Winnie Schroeder

498 total citations
8 papers, 379 citations indexed

About

Winnie Schroeder is a scholar working on Social Psychology, Clinical Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Winnie Schroeder has authored 8 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Social Psychology, 3 papers in Clinical Psychology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Winnie Schroeder's work include Neuroendocrine regulation and behavior (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). Winnie Schroeder is often cited by papers focused on Neuroendocrine regulation and behavior (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). Winnie Schroeder collaborates with scholars based in Germany, United States and Canada. Winnie Schroeder's co-authors include Sven Barnow, Michael Lucht, Falko H. Herrmann, Hans Joergen Grabe, Dieter Rosskopf, Harald J. Freyberger, Heyo K. Kroemer, Henry Völzke, Albert Rosenberger and Ulrich John and has published in prestigious journals such as Progress in Neuro-Psychopharmacology and Biological Psychiatry, Epilepsy & Behavior and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

In The Last Decade

Winnie Schroeder

8 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Winnie Schroeder Germany 8 237 112 110 40 35 8 379
Ritu Bhandari Netherlands 8 222 0.9× 87 0.8× 92 0.8× 19 0.5× 99 2.8× 11 308
Maya Yaari Israel 13 123 0.5× 151 1.3× 34 0.3× 55 1.4× 76 2.2× 22 448
Deepali Mankad Canada 7 96 0.4× 59 0.5× 27 0.2× 56 1.4× 49 1.4× 8 349
June M. Dobbs United States 4 198 0.8× 194 1.7× 51 0.5× 13 0.3× 72 2.1× 4 397
Adi Ulmer-Yaniv Israel 8 131 0.6× 74 0.7× 43 0.4× 6 0.1× 34 1.0× 10 259
Eline J. Kraaijenvanger Netherlands 7 73 0.3× 104 0.9× 48 0.4× 7 0.2× 13 0.4× 13 221
Şenol Turan Türkiye 13 102 0.4× 179 1.6× 31 0.3× 21 0.5× 6 0.2× 68 417
Liza M. Rubenstein United States 10 81 0.3× 266 2.4× 87 0.8× 20 0.5× 4 0.1× 10 381
Olivier Revol France 12 27 0.1× 105 0.9× 109 1.0× 35 0.9× 8 0.2× 44 434
András Lászik Hungary 12 38 0.2× 159 1.4× 65 0.6× 62 1.6× 7 0.2× 28 508

Countries citing papers authored by Winnie Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Winnie Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Winnie Schroeder

This figure shows the co-authorship network connecting the top 25 collaborators of Winnie Schroeder. A scholar is included among the top collaborators of Winnie Schroeder 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 Winnie Schroeder. Winnie Schroeder 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.
Podewils, Felix von, Winnie Schroeder, Irène Wang, et al.. (2015). Predictive value of EFHC1 variants for the long-term seizure outcome in juvenile myoclonic epilepsy. Epilepsy & Behavior. 44. 61–66. 7 indexed citations
2.
Lucht, Michael, Sven Barnow, Ines Ulrich, et al.. (2012). Associations between the oxytocin receptor gene (OXTR) and “mind-reading” in humans—An exploratory study. Nordic Journal of Psychiatry. 67(1). 15–21. 46 indexed citations
3.
Rauch, R., Monika Girisch, G. Wiegand, et al.. (2011). Factor X deficiency and intracranial bleeding: who is at risk?. Haemophilia. 17(5). 759–763. 12 indexed citations
4.
Lucht, Michael, Sven Barnow, Albert Rosenberger, et al.. (2009). Associations between the oxytocin receptor gene (OXTR) and affect, loneliness and intelligence in normal subjects. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 33(5). 860–866. 214 indexed citations
5.
Lucht, Michael, Sven Barnow, Winnie Schroeder, et al.. (2007). Alcohol Consumption Is Associated with an Interaction between <i>DRD2</i> Exon 8 A/A Genotype and Self-Directedness in Males. Neuropsychobiology. 56(1). 24–31. 14 indexed citations
6.
Lucht, Michael, Sven Barnow, Winnie Schroeder, et al.. (2006). Negative perceived paternal parenting is associated with dopamine D2 receptor exon 8 and GABA(A) alpha 6 receptor variants: An explorative study. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 141B(2). 167–172. 25 indexed citations
7.
Meisel, Peter, Tyra Grove Krause, Ingolf Cascorbi, et al.. (2002). Gender and smoking-related risk reduction of periodontal disease with variant myeloperoxidase alleles. Genes and Immunity. 3(2). 102–106. 36 indexed citations
8.
Lucht, Michael, et al.. (2001). Influence of the dopamine D2 receptor (DRD2) exon 8 genotype on efficacy of tiapride and clinical outcome of alcohol withdrawal. Pharmacogenetics. 11(8). 647–653. 25 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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