Daniel Kaping

1.6k total citations · 1 hit paper
31 papers, 1.1k citations indexed

About

Daniel Kaping is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Pharmacology. According to data from OpenAlex, Daniel Kaping has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 6 papers in Experimental and Cognitive Psychology and 4 papers in Pharmacology. Recurrent topics in Daniel Kaping's work include Neural dynamics and brain function (10 papers), Face Recognition and Perception (10 papers) and Neural and Behavioral Psychology Studies (7 papers). Daniel Kaping is often cited by papers focused on Neural dynamics and brain function (10 papers), Face Recognition and Perception (10 papers) and Neural and Behavioral Psychology Studies (7 papers). Daniel Kaping collaborates with scholars based in United States, Germany and Czechia. Daniel Kaping's co-authors include Osman B. Kavcar, Paul Duhamel, Yoko Mizokami, Thilo Womelsdorf, Stefan Everling, Martin Vinck, Salva Ardid, Stephanie Westendorff, R. Matthew Hutchison and Stefan Treue and has published in prestigious journals such as Nature, Journal of Neuroscience and NeuroImage.

In The Last Decade

Daniel Kaping

26 papers receiving 1.1k citations

Hit Papers

Adaptation to natural facial categories 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Kaping United States 16 861 329 152 111 108 31 1.1k
Lisa E. Williams United States 21 576 0.7× 274 0.8× 95 0.6× 47 0.4× 8 0.1× 34 1.3k
Qiang Luo China 22 902 1.0× 237 0.7× 133 0.9× 31 0.3× 7 0.1× 62 1.3k
Katherine M. Armstrong United States 12 1.8k 2.1× 128 0.4× 296 1.9× 36 0.3× 130 1.2× 13 2.2k
Axel Larsen Denmark 17 735 0.9× 327 1.0× 130 0.9× 75 0.7× 174 1.6× 29 1.2k
Manish Saggar United States 22 805 0.9× 312 0.9× 73 0.5× 11 0.1× 22 0.2× 52 1.3k
George A. Heise United States 21 898 1.0× 273 0.8× 600 3.9× 198 1.8× 18 0.2× 33 1.8k
János Horváth Hungary 27 2.2k 2.5× 839 2.6× 85 0.6× 44 0.4× 9 0.1× 85 2.6k
Kaitlin E. Browman United States 21 425 0.5× 142 0.4× 759 5.0× 131 1.2× 5 0.0× 35 1.6k
Sara Sannino Italy 16 128 0.1× 79 0.2× 118 0.8× 18 0.2× 19 0.2× 24 827
Dan Lloyd United States 11 963 1.1× 213 0.6× 59 0.4× 12 0.1× 9 0.1× 39 1.2k

Countries citing papers authored by Daniel Kaping

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kaping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kaping

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kaping. A scholar is included among the top collaborators of Daniel Kaping 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 Daniel Kaping. Daniel Kaping 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.
Kaping, Daniel, et al.. (2023). Phase of neural oscillations as a reference frame for attention-based routing in visual cortex. Progress in Neurobiology. 233. 102563–102563. 1 indexed citations
2.
Petrásek, Tomáš, Jakub Rak, Daniel Kaping, et al.. (2021). mTOR inhibitor improves autistic-like behaviors related to Tsc2 haploinsufficiency but not following developmental status epilepticus. Journal of Neurodevelopmental Disorders. 13(1). 14–14. 25 indexed citations
3.
Uttl, Libor, Robert Waltereit, Daniel Kaping, et al.. (2019). Tuberous Sclerosis (tsc2+/-) Model Eker Rats Reveals Extensive Neuronal Loss with Microglial Invasion and Vascular Remodeling Related to Brain Neoplasia. Neurotherapeutics. 17(1). 329–339. 10 indexed citations
4.
Hepnarová, Vendula, Jan Korábečný, Petr Jošt, et al.. (2018). The concept of hybrid molecules of tacrine and benzyl quinolone carboxylic acid (BQCA) as multifunctional agents for Alzheimer's disease. European Journal of Medicinal Chemistry. 150. 292–306. 53 indexed citations
5.
Kaping, Daniel, Jiřı́ Horáček, Tomáš Páleníček, et al.. (2017). Trans-generational neurochemical modulation of methamphetamine in the adult brain of the Wistar rat. Archives of Toxicology. 91(10). 3373–3384. 15 indexed citations
6.
Špilovská, Katarína, Jan Korábečný, Vendula Šepsová, et al.. (2017). Novel Tacrine-Scutellarin Hybrids as Multipotent Anti-Alzheimer’s Agents: Design, Synthesis and Biological Evaluation. Molecules. 22(6). 1006–1006. 35 indexed citations
7.
Xue, Cheng, et al.. (2016). Spatial Attention Reduces Burstiness in Macaque Visual Cortical Area MST. Cerebral Cortex. 27(1). 83–91. 15 indexed citations
8.
Ardid, Salva, et al.. (2015). Mapping of Functionally Characterized Cell Classes onto Canonical Circuit Operations in Primate Prefrontal Cortex. Journal of Neuroscience. 35(7). 2975–2991. 67 indexed citations
9.
Leonard, Timothy K., Emad N. Eskandar, Jason L. Gerrard, et al.. (2015). Sharp Wave Ripples during Visual Exploration in the Primate Hippocampus. Journal of Neuroscience. 35(44). 14771–14782. 50 indexed citations
10.
Micheli, Cristiano, Daniel Kaping, Stephanie Westendorff, Taufik A. Valiante, & Thilo Womelsdorf. (2015). Inferior-frontal cortex phase synchronizes with the temporal–parietal junction prior to successful change detection. NeuroImage. 119. 417–431. 18 indexed citations
11.
12.
Lipsman, Nir, Daniel Kaping, Stephanie Westendorff, et al.. (2013). Beta coherence within human ventromedial prefrontal cortex precedes affective value choices. NeuroImage. 85. 769–778. 30 indexed citations
13.
Kaping, Daniel, Martin Vinck, R. Matthew Hutchison, Stefan Everling, & Thilo Womelsdorf. (2011). Specific Contributions of Ventromedial, Anterior Cingulate, and Lateral Prefrontal Cortex for Attentional Selection and Stimulus Valuation. PLoS Biology. 9(12). e1001224–e1001224. 93 indexed citations
14.
Kaping, Daniel, Carmen Morawetz, Jürgen Baudewig, et al.. (2010). Face distortion aftereffect activates motion and face sensitive areas: an fMRI study. Journal of Vision. 7(9). 881–881.
15.
Kaping, Daniel, et al.. (2010). Effect of adaptation suggests role of low-level processes in rapid scene categorization. Journal of Vision. 6(6). 800–800.
16.
Kaping, Daniel, et al.. (2006). Adaptation to statistical properties of visual scenes biases rapid categorization. Visual Cognition. 15(1). 12–19. 29 indexed citations
17.
Kavcar, Osman B., Daniel Kaping, Yoko Mizokami, & Paul Duhamel. (2004). Adaptation to natural facial categories. Nature. 428(6982). 557–561. 515 indexed citations breakdown →
18.
Kaping, Daniel, et al.. (2004). Adaptation and the perception of facial symmetry. Journal of Vision. 4(8). 440–440. 2 indexed citations
19.
Graf, Markus, Daniel Kaping, & HH Bülthoff. (2003). Orientation congruency effect in object recognition. Max Planck Digital Library.
20.
Graf, Markus, Daniel Kaping, & HH Bülthoff. (2003). Reference Frame Adjustment In Object Recognition. Max Planck Digital Library. 1.

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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