Jessica Sänger

22 total papers · 822 total citations
8 papers, 611 citations indexed

About

Jessica Sänger is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Experimental and Cognitive Psychology. According to data from OpenAlex, Jessica Sänger has authored 8 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Jessica Sänger's work include Neural and Behavioral Psychology Studies (7 papers), Visual perception and processing mechanisms (4 papers) and Multisensory perception and integration (2 papers). Jessica Sänger is often cited by papers focused on Neural and Behavioral Psychology Studies (7 papers), Visual perception and processing mechanisms (4 papers) and Multisensory perception and integration (2 papers). Jessica Sänger collaborates with scholars based in Germany and Switzerland. Jessica Sänger's co-authors include Edmund Wascher, Sven Falkenstein Hoffmann, Daniel Schneider, Gerhard Rinkenauer, Herbert Heuer, Ingmar Gutberlet, Björn Rasch, Meinolf Blaszkewicz, Daniela Schoofs and Marc Grosjean and has published in prestigious journals such as Neuropsychologia, Psychophysiology and Behavioural Brain Research.

In The Last Decade

Jessica Sänger

8 papers receiving 604 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jessica Sänger 392 156 116 109 76 8 611
Samantha J. Reznik 414 1.1× 184 1.2× 97 0.8× 100 0.9× 24 0.3× 16 677
Lois E. Putnam 464 1.2× 214 1.4× 99 0.9× 45 0.4× 29 0.4× 17 672
Nicole Y. Weekes 236 0.6× 156 1.0× 133 1.1× 77 0.7× 183 2.4× 16 618
Steven van der Werff 233 0.6× 162 1.0× 93 0.8× 43 0.4× 49 0.6× 7 506
Arvid Morell 266 0.7× 206 1.3× 108 0.9× 34 0.3× 84 1.1× 14 640
Anita Miller 378 1.0× 161 1.0× 101 0.9× 60 0.6× 31 0.4× 12 633
Marianne C. Reddan 355 0.9× 160 1.0× 118 1.0× 30 0.3× 55 0.7× 17 622
José M. Oliveira 216 0.6× 137 0.9× 192 1.7× 49 0.4× 61 0.8× 20 614
Lin Nga 277 0.7× 182 1.2× 73 0.6× 189 1.7× 137 1.8× 10 572
Filippo Migliorati 376 1.0× 188 1.2× 137 1.2× 30 0.3× 39 0.5× 8 553

Countries citing papers authored by Jessica Sänger

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Sänger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Sänger

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

All Works

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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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