Matthis Wankerl

581 total citations
8 papers, 433 citations indexed

About

Matthis Wankerl is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Clinical Psychology. According to data from OpenAlex, Matthis Wankerl has authored 8 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Behavioral Neuroscience, 5 papers in Biological Psychiatry and 3 papers in Clinical Psychology. Recurrent topics in Matthis Wankerl's work include Stress Responses and Cortisol (6 papers), Tryptophan and brain disorders (5 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). Matthis Wankerl is often cited by papers focused on Stress Responses and Cortisol (6 papers), Tryptophan and brain disorders (5 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). Matthis Wankerl collaborates with scholars based in Germany, Netherlands and United States. Matthis Wankerl's co-authors include Tobias Stalder, Clemens Kirschbaum, Nina Alexander, Robert Miller, Juergen Hennig, Susann Steudte‐Schmiedgen, Christian Otte, Stefan Wüst, Markus Muehlhan and Sandra Zänkert and has published in prestigious journals such as Molecular Psychiatry, Psychoneuroendocrinology and Biological Psychology.

In The Last Decade

Matthis Wankerl

8 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthis Wankerl Germany 7 200 153 89 87 84 8 433
Jessie Mahler Germany 6 306 1.5× 180 1.2× 60 0.7× 32 0.4× 56 0.7× 10 486
Kristin Fenske Germany 8 218 1.1× 175 1.1× 54 0.6× 32 0.4× 55 0.7× 8 418
Regina Boecker Germany 9 267 1.3× 169 1.1× 66 0.7× 38 0.4× 29 0.3× 9 552
Chandni Sheth United States 15 198 1.0× 73 0.5× 58 0.7× 65 0.7× 62 0.7× 29 577
Candace R. Lewis United States 13 141 0.7× 77 0.5× 73 0.8× 99 1.1× 36 0.4× 26 428
Jeremy D. Coplan United States 9 139 0.7× 206 1.3× 148 1.7× 50 0.6× 56 0.7× 11 451
Luis Eduardo Wearick‐Silva Brazil 17 97 0.5× 273 1.8× 203 2.3× 60 0.7× 112 1.3× 35 559
Esther Molina Spain 12 188 0.9× 61 0.4× 70 0.8× 57 0.7× 75 0.9× 31 527
Tristán Troudart Israel 3 162 0.8× 190 1.2× 172 1.9× 30 0.3× 89 1.1× 4 458
Bella Hanin Israel 4 162 0.8× 191 1.2× 172 1.9× 31 0.4× 90 1.1× 8 466

Countries citing papers authored by Matthis Wankerl

Since Specialization
Citations

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

Fields of papers citing papers by Matthis Wankerl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthis Wankerl

This figure shows the co-authorship network connecting the top 25 collaborators of Matthis Wankerl. A scholar is included among the top collaborators of Matthis Wankerl 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 Matthis Wankerl. Matthis Wankerl 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.
Alexander, Nina, et al.. (2019). Serotonin transporter gene methylation predicts long-term cortisol concentrations in hair. Psychoneuroendocrinology. 106. 179–182. 12 indexed citations
2.
Alexander, Nina, Clemens Kirschbaum, Matthis Wankerl, et al.. (2018). Glucocorticoid receptor gene methylation moderates the association of childhood trauma and cortisol stress reactivity. Psychoneuroendocrinology. 90. 68–75. 62 indexed citations
3.
Alexander, Nina, Matthis Wankerl, Juergen Hennig, et al.. (2014). DNA methylation profiles within the serotonin transporter gene moderate the association of 5-HTTLPR and cortisol stress reactivity. Translational Psychiatry. 4(9). e443–e443. 75 indexed citations
4.
Wankerl, Matthis, Robert Miller, Clemens Kirschbaum, et al.. (2014). Effects of genetic and early environmental risk factors for depression on serotonin transporter expression and methylation profiles. Translational Psychiatry. 4(6). e402–e402. 90 indexed citations
5.
Miller, Robert, Matthis Wankerl, Tobias Stalder, Clemens Kirschbaum, & Nina Alexander. (2012). The serotonin transporter gene-linked polymorphic region (5-HTTLPR) and cortisol stress reactivity: a meta-analysis. Molecular Psychiatry. 18(9). 1018–1024. 133 indexed citations
6.
Wankerl, Matthis, Robert F. Miller, Tobias Stalder, Clemens Kirschbaum, & Nina Alexander. (2012). The serotonin transporter gene-linked polymorphic region (5-HTTLPR) and cortisol stress reactivity: a meta-analysis. European journal of psychotraumatology. 3(0). 4 indexed citations
7.
Wankerl, Matthis, Birgit‐Christiane Zyriax, Brigitta Bondy, et al.. (2010). Serotonin transporter gene-linked polymorphic region (5-HTTLPR) and diurnal cortisol: A sex by genotype interaction. Biological Psychology. 85(2). 344–346. 18 indexed citations
8.
Wankerl, Matthis, Stefan Wüst, & Christian Otte. (2010). Current developments and controversies: does the serotonin transporter gene-linked polymorphic region (5-HTTLPR) modulate the association between stress and depression?. Current Opinion in Psychiatry. 23(6). 582–587. 39 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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