Nina Marsh

583 total citations
13 papers, 321 citations indexed

About

Nina Marsh is a scholar working on Social Psychology, Experimental and Cognitive Psychology and Genetics. According to data from OpenAlex, Nina Marsh has authored 13 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Social Psychology, 10 papers in Experimental and Cognitive Psychology and 3 papers in Genetics. Recurrent topics in Nina Marsh's work include Neuroendocrine regulation and behavior (11 papers), Evolutionary Psychology and Human Behavior (10 papers) and Attachment and Relationship Dynamics (3 papers). Nina Marsh is often cited by papers focused on Neuroendocrine regulation and behavior (11 papers), Evolutionary Psychology and Human Behavior (10 papers) and Attachment and Relationship Dynamics (3 papers). Nina Marsh collaborates with scholars based in Germany, United States and Canada. Nina Marsh's co-authors include René Hurlemann, Abigail A. Marsh, Dirk Scheele, Mary R. Lee, Sabrina Strang, Wolfgang Maier, W. L. Marsh, Amy M. Moore, W. A. Symmans and C M Redman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Nina Marsh

12 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina Marsh Germany 9 222 127 43 41 39 13 321
Winnie Schroeder Germany 8 237 1.1× 110 0.9× 40 0.9× 26 0.6× 35 0.9× 8 379
Federica Calcagnoli Netherlands 8 314 1.4× 142 1.1× 55 1.3× 25 0.6× 68 1.7× 9 387
Olga Chelnokova Norway 7 171 0.8× 154 1.2× 23 0.5× 116 2.8× 30 0.8× 11 397
Natalia García Colombia 5 502 2.3× 232 1.8× 58 1.3× 56 1.4× 75 1.9× 8 671
Suping Wu China 6 340 1.5× 122 1.0× 183 4.3× 166 4.0× 84 2.2× 9 599
Trenton C. Simmons United States 8 218 1.0× 103 0.8× 40 0.9× 34 0.8× 42 1.1× 10 266
Forrest D. Rogers United States 10 217 1.0× 98 0.8× 43 1.0× 35 0.9× 17 0.4× 12 281
A Wille China 3 306 1.4× 215 1.7× 23 0.5× 50 1.2× 43 1.1× 7 334
Jack H. Taylor United States 11 296 1.3× 144 1.1× 46 1.1× 16 0.4× 41 1.1× 20 335
Jon Cavanaugh United States 11 354 1.6× 215 1.7× 67 1.6× 20 0.5× 35 0.9× 15 404

Countries citing papers authored by Nina Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Nina Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Marsh

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

All Works

13 of 13 papers shown
1.
2.
Marsh, Nina, et al.. (2021). Eye-Tracking Reveals a Role of Oxytocin in Attention Allocation Towards Familiar Faces. Frontiers in Endocrinology. 12. 629760–629760. 10 indexed citations
3.
Scheele, Dirk, Johannes Schultz, Juergen Hennig, et al.. (2020). Common and dissociable effects of oxytocin and lorazepam on the neurocircuitry of fear. Proceedings of the National Academy of Sciences. 117(21). 11781–11787. 22 indexed citations
4.
Marsh, Nina, Abigail A. Marsh, Mary R. Lee, & René Hurlemann. (2020). Oxytocin and the Neurobiology of Prosocial Behavior. The Neuroscientist. 27(6). 604–619. 77 indexed citations
5.
Marsh, Nina, Dirk Scheele, Justin S. Feinstein, et al.. (2017). Oxytocin-enforced norm compliance reduces xenophobic outgroup rejection. Proceedings of the National Academy of Sciences. 114(35). 9314–9319. 30 indexed citations
6.
Strang, Sabrina, et al.. (2017). A matter of distance—The effect of oxytocin on social discounting is empathy-dependent. Psychoneuroendocrinology. 78. 229–232. 21 indexed citations
7.
Spengler, Franny B., Dirk Scheele, Nina Marsh, et al.. (2017). Oxytocin facilitates reciprocity in social communication. Social Cognitive and Affective Neuroscience. 12(8). 1325–1333. 52 indexed citations
8.
Hurlemann, René & Nina Marsh. (2017). Deciphering the modulatory role of oxytocin in human altruism. Reviews in the Neurosciences. 28(4). 335–342. 11 indexed citations
9.
Hurlemann, René & Nina Marsh. (2016). Neue Einblicke in die Psychobiologie altruistischer Entscheidungen. Der Nervenarzt. 87(11). 1131–1135. 4 indexed citations
10.
Marsh, Nina, Dirk Scheele, Sabrina Strang, et al.. (2015). The Neuropeptide Oxytocin Induces a Social Altruism Bias. Journal of Neuroscience. 35(47). 15696–15701. 34 indexed citations
11.
Fürst, Andreas, et al.. (2015). The neuropeptide oxytocin modulates consumer brand relationships. Scientific Reports. 5(1). 14960–14960. 8 indexed citations
12.
13.
Marsh, W. L., Nina Marsh, Amy M. Moore, et al.. (1981). Elevated Serum Creatine Phosphokinase in Subjects with McLeod Syndrome. Vox Sanguinis. 40(6). 403–411. 46 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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