Almut Hupbach

2.5k total citations
37 papers, 1.6k citations indexed

About

Almut Hupbach is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Almut Hupbach has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 10 papers in Developmental and Educational Psychology and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Almut Hupbach's work include Memory Processes and Influences (25 papers), Memory and Neural Mechanisms (21 papers) and Child and Animal Learning Development (8 papers). Almut Hupbach is often cited by papers focused on Memory Processes and Influences (25 papers), Memory and Neural Mechanisms (21 papers) and Child and Animal Learning Development (8 papers). Almut Hupbach collaborates with scholars based in United States, Canada and Germany. Almut Hupbach's co-authors include Lynn Nadel, Rebecca L. Gómez, Oliver Hardt, Richard R. Bootzin, Lucy E. Napper, Anna C. Schapiro, Samuel J. Gershman, Kenneth A. Norman, Werner Wippich and Sonia Lupien and has published in prestigious journals such as Journal of Neuroscience, The Journal of Clinical Endocrinology & Metabolism and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Almut Hupbach

36 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Almut Hupbach United States 17 1.3k 382 381 260 182 37 1.6k
Aidan J. Horner United Kingdom 27 1.9k 1.5× 410 1.1× 329 0.9× 304 1.2× 259 1.4× 55 2.1k
Daniela J. Palombo Canada 23 1.3k 1.0× 548 1.4× 151 0.4× 350 1.3× 202 1.1× 70 1.7k
Deborah E. Hannula United States 20 1.8k 1.4× 244 0.6× 502 1.3× 206 0.8× 212 1.2× 35 2.1k
Jordan Poppenk Canada 14 1.4k 1.1× 178 0.5× 465 1.2× 208 0.8× 99 0.5× 24 1.6k
Erie D. Boorman United States 15 1.8k 1.4× 155 0.4× 304 0.8× 288 1.1× 256 1.4× 21 2.2k
Nils Kolling United Kingdom 23 2.2k 1.7× 143 0.4× 294 0.8× 298 1.1× 296 1.6× 36 2.7k
Guillem R. Esber United States 16 1.1k 0.9× 133 0.3× 516 1.4× 109 0.4× 145 0.8× 37 1.3k
Rachel A. Diana United States 18 1.9k 1.5× 287 0.8× 408 1.1× 176 0.7× 334 1.8× 33 2.1k
Youssef Ezzyat United States 15 1.9k 1.5× 188 0.5× 445 1.2× 325 1.3× 273 1.5× 21 2.3k
Heather J. Rice United States 10 1.2k 1.0× 314 0.8× 239 0.6× 185 0.7× 155 0.9× 10 1.5k

Countries citing papers authored by Almut Hupbach

Since Specialization
Citations

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

Fields of papers citing papers by Almut Hupbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Almut Hupbach

This figure shows the co-authorship network connecting the top 25 collaborators of Almut Hupbach. A scholar is included among the top collaborators of Almut Hupbach 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 Almut Hupbach. Almut Hupbach 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.
Anderson, K., Wenpeng Cao, Hui Sun Lee, et al.. (2024). A novel anxiety-associated SNP identified in LYNX2 (LYPD1) is associated with decreased protein binding to nicotinic acetylcholine receptors. Frontiers in Behavioral Neuroscience. 18. 1347543–1347543. 1 indexed citations
2.
Hupbach, Almut, et al.. (2022). The effects of variable encoding contexts on item and source recognition. Memory & Cognition. 51(2). 391–403. 2 indexed citations
3.
Hupbach, Almut, et al.. (2020). Repeated encoding fosters retention of perceptual detail in visual recognition memory. Learning & Memory. 27(11). 457–461. 3 indexed citations
4.
Hupbach, Almut, et al.. (2019). Different reactivation procedures enable or prevent episodic memory updating. Hippocampus. 30(8). 806–814. 5 indexed citations
5.
Napper, Lucy E., et al.. (2016). Does reactivation trigger episodic memory change? A meta-analysis. Neurobiology of Learning and Memory. 142(Pt A). 99–107. 62 indexed citations
6.
Hupbach, Almut, et al.. (2014). Stress selectively affects the reactivated components of a declarative memory.. Behavioral Neuroscience. 128(5). 614–620. 17 indexed citations
7.
Packer, Dominic J., et al.. (2013). Social categories create (biased) semantic interference during face naming. Cognitive Science. 35(35). 1 indexed citations
8.
Hupbach, Almut, et al.. (2013). Effects of psychosocial stress on episodic memory updating. Psychopharmacology. 226(4). 769–779. 20 indexed citations
9.
Gershman, Samuel J., Anna C. Schapiro, Almut Hupbach, & Kenneth A. Norman. (2013). Neural Context Reinstatement Predicts Memory Misattribution. Journal of Neuroscience. 33(20). 8590–8595. 65 indexed citations
10.
Hupbach, Almut & Lili Sahakyan. (2013). Additional boundary condition for list-method directed forgetting: The effect of presentation format.. Journal of Experimental Psychology Learning Memory and Cognition. 40(2). 596–601. 8 indexed citations
11.
Hupbach, Almut, et al.. (2013). Memory for emotionally arousing items: Context preexposure enhances subsequent context–item binding.. Emotion. 14(3). 611–614. 4 indexed citations
12.
Hupbach, Almut. (2013). When Forgetting Preserves Memory. Frontiers in Psychology. 4. 32–32. 5 indexed citations
13.
Hupbach, Almut, et al.. (2012). Moderate stress enhances immediate and delayed retrieval of educationally relevant material in healthy young men.. Behavioral Neuroscience. 126(6). 819–825. 35 indexed citations
14.
Nadel, Lynn, et al.. (2012). Memory formation, consolidation and transformation. Neuroscience & Biobehavioral Reviews. 36(7). 1640–1645. 206 indexed citations
15.
Marin, Marie‐France, Almut Hupbach, Françoise S. Maheu, Karim Nader, & Sonia Lupien. (2011). Metyrapone Administration Reduces the Strength of an Emotional Memory Trace in a Long-Lasting Manner. The Journal of Clinical Endocrinology & Metabolism. 96(8). E1221–E1227. 40 indexed citations
16.
Hupbach, Almut, Rebecca L. Gómez, Richard R. Bootzin, & Lynn Nadel. (2009). Nap‐dependent learning in infants. Developmental Science. 12(6). 1007–1012. 145 indexed citations
17.
Hardt, Oliver, Almut Hupbach, & Lynn Nadel. (2009). Factors moderating blocking in human place learning: The role of task instructions. Learning & Behavior. 37(1). 42–59. 16 indexed citations
18.
Hupbach, Almut, Rebecca L. Gómez, Oliver Hardt, & Lynn Nadel. (2007). Reconsolidation of episodic memories: A subtle reminder triggers integration of new information. Learning & Memory. 14(1-2). 47–53. 396 indexed citations
19.
Glisky, Elizabeth L., Lee Ryan, Sheryl L. Reminger, et al.. (2004). A case of psychogenic fugue: I understand, aber ich verstehe nichts. Neuropsychologia. 42(8). 1132–1147. 39 indexed citations
20.
Hupbach, Almut, et al.. (2003). Age-related improvements in a conceptual implicit memory test. Memory & Cognition. 31(8). 1208–1217. 18 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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