Nina Gartmann

479 total citations
8 papers, 354 citations indexed

About

Nina Gartmann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Nina Gartmann has authored 8 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Nina Gartmann's work include Memory and Neural Mechanisms (4 papers), Stress Responses and Cortisol (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Nina Gartmann is often cited by papers focused on Memory and Neural Mechanisms (4 papers), Stress Responses and Cortisol (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Nina Gartmann collaborates with scholars based in Germany, Austria and Sweden. Nina Gartmann's co-authors include Raffaël Kalisch, Karolina A. Raczka, Jan Haaker, Christian Büchel, Andreas Reif, Tina B. Lonsdorf, Fabio Morellini, Jürgen Deckert, Nicolas Singewald and Anupam Sah and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Molecular Psychiatry.

In The Last Decade

Nina Gartmann

7 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nina Gartmann Germany	7	254	158	113	79	60	8	354
Gemma J. Cockcroft United Kingdom	14	309 1.2×	173 1.1×	103 0.9×	105 1.3×	75 1.3×	20	501
William Boshoven United States	11	204 0.8×	142 0.9×	82 0.7×	49 0.6×	52 0.9×	14	380
Joyce Wang United States	5	213 0.8×	158 1.0×	96 0.8×	60 0.8×	33 0.6×	5	384
Anna Lei Italy	2	212 0.8×	151 1.0×	100 0.9×	91 1.2×	40 0.7×	2	363
Omer Horovitz Israel	9	175 0.7×	127 0.8×	192 1.7×	136 1.7×	56 0.9×	27	426
Yoshiro Shiba United Kingdom	11	249 1.0×	103 0.7×	92 0.8×	111 1.4×	78 1.3×	11	386
Justin R. Yates United States	14	202 0.8×	347 2.2×	94 0.8×	121 1.5×	65 1.1×	37	525
Pieter Schipper Netherlands	9	148 0.6×	150 0.9×	145 1.3×	104 1.3×	32 0.5×	14	344
María M. Diehl United States	10	303 1.2×	111 0.7×	104 0.9×	129 1.6×	89 1.5×	12	408
Hershel Mehta United States	2	268 1.1×	172 1.1×	52 0.5×	39 0.5×	58 1.0×	2	416

Countries citing papers authored by Nina Gartmann

Since Specialization

Citations

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

Fields of papers citing papers by Nina Gartmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Gartmann

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

All Works

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8 of 8 papers shown

1.

Kuhn, Manuel, Jan Haaker, Evelyn Glotzbach-Schoon, et al.. (2016). Converging evidence for an impact of a functionalNOSgene variation on anxiety-related processes. Social Cognitive and Affective Neuroscience. 11(5). 803–812. 14 indexed citations

2.

Haaker, Jan, Stefano Gaburro, Anupam Sah, et al.. (2013). Single dose of l -dopa makes extinction memories context-independent and prevents the return of fear. Proceedings of the National Academy of Sciences. 110(26). E2428–36. 133 indexed citations

3.

Strange, Bryan A., et al.. (2013). Dopamine receptor 4 promoter polymorphism modulates memory and neuronal responses to salience. NeuroImage. 84. 922–931. 11 indexed citations

4.

Baumann, Christian R., Benedikt Klauke, Katharina Domschke, et al.. (2013). Die gemeinsamen und spezifischen Komponenten von Depression und Angst. Zeitschrift für Klinische Psychologie und Psychotherapie. 42(4). 230–241.

5.

Paret, Christian, et al.. (2011). A Test for the Implementation?Maintenance Model of Reappraisal. Frontiers in Psychology. 2. 216–216. 32 indexed citations

6.

Raczka, Karolina A., et al.. (2011). Empirical support for an involvement of the mesostriatal dopamine system in human fear extinction. Translational Psychiatry. 1(6). e12–e12. 75 indexed citations

7.

Raczka, Karolina A., Nina Gartmann, Andreas Reif, et al.. (2010). A neuropeptide S receptor variant associated with overinterpretation of fear reactions: a potential neurogenetic basis for catastrophizing. Molecular Psychiatry. 15(11). 1067–1074. 78 indexed citations

8.

Raczka, Karolina A., Nina Gartmann, Andreas Reif, et al.. (2010). A brain area for catastrophizing. Molecular Psychiatry. 15(11). 1045–1045. 11 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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