Eva Friedel

2.0k total citations
41 papers, 1.2k citations indexed

About

Eva Friedel is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Eva Friedel has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 10 papers in Psychiatry and Mental health and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Eva Friedel's work include Functional Brain Connectivity Studies (11 papers), Neural and Behavioral Psychology Studies (10 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Eva Friedel is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Neural and Behavioral Psychology Studies (10 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Eva Friedel collaborates with scholars based in Germany, Switzerland and United Kingdom. Eva Friedel's co-authors include Andreas Heinz, Quentin J. M. Huys, Peter Dayan, Florian Schlagenhauf, Raymond J. Dolan, Roshan Cools, Thomas Merten, Andreas Stevens, Philipp Sterzer and Jana Wrase and has published in prestigious journals such as Biological Psychiatry, Psychological Medicine and Journal of Cognitive Neuroscience.

In The Last Decade

Eva Friedel

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Friedel Germany 16 687 366 247 223 169 41 1.2k
Maria Garbusow Germany 21 639 0.9× 393 1.1× 338 1.4× 172 0.8× 158 0.9× 51 1.1k
Anna B. Konova United States 19 644 0.9× 318 0.9× 437 1.8× 181 0.8× 134 0.8× 49 1.1k
Claudia Hägele Germany 13 693 1.0× 367 1.0× 359 1.5× 369 1.7× 265 1.6× 19 1.2k
Anna Zilverstand United States 20 1.1k 1.6× 524 1.4× 282 1.1× 233 1.0× 328 1.9× 45 1.7k
Miriam Sebold Germany 18 809 1.2× 437 1.2× 358 1.4× 119 0.5× 269 1.6× 47 1.3k
Anita Cservenka United States 21 510 0.7× 193 0.5× 304 1.2× 179 0.8× 190 1.1× 47 1.1k
Milky Kohno United States 17 530 0.8× 213 0.6× 412 1.7× 160 0.7× 103 0.6× 27 1.1k
Christoph von der Goltz Germany 19 465 0.7× 241 0.7× 386 1.6× 87 0.4× 133 0.8× 33 1.1k
Abigail J. Turton United Kingdom 4 378 0.6× 152 0.4× 433 1.8× 166 0.7× 264 1.6× 4 912
Jonathan P. Dunning United States 16 890 1.3× 538 1.5× 266 1.1× 105 0.5× 263 1.6× 19 1.5k

Countries citing papers authored by Eva Friedel

Since Specialization
Citations

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

Fields of papers citing papers by Eva Friedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Friedel

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Friedel. A scholar is included among the top collaborators of Eva Friedel 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 Eva Friedel. Eva Friedel 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.
2.
Friedel, Eva, et al.. (2024). Die Depression im Spannungsfeld der Geschlechterrollen. Der Nervenarzt. 95(4). 298–307. 2 indexed citations
3.
Garbusow, Maria, Michael Marxen, Michael N. Smolka, et al.. (2023). Aberrant functional brain network organization is associated with relapse during 1‐year follow‐up in alcohol‐dependent patients. Addiction Biology. 28(11). e13339–e13339. 1 indexed citations
4.
Renneberg, Babette, et al.. (2023). Better than expected: the gap between self-reported and objective measures of cognitive performance in remitted bipolar disorder. Frontiers in Psychiatry. 14. 1258303–1258303.
5.
Frieling, Helge, Ilya M. Veer, Alexandra Neyazi, et al.. (2022). How alcohol makes the epigenetic clock tick faster and the clock reversing effect of abstinence. Addiction Biology. 27(5). e13198–e13198. 9 indexed citations
6.
Gleich, Tobias, Miriam Sebold, Ralph Buchert, et al.. (2022). Association between DRD2/ANKK1 TaqIA Allele Status and Striatal Dopamine D2/3 Receptor Availability in Alcohol Use Disorder. Journal of Integrative Neuroscience. 21(6). 171–171. 3 indexed citations
7.
8.
Schad, Daniel J., Michael A. Rapp, Maria Garbusow, et al.. (2019). Dissociating neural learning signals in human sign- and goal-trackers. Nature Human Behaviour. 4(2). 201–214. 47 indexed citations
9.
Garbusow, Maria, Stephan Nebe, Christian Sommer, et al.. (2019). Pavlovian-To-Instrumental Transfer and Alcohol Consumption in Young Male Social Drinkers: Behavioral, Neural and Polygenic Correlates. Journal of Clinical Medicine. 8(8). 1188–1188. 21 indexed citations
10.
Koch, Stefan, Eva Friedel, Thomas Fydrich, et al.. (2017). Combining D-cycloserine with appetitive extinction learning modulates amygdala activity during recall. Neurobiology of Learning and Memory. 142(Pt B). 209–217. 15 indexed citations
11.
Hägele, Claudia, Eva Friedel, Florian Schlagenhauf, et al.. (2016). Affective responses across psychiatric disorders—A dimensional approach. Neuroscience Letters. 623. 71–78. 33 indexed citations
12.
Huys, Quentin J. M., Eva Friedel, Andreas Heinz, et al.. (2016). The specificity of Pavlovian regulation is associated with recovery from depression. Psychological Medicine. 46(5). 1027–1035. 54 indexed citations
13.
Friedel, Eva, et al.. (2014). Devaluation and sequential decisions: linking goal-directed and model-based behavior. Frontiers in Human Neuroscience. 8. 587–587. 56 indexed citations
14.
Hägele, Claudia, et al.. (2014). How Do We ‘Learn' Addiction? Risk Factors and Mechanisms Getting Addicted to Alcohol. Neuropsychobiology. 70(2). 67–76. 11 indexed citations
15.
Garbusow, Maria, Daniel J. Schad, Christian Sommer, et al.. (2014). Pavlovian-to-Instrumental Transfer in Alcohol Dependence: A Pilot Study. Neuropsychobiology. 70(2). 111–121. 64 indexed citations
16.
Rosenblau, Gabriela, Philipp Sterzer, Meline Stoy, et al.. (2012). Functional neuroanatomy of emotion processing in major depressive disorder is altered after successful antidepressant therapy. Journal of Psychopharmacology. 26(11). 1424–1433. 53 indexed citations
17.
Huys, Quentin J. M., Roshan Cools, Eva Friedel, et al.. (2011). Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding. PLoS Computational Biology. 7(4). e1002028–e1002028. 279 indexed citations
18.
Schlagenhauf, Florian, Anne Beck, Torsten Wüstenberg, et al.. (2010). Switching schizophrenia patients from typical neuroleptics to aripiprazole: Effects on working memory dependent functional activation. Schizophrenia Research. 118(1-3). 189–200. 37 indexed citations
19.
Friedel, Eva, Florian Schlagenhauf, Philipp Sterzer, et al.. (2009). 5-HTT genotype effect on prefrontal–amygdala coupling differs between major depression and controls. Psychopharmacology. 205(2). 261–271. 60 indexed citations
20.
Friedel, Eva, et al.. (2006). [Insufficient cooperativeness in forensic neuropsychiatric assessment: prevalence estimates of negative response bias].. PubMed. 58(1). 19–21. 7 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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