Katja Karg

1.8k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Katja Karg is a scholar working on Social Psychology, Developmental and Educational Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Katja Karg has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Social Psychology, 4 papers in Developmental and Educational Psychology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Katja Karg's work include Primate Behavior and Ecology (5 papers), Child and Animal Learning Development (4 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Katja Karg is often cited by papers focused on Primate Behavior and Ecology (5 papers), Child and Animal Learning Development (4 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Katja Karg collaborates with scholars based in Germany, United States and United Kingdom. Katja Karg's co-authors include Srijan Sen, Margit Burmeister, Kerby Shedden, Michael Tomasello, Martin Schmelz, Josep Call and Josef Perner and has published in prestigious journals such as PLoS ONE, Animal Behaviour and Journal of comparative psychology.

In The Last Decade

Katja Karg

8 papers receiving 1.2k citations

Hit Papers

The Serotonin Transporter Promoter Variant (5-HTTLPR), St... 2011 2026 2016 2021 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katja Karg Germany 8 505 291 264 252 220 8 1.2k
Miriam A. Schiele Germany 21 653 1.3× 175 0.6× 355 1.3× 217 0.9× 308 1.4× 85 1.5k
Ágnes Vetró Hungary 21 574 1.1× 142 0.5× 355 1.3× 170 0.7× 301 1.4× 58 1.3k
Heather Douglas-Palumberi United States 10 1.2k 2.3× 300 1.0× 242 0.9× 422 1.7× 239 1.1× 10 2.1k
Susanne Henningsson Sweden 19 273 0.5× 538 1.8× 329 1.2× 200 0.8× 334 1.5× 37 1.4k
Takeshi Otowa Japan 23 508 1.0× 340 1.2× 285 1.1× 122 0.5× 210 1.0× 64 1.6k
Johnna R. Swartz United States 24 649 1.3× 191 0.7× 318 1.2× 275 1.1× 588 2.7× 51 1.7k
Suzanne Vrshek‐Schallhorn United States 22 701 1.4× 304 1.0× 487 1.8× 432 1.7× 182 0.8× 55 1.3k
Courtney Shannon United States 9 351 0.7× 552 1.9× 169 0.6× 502 2.0× 154 0.7× 13 1.3k
Christie L. Burton Canada 21 647 1.3× 271 0.9× 110 0.4× 200 0.8× 370 1.7× 51 1.4k
Jorge Moya Spain 19 591 1.2× 154 0.5× 190 0.7× 108 0.4× 165 0.8× 52 1.2k

Countries citing papers authored by Katja Karg

Since Specialization
Citations

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

Fields of papers citing papers by Katja Karg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Karg

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

All Works

8 of 8 papers shown
1.
Karg, Katja, et al.. (2017). Great apes are sensitive to prior reliability of an informant in a gaze following task. PLoS ONE. 12(11). e0187451–e0187451. 11 indexed citations
2.
Karg, Katja, Martin Schmelz, Josep Call, & Michael Tomasello. (2016). Differing views: Can chimpanzees do Level 2 perspective-taking?. Animal Cognition. 19(3). 555–564. 34 indexed citations
3.
Karg, Katja, Martin Schmelz, Josep Call, & Michael Tomasello. (2015). Chimpanzees strategically manipulate what others can see. Animal Cognition. 18(5). 1069–1076. 21 indexed citations
4.
Karg, Katja, Martin Schmelz, Josep Call, & Michael Tomasello. (2015). The goggles experiment: can chimpanzees use self-experience to infer what a competitor can see?. Animal Behaviour. 105. 211–221. 52 indexed citations
5.
Karg, Katja, Martin Schmelz, Josep Call, & Michael Tomasello. (2014). All great ape species (Gorilla gorilla, Pan paniscus, Pan troglodytes, Pongo abelii) and two-and-a-half-year-old children (Homo sapiens) discriminate appearance from reality.. Journal of comparative psychology. 128(4). 431–439. 16 indexed citations
6.
Karg, Katja, Margit Burmeister, Kerby Shedden, & Srijan Sen. (2011). The Serotonin Transporter Promoter Variant (5-HTTLPR), Stress, and Depression Meta-Analysis Revisited: Evidence of Genetic Moderation. Europe PMC (PubMed Central). 1015 indexed citations breakdown →
7.
Karg, Katja, Margit Burmeister, Kerby Shedden, & Srijan Sen. (2011). The Serotonin Transporter Promoter Variant (5-HTTLPR), Stress, and Depression Meta-analysis Revisited. Archives of General Psychiatry. 68(5). 444–444. 61 indexed citations
8.
Karg, Katja & Srijan Sen. (2011). Gene × Environment Interaction Models in Psychiatric Genetics. Current topics in behavioral neurosciences. 12. 441–462. 10 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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