David Sondervan

5.1k total citations
8 papers, 450 citations indexed

About

David Sondervan is a scholar working on Genetics, Small Animals and Molecular Biology. According to data from OpenAlex, David Sondervan has authored 8 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Small Animals and 2 papers in Molecular Biology. Recurrent topics in David Sondervan's work include Genetic Associations and Epidemiology (4 papers), Brucella: diagnosis, epidemiology, treatment (2 papers) and Escherichia coli research studies (2 papers). David Sondervan is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Brucella: diagnosis, epidemiology, treatment (2 papers) and Escherichia coli research studies (2 papers). David Sondervan collaborates with scholars based in Netherlands, United States and Australia. David Sondervan's co-authors include Renée M. Tsolis, Yaohui Sun, Andreas B. den Hartigh, Peter Heutink, Dorret I. Boomsma, Eco J. C. de Geus, Gonneke Willemsen, Thomas A. Ficht, Piet Meijer and Zoltán Bochdanovits and has published in prestigious journals such as PLoS ONE, Infection and Immunity and European Journal of Human Genetics.

In The Last Decade

David Sondervan

8 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Sondervan Netherlands 8 124 123 102 71 56 8 450
Guadalupe García Romero Argentina 12 39 0.3× 66 0.5× 48 0.5× 30 0.4× 23 0.4× 22 506
Raad Shakir United Kingdom 12 17 0.1× 87 0.7× 186 1.8× 42 0.6× 139 2.5× 24 679
K.J.E. van Hulzen Netherlands 13 165 1.3× 82 0.7× 29 0.3× 46 0.6× 109 1.9× 15 676
Luis Palacio Colombia 16 116 0.9× 68 0.6× 38 0.4× 92 1.3× 41 0.7× 55 875
Gemma Perretta Italy 14 108 0.9× 146 1.2× 110 1.1× 13 0.2× 32 0.6× 19 653
Marappa G. Subramanian United States 19 112 0.9× 173 1.4× 18 0.2× 7 0.1× 62 1.1× 50 989
Elizabeth Hare United States 15 428 3.5× 80 0.7× 90 0.9× 117 1.6× 23 0.4× 39 949
Kelly Moffat United States 8 191 1.5× 236 1.9× 147 1.4× 5 0.1× 17 0.3× 9 576
Mohammed Al‐Houqani United Arab Emirates 10 75 0.6× 75 0.6× 61 0.6× 18 0.3× 153 2.7× 17 517
Kathy Laber United States 11 79 0.6× 57 0.5× 236 2.3× 39 0.5× 35 0.6× 18 737

Countries citing papers authored by David Sondervan

Since Specialization
Citations

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

Fields of papers citing papers by David Sondervan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Sondervan. 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 David Sondervan. The network helps show where David Sondervan may publish in the future.

Co-authorship network of co-authors of David Sondervan

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

All Works

8 of 8 papers shown
1.
Bakker, Ingrid, Marianna R. Bevova, Zoltán Bochdanovits, et al.. (2012). A Fine-Mapping Study of 7 Top Scoring Genes from a GWAS for Major Depressive Disorder. PLoS ONE. 7(5). e37384–e37384. 31 indexed citations
2.
Jain, Shushant, David Sondervan, Patrizia Rizzu, et al.. (2011). The Complete Automation of Cell Culture: Improvements for High-Throughput and High-Content Screening. SLAS DISCOVERY. 16(8). 932–939. 10 indexed citations
3.
Willemsen, Gonneke, Eco J. C. de Geus, Meike Bartels, et al.. (2010). The Netherlands Twin Register Biobank: A Resource for Genetic Epidemiological Studies. Twin Research and Human Genetics. 13(3). 231–245. 111 indexed citations
4.
Katerberg, Hilga, Christine Löchner, Daniëlle C. Cath, et al.. (2009). The role of the brain‐derived neurotrophic factor (BDNF) val66met variant in the phenotypic expression of obsessive‐compulsive disorder (OCD). American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 150B(8). 1050–1062. 63 indexed citations
5.
Boomsma, Dorret I., Gonneke Willemsen, Patrick F. Sullivan, et al.. (2008). Genome-wide association of major depression: description of samples for the GAIN Major Depressive Disorder Study: NTR and NESDA biobank projects. European Journal of Human Genetics. 16(3). 335–342. 106 indexed citations
6.
Bochdanovits, Zoltán, et al.. (2008). Genome-Wide Prediction of Functional Gene-Gene Interactions Inferred from Patterns of Genetic Differentiation in Mice and Men. PLoS ONE. 3(2). e1593–e1593. 10 indexed citations
7.
Sun, Yaohui, Hortensia G. Rolán, Andreas B. den Hartigh, David Sondervan, & Renée M. Tsolis. (2005). Brucella abortusVirB12 Is Expressed during Infection but Is Not an Essential Component of the Type IV Secretion System. Infection and Immunity. 73(9). 6048–6054. 33 indexed citations
8.
Hartigh, Andreas B. den, et al.. (2004). Differential Requirements for VirB1 and VirB2 during Brucella abortus Infection. Infection and Immunity. 72(9). 5143–5149. 86 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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