D. Veen

9 papers receiving 605 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Natalie D. Veen Netherlands 8 418 278 197 164 92 10 646
Kathryn Elkins Australia 11 462 1.1× 281 1.0× 154 0.8× 92 0.6× 72 0.8× 21 671
Hannele Heilä Finland 16 544 1.3× 640 2.3× 286 1.5× 75 0.5× 59 0.6× 22 958
M Henriksson Finland 8 452 1.1× 625 2.2× 234 1.2× 121 0.7× 76 0.8× 9 828
T. Dalkin United Kingdom 6 458 1.1× 259 0.9× 201 1.0× 69 0.4× 34 0.4× 7 585
Ceri Jones United Kingdom 14 434 1.0× 349 1.3× 108 0.5× 55 0.3× 37 0.4× 18 724
C. Haasen Germany 13 252 0.6× 247 0.9× 114 0.6× 36 0.2× 68 0.7× 39 627
R L Spitzer United States 10 239 0.6× 296 1.1× 74 0.4× 74 0.5× 48 0.5× 10 537
Margaret L Kaplan United States 11 269 0.6× 562 2.0× 104 0.5× 28 0.2× 100 1.1× 12 699
David Brizer United States 13 142 0.3× 303 1.1× 77 0.4× 45 0.3× 120 1.3× 20 541
Rebecca Dulit United States 14 435 1.0× 953 3.4× 145 0.7× 29 0.2× 68 0.7× 21 1.1k

Countries citing papers authored by Natalie D. Veen

Since Specialization
Citations

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

Fields of papers citing papers by Natalie D. Veen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie D. Veen. 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 Natalie D. Veen. The network helps show where Natalie D. Veen may publish in the future.

Co-authorship network of co-authors of Natalie D. Veen

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie D. Veen. A scholar is included among the top collaborators of Natalie D. Veen 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 Natalie D. Veen. Natalie D. Veen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Gangadin, Shiral S., Inge Winter-van Rossum, Zimbo S. R. M. Boudewijns, et al.. (2021). The effect of prednisolone on symptom severity in schizophrenia: A placebo-controlled, randomized controlled trial. Schizophrenia Research. 230. 79–86. 11 indexed citations
3.
Sommer, Iris E., Shiral S. Gangadin, Renske E. Blom, et al.. (2020). Prednisolone versus placebo addition in the treatment of patients with recent-onset psychotic disorder: a trial design. Trials. 21(1). 492–492. 7 indexed citations
4.
Selten, Jean-Paul, Natalie D. Veen, Hans W. Hoek, et al.. (2007). Early course of schizophrenia in a representative Dutch incidence cohort. Schizophrenia Research. 97(1-3). 79–87. 32 indexed citations
5.
Veling, Wim, Jean‐Paul Selten, Natalie D. Veen, et al.. (2006). Incidence of schizophrenia among ethnic minorities in the Netherlands: A four-year first-contact study. Schizophrenia Research. 86(1-3). 189–193. 114 indexed citations
6.
Veen, Natalie D., Jean‐Paul Selten, Winfried Laan, et al.. (2004). Diagnostic stability in a Dutch psychosis incidence cohort. The British Journal of Psychiatry. 185(6). 460–464. 60 indexed citations
7.
Veen, Natalie D., et al.. (2004). Cannabis Use and Age at Onset of Schizophrenia. American Journal of Psychiatry. 161(3). 501–506. 187 indexed citations
8.
Veen, Natalie D., et al.. (2002). Use of illicit substances in a psychosis incidence cohort: a comparison among different ethnic groups in the Netherlands. Acta Psychiatrica Scandinavica. 105(6). 440–443. 32 indexed citations
9.
Selten, Jean‐Paul, Ingrid J. Bosman, Douwe de Boer, et al.. (2002). Hair analysis for cannabinoids and amphetamines in a psychosis incidence study. European Neuropsychopharmacology. 12(1). 27–30. 14 indexed citations
10.
Selten, Jean‐Paul, Natalie D. Veen, Jan Dirk Blom, et al.. (2001). Incidence of psychotic disorders in immigrant groups to the Netherlands. The British Journal of Psychiatry. 178(4). 367–372. 189 indexed citations

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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