Irene E. Nagel

1.7k total citations
16 papers, 1.2k citations indexed

About

Irene E. Nagel is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Irene E. Nagel has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Irene E. Nagel's work include Neural and Behavioral Psychology Studies (8 papers), Functional Brain Connectivity Studies (7 papers) and Memory and Neural Mechanisms (5 papers). Irene E. Nagel is often cited by papers focused on Neural and Behavioral Psychology Studies (8 papers), Functional Brain Connectivity Studies (7 papers) and Memory and Neural Mechanisms (5 papers). Irene E. Nagel collaborates with scholars based in Germany, Sweden and United States. Irene E. Nagel's co-authors include Ulman Lindenberger, Lars Bäckman, Hauke R. Heekeren, Shu Li, Claudia Preuschhof, Lars Nyberg, Agnieszka Z. Burzynska, Goran Papenberg, Eric H. Schumacher and Rainer Goebel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Irene E. Nagel

15 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irene E. Nagel Germany 14 921 210 195 151 150 16 1.2k
Markus H. Sneve Norway 19 1.0k 1.1× 174 0.8× 181 0.9× 103 0.7× 237 1.6× 45 1.3k
Saumitra Das United States 12 1.2k 1.3× 298 1.4× 317 1.6× 131 0.9× 180 1.2× 14 1.5k
Dorothea Hämmerer Germany 17 933 1.0× 175 0.8× 145 0.7× 210 1.4× 91 0.6× 33 1.3k
Finnegan J. Calabro United States 20 744 0.8× 211 1.0× 170 0.9× 193 1.3× 119 0.8× 64 1.2k
Vishnu P. Murty United States 14 950 1.0× 253 1.2× 174 0.9× 114 0.8× 160 1.1× 31 1.2k
Frida E. Polli United States 10 940 1.0× 231 1.1× 277 1.4× 127 0.8× 206 1.4× 13 1.3k
Kyoichi Nakajima Japan 7 1.3k 1.4× 197 0.9× 209 1.1× 94 0.6× 88 0.6× 10 1.5k
Noa Ofen United States 22 1.3k 1.4× 210 1.0× 177 0.9× 199 1.3× 138 0.9× 54 1.6k
Anja Dove United Kingdom 10 1.2k 1.3× 125 0.6× 204 1.0× 217 1.4× 86 0.6× 13 1.6k
Robert S. Blumenfeld United States 13 1.4k 1.5× 209 1.0× 269 1.4× 253 1.7× 119 0.8× 16 1.6k

Countries citing papers authored by Irene E. Nagel

Since Specialization
Citations

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

Fields of papers citing papers by Irene E. Nagel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irene E. Nagel. 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 Irene E. Nagel. The network helps show where Irene E. Nagel may publish in the future.

Co-authorship network of co-authors of Irene E. Nagel

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

All Works

16 of 16 papers shown
1.
Nagel, Irene E. & Ulman Lindenberger. (2015). Adult age differences in working memory: Evidence from functional neuroimaging. 129–154. 3 indexed citations
2.
Garrett, Douglas D., Irene E. Nagel, Claudia Preuschhof, et al.. (2015). Amphetamine modulates brain signal variability and working memory in younger and older adults. Proceedings of the National Academy of Sciences. 112(24). 7593–7598. 75 indexed citations
3.
Papenberg, Goran, Lars Bäckman, Irene E. Nagel, et al.. (2013). COMT polymorphism and memory dedifferentiation in old age.. Psychology and Aging. 29(2). 374–383. 33 indexed citations
4.
Papenberg, Goran, Shu Li, Irene E. Nagel, et al.. (2013). Dopamine and glutamate receptor genes interactively influence episodic memory in old age. Neurobiology of Aging. 35(5). 1213.e3–1213.e8. 22 indexed citations
5.
Burzynska, Agnieszka Z., Douglas D. Garrett, Claudia Preuschhof, et al.. (2013). A Scaffold for Efficiency in the Human Brain. Journal of Neuroscience. 33(43). 17150–17159. 58 indexed citations
6.
Papenberg, Goran, Lars Bäckman, Irene E. Nagel, et al.. (2013). Dopaminergic Gene Polymorphisms Affect Long-term Forgetting in Old Age: Further Support for the Magnification Hypothesis. Journal of Cognitive Neuroscience. 25(4). 571–579. 33 indexed citations
7.
Li, Shu, Goran Papenberg, Irene E. Nagel, et al.. (2012). Aging magnifies the effects of dopamine transporter and D2 receptor genes on backward serial memory. Neurobiology of Aging. 34(1). 358.e1–358.e10. 51 indexed citations
8.
Burzynska, Agnieszka Z., Irene E. Nagel, Claudia Preuschhof, et al.. (2011). Microstructure of Frontoparietal Connections Predicts Cortical Responsivity and Working Memory Performance. Cerebral Cortex. 21(10). 2261–2271. 66 indexed citations
9.
Burzynska, Agnieszka Z., Irene E. Nagel, Claudia Preuschhof, et al.. (2011). Cortical thickness is linked to executive functioning in adulthood and aging. Human Brain Mapping. 33(7). 1607–1620. 104 indexed citations
10.
Papenberg, Goran, Lars Bäckman, Christian Chicherio, et al.. (2011). Higher intraindividual variability is associated with more forgetting and dedifferentiated memory functions in old age. Neuropsychologia. 49(7). 1879–1888. 21 indexed citations
11.
Nagel, Irene E., Claudia Preuschhof, Shu Li, et al.. (2010). Load Modulation of BOLD Response and Connectivity Predicts Working Memory Performance in Younger and Older Adults. Journal of Cognitive Neuroscience. 23(8). 2030–2045. 128 indexed citations
12.
Nagel, Irene E., Claudia Preuschhof, Shu Li, et al.. (2009). Performance level modulates adult age differences in brain activation during spatial working memory. Proceedings of the National Academy of Sciences. 106(52). 22552–22557. 173 indexed citations
13.
Li, Shu, Christian Chicherio, Lars Nyberg, et al.. (2009). Ebbinghaus Revisited: Influences of the BDNF Val66Met Polymorphism on Backward Serial Recall Are Modulated by Human Aging. Journal of Cognitive Neuroscience. 22(10). 2164–2173. 49 indexed citations
14.
Nagel, Irene E.. (2008). Human aging magnifies genetic effects on executive functioning and working memory. Frontiers in Human Neuroscience. 2. 1–1. 317 indexed citations
15.
Nagel, Irene E., Eric H. Schumacher, Rainer Goebel, & Mark D’Esposito. (2008). Functional MRI investigation of verbal selection mechanisms in lateral prefrontal cortex. NeuroImage. 43(4). 801–807. 69 indexed citations
16.
Nagel, Irene E., et al.. (2007). Der Einfluss des Hirnalterungsprozesses auf die Kognition: Eine Integration struktureller und funktioneller Forschungsergebnisse. Max Planck Institute for Plasma Physics. 97–129. 1 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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