Susanne Diekelmann

8.3k total citations · 1 hit paper
51 papers, 5.8k citations indexed

About

Susanne Diekelmann is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Susanne Diekelmann has authored 51 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cognitive Neuroscience, 32 papers in Experimental and Cognitive Psychology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Susanne Diekelmann's work include Sleep and Wakefulness Research (48 papers), Memory and Neural Mechanisms (38 papers) and Sleep and related disorders (29 papers). Susanne Diekelmann is often cited by papers focused on Sleep and Wakefulness Research (48 papers), Memory and Neural Mechanisms (38 papers) and Sleep and related disorders (29 papers). Susanne Diekelmann collaborates with scholars based in Germany, Switzerland and Argentina. Susanne Diekelmann's co-authors include Jan Born, Ines Wilhelm, Björn Rasch, Ullrich Wagner, Matthias Mölle, Christian Büchel, Sabine Groch, Ina Molzow, Tanja Lange and Gordon B. Feld and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Nature reviews. Neuroscience.

In The Last Decade

Susanne Diekelmann

51 papers receiving 5.6k citations

Hit Papers

The memory function of sleep 2010 2026 2015 2020 2010 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susanne Diekelmann Germany 26 5.1k 2.7k 1.1k 916 273 51 5.8k
Virginie Sterpenich Belgium 34 3.5k 0.7× 1.6k 0.6× 715 0.6× 837 0.9× 170 0.6× 63 4.4k
Thien Thanh Dang‐Vu Canada 39 4.5k 0.9× 2.4k 0.9× 693 0.6× 941 1.0× 112 0.4× 126 5.5k
Martin Desseilles Belgium 34 3.6k 0.7× 1.8k 0.7× 682 0.6× 658 0.7× 122 0.4× 104 4.8k
Edward F. Pace‐Schott United States 36 5.1k 1.0× 3.6k 1.3× 755 0.7× 1.3k 1.4× 107 0.4× 115 6.4k
Robert Stickgold United States 33 6.2k 1.2× 3.1k 1.2× 1.0k 0.9× 708 0.8× 565 2.1× 60 7.2k
Steffen Gais Germany 38 7.6k 1.5× 3.4k 1.3× 2.0k 1.7× 1.2k 1.3× 283 1.0× 77 8.7k
Géraldine Rauchs France 28 2.9k 0.6× 1.4k 0.5× 610 0.5× 491 0.5× 124 0.5× 78 3.5k
Carlyle Smith Canada 31 4.4k 0.9× 2.1k 0.8× 1.4k 1.2× 773 0.8× 92 0.3× 65 4.8k
Gilles Vandewalle Belgium 45 4.8k 0.9× 2.4k 0.9× 1.1k 1.0× 2.1k 2.3× 327 1.2× 121 7.1k
Matthias Mölle Germany 38 7.1k 1.4× 2.8k 1.0× 2.0k 1.8× 1.4k 1.5× 146 0.5× 81 8.2k

Countries citing papers authored by Susanne Diekelmann

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Diekelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Diekelmann

This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Diekelmann. A scholar is included among the top collaborators of Susanne Diekelmann 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 Susanne Diekelmann. Susanne Diekelmann 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.
Diekelmann, Susanne, et al.. (2024). An update on recent advances in targeted memory reactivation during sleep. npj Science of Learning. 9(1). 31–31. 10 indexed citations
2.
Born, Jan, et al.. (2022). No difference between slow oscillation up‐ and down‐state cueing for memory consolidation during sleep. Journal of Sleep Research. 31(6). e13562–e13562. 10 indexed citations
3.
Born, Jan, et al.. (2021). The effect of zolpidem on targeted memory reactivation during sleep. Learning & Memory. 28(9). 307–318. 9 indexed citations
4.
Pavlov, Yuri G., et al.. (2020). Sleep in disorders of consciousness: behavioral and polysomnographic recording. BMC Medicine. 18(1). 350–350. 23 indexed citations
5.
Feld, Gordon B. & Susanne Diekelmann. (2020). Building the Bridge: Outlining Steps Toward an Applied Sleep-and-Memory Research Program. Current Directions in Psychological Science. 29(6). 554–562. 7 indexed citations
6.
Diekelmann, Susanne, et al.. (2019). Sleep accelerates re-stabilization of human declarative memories. Neurobiology of Learning and Memory. 162. 1–8. 13 indexed citations
7.
Klinzing, Jens G., et al.. (2017). Odor cueing during slow-wave sleep benefits memory independently of low cholinergic tone. Psychopharmacology. 235(1). 291–299. 22 indexed citations
8.
Born, Jan, et al.. (2017). Consolidation of Prospective Memory: Effects of Sleep on Completed and Reinstated Intentions. Frontiers in Psychology. 7. 2025–2025. 21 indexed citations
9.
Zander-Schellenberg, Thea, Kirsten G. Volz, Jan Born, & Susanne Diekelmann. (2017). Sleep increases explicit solutions and reduces intuitive judgments of semantic coherence. Learning & Memory. 24(12). 641–645. 2 indexed citations
10.
Klinzing, Jens G., Björn Rasch, Jan Born, & Susanne Diekelmann. (2016). Sleep’s role in the reconsolidation of declarative memories. Neurobiology of Learning and Memory. 136. 166–173. 22 indexed citations
11.
Hallschmid, Manfred, et al.. (2015). The Role of Sleep in Motor Sequence Consolidation: Stabilization Rather Than Enhancement. Journal of Neuroscience. 35(17). 6696–6702. 73 indexed citations
12.
Diekelmann, Susanne. (2014). Sleep for cognitive enhancement. Frontiers in Systems Neuroscience. 8. 46–46. 115 indexed citations
13.
Diekelmann, Susanne, et al.. (2014). Sleep fragmentation and false memories during pregnancy and motherhood. Behavioural Brain Research. 266. 52–57. 9 indexed citations
14.
Diekelmann, Susanne, Ines Wilhelm, Ullrich Wagner, & Jan Born. (2012). Sleep to Implement an Intention. SLEEP. 36(1). 149–153. 55 indexed citations
15.
Groch, Sabine, Ines Wilhelm, Susanne Diekelmann, & Jan Born. (2012). The role of REM sleep in the processing of emotional memories: Evidence from behavior and event-related potentials. Neurobiology of Learning and Memory. 99. 1–9. 145 indexed citations
16.
Groch, Sabine, Ines Wilhelm, Susanne Diekelmann, et al.. (2011). Contribution of norepinephrine to emotional memory consolidation during sleep. Psychoneuroendocrinology. 36(9). 1342–1350. 70 indexed citations
17.
Diekelmann, Susanne & Jan Born. (2010). Slow-wave sleep takes the leading role in memory reorganization. Nature reviews. Neuroscience. 11(3). 218–218. 121 indexed citations
18.
Diekelmann, Susanne, Jan Born, & Ullrich Wagner. (2009). Sleep enhances false memories depending on general memory performance. Behavioural Brain Research. 208(2). 425–429. 106 indexed citations
19.
Diekelmann, Susanne, Ines Wilhelm, & Jan Born. (2009). The whats and whens of sleep-dependent memory consolidation. Sleep Medicine Reviews. 13(5). 309–321. 415 indexed citations
20.
Wilhelm, Ines, Susanne Diekelmann, & Jan Born. (2008). Sleep in children improves memory performance on declarative but not procedural tasks. Learning & Memory. 15(5). 373–377. 202 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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