D.I. Boomsma

1.7k total citations
27 papers, 686 citations indexed

About

D.I. Boomsma is a scholar working on Genetics, Experimental and Cognitive Psychology and Physiology. According to data from OpenAlex, D.I. Boomsma has authored 27 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Experimental and Cognitive Psychology and 4 papers in Physiology. Recurrent topics in D.I. Boomsma's work include Genetic Associations and Epidemiology (5 papers), Cognitive Abilities and Testing (3 papers) and Stress Responses and Cortisol (2 papers). D.I. Boomsma is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Cognitive Abilities and Testing (3 papers) and Stress Responses and Cortisol (2 papers). D.I. Boomsma collaborates with scholars based in Netherlands, United States and Australia. D.I. Boomsma's co-authors include Nicholas G. Martin, Gonneke Willemsen, Eco J. C. de Geus, M C Neale, Daniëlle Posthuma, J.F. Orlebeke, Bram P. Prins, Witte J.G. Hoogendijk, Willem A. Nolen and Fokko J. Bosker and has published in prestigious journals such as Biological Psychiatry, Psychological Medicine and Molecular Psychiatry.

In The Last Decade

D.I. Boomsma

25 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.I. Boomsma Netherlands 13 169 159 158 101 95 27 686
Kirstin L. Purves United Kingdom 15 145 0.9× 198 1.2× 291 1.8× 197 2.0× 70 0.7× 28 707
Monica Bosi Italy 10 103 0.6× 144 0.9× 214 1.4× 111 1.1× 123 1.3× 22 735
Gunnar Rylander Sweden 17 143 0.8× 70 0.4× 282 1.8× 67 0.7× 197 2.1× 23 950
Wendy N. Zubenko United States 13 343 2.0× 129 0.8× 234 1.5× 131 1.3× 181 1.9× 19 1.0k
Sandra Villafuerte United States 15 109 0.6× 88 0.6× 169 1.1× 108 1.1× 93 1.0× 21 583
Thomas J. Huber Germany 16 74 0.4× 96 0.6× 245 1.6× 186 1.8× 51 0.5× 36 957
Martin H. Plawecki United States 19 92 0.5× 115 0.7× 133 0.8× 271 2.7× 74 0.8× 64 951
Michael A. Reveley United Kingdom 19 159 0.9× 63 0.4× 177 1.1× 245 2.4× 101 1.1× 33 976
Sian Caesar United Kingdom 14 275 1.6× 115 0.7× 262 1.7× 146 1.4× 194 2.0× 19 1.1k
Mary-Anne Enoch United States 15 57 0.3× 101 0.6× 234 1.5× 174 1.7× 125 1.3× 16 771

Countries citing papers authored by D.I. Boomsma

Since Specialization
Citations

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

Fields of papers citing papers by D.I. Boomsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.I. Boomsma

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

All Works

20 of 20 papers shown
1.
Abdellaoui, Abdel, Michel G. Nivard, Jouke‐Jan Hottenga, et al.. (2018). Predicting loneliness with polygenic scores of social, psychological and psychiatric traits. Genes Brain & Behavior. 17(6). e12472–e12472. 34 indexed citations
2.
Hagenbeek, Fiona A., Michel G. Nivard, René Pool, et al.. (2016). Genome-wide pleiotropy of adult aggression and blood metabolites. Behavior Genetics. 46(6). 772–816. 2 indexed citations
3.
Ligthart, Lannie, Jouke‐Jan Hottenga, Cathryn M. Lewis, et al.. (2013). Genetic risk score analysis indicates migraine with and without comorbid depression are genetically different disorders. Human Genetics. 133(2). 173–186. 3 indexed citations
4.
Glasner, Tina, et al.. (2013). Meerlinggeboorten in Nederland. Data Archiving and Networked Services (DANS). 157. 1–5. 2 indexed citations
5.
Bosker, Fokko J., Catharina A. Hartman, Ilja M. Nolte, et al.. (2010). Poor replication of candidate genes for major depressive disorder using genome-wide association data. Molecular Psychiatry. 16(5). 516–532. 225 indexed citations
6.
Boomsma, D.I., et al.. (2008). Genetic and environmental influences on Anxious/Depression: A longitudinal study in 3- to 12-year-old children.. Data Archiving and Networked Services (DANS). 161–189. 5 indexed citations
7.
Geus, Eco J. C. de, et al.. (2006). A bivariate approach to the genetics of cardiovascular reactivity : Stress uncovers genetic variance (abstract). Psychosomatic Medicine. 68(1). 5–6. 2 indexed citations
8.
Gosso, M.F., Eco J. C. de Geus, Tinca J. C. Polderman, et al.. (2006). Family-based association approach provides further evidence for a role of the CHRM2 gene in cognition.. European Journal of Human Genetics. 14.
9.
Silventoinen, Karri, Sampo Sammalisto, Markus Perola, et al.. (2003). Skytthe A, Spector TD, Stazi MA, Willemsen G, Kaprio J, Heritability of adult body height: a comparative study of twin cohorts in eight countries. Data Archiving and Networked Services (DANS). 2 indexed citations
10.
Boomsma, D.I. & Nicholas G. Martin. (2002). Martin NG, Gene-environment interactions. Biological Psychiatry. 181–187. 17 indexed citations
11.
Montgomery, Grant W., David L. Duffy, Katherine I. Morley, et al.. (2002). The segregation distortion of MTHFR haplotypes is not increased in DZ twinning. Data Archiving and Networked Services (DANS). 71. 1 indexed citations
12.
Dolan, Conor V., D.I. Boomsma, & Michael C. Neale. (1999). A Note on the Power Provided by Sibships of Sizes 2, 3, and 4 in Genetic Covariance Modeling of a Codominant QTL. Behavior Genetics. 29(3). 163–170. 34 indexed citations
13.
Boomsma, D.I., Harold Snieder, Eco J. C. de Geus, & L J van Doornen. (1998). Heritability of blood pressure increases during mental stress. Twin Research. 1(1). 15–24. 31 indexed citations
14.
Rietveld, M.J.H., et al.. (1996). Genetic and environmental influences on alcohol use and smoking by maternal religious involvement in Dutch adolescent twins. Behavior Genetics. 26(6). 595–595. 1 indexed citations
15.
Rietveld, M.J.H., et al.. (1995). P300 in Twins and Alcohol-Use in Parents. Behavior Genetics. 25(3). 285–285. 2 indexed citations
16.
Molenaar, Peter C. M., et al.. (1994). Genetic and environmental factors in a developmental perspective. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 2 indexed citations
17.
Sims, Jane, D.I. Boomsma, Douglas Carroll, John K. Hewitt, & J. Rick Turner. (1991). Genetics of type a behavior in two European countries: Evidence for sibling interaction. Behavior Genetics. 21(5). 513–528. 12 indexed citations
18.
Orlebeke, J.F., et al.. (1991). Changes in the DZ Unlike/Like Sex Ratio in The Netherlands. Acta geneticae medicae et gemellologiae twin research. 40(3-4). 319–323. 13 indexed citations
19.
Boomsma, D.I., G. Caroline M. van Baal, & J.F. Orlebeke. (1990). Genetic Influences on Respiratory Sinus Arrhythmia across Different Task Conditions. Acta geneticae medicae et gemellologiae twin research. 39(2). 181–191. 43 indexed citations
20.
Martin, Nicholas G. & D.I. Boomsma. (1989). Neale MC, Genetic analysis of twin and family data: Structural modeling using LISREL. Behavior Genetics. 19. 5–7. 22 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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