Dana Pfefferle

941 total citations
22 papers, 671 citations indexed

About

Dana Pfefferle is a scholar working on Social Psychology, Developmental Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Dana Pfefferle has authored 22 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Social Psychology, 14 papers in Developmental Biology and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Dana Pfefferle's work include Primate Behavior and Ecology (18 papers), Animal Vocal Communication and Behavior (14 papers) and Animal Behavior and Reproduction (12 papers). Dana Pfefferle is often cited by papers focused on Primate Behavior and Ecology (18 papers), Animal Vocal Communication and Behavior (14 papers) and Animal Behavior and Reproduction (12 papers). Dana Pfefferle collaborates with scholars based in Germany, United Kingdom and United States. Dana Pfefferle's co-authors include Julia Fischer, Elodie Ey, Michael Heistermann, Anja Widdig, Angelina Ruíz-Lambides, J. K. Hodges, Keith Hodges, U. Möhle, Anahita J.N. Kazem and Stefan Treue and has published in prestigious journals such as Nature Communications, PLoS ONE and Current Biology.

In The Last Decade

Dana Pfefferle

22 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana Pfefferle Germany 13 404 373 366 137 106 22 671
Anne Marijke Schel United Kingdom 18 725 1.8× 671 1.8× 322 0.9× 168 1.2× 124 1.2× 23 1.0k
Hiroki Koda Japan 16 485 1.2× 357 1.0× 259 0.7× 125 0.9× 110 1.0× 53 749
Andrius Pašukonis Austria 17 207 0.5× 225 0.6× 524 1.4× 99 0.7× 57 0.5× 29 829
Brandon C. Wheeler United States 13 378 0.9× 429 1.2× 347 0.9× 114 0.8× 69 0.7× 27 664
Marina Scheumann Germany 15 374 0.9× 296 0.8× 205 0.6× 168 1.2× 43 0.4× 43 670
Adriano R. Lameira United Kingdom 20 849 2.1× 580 1.6× 257 0.7× 235 1.7× 247 2.3× 45 1.1k
Sarah Gouzoules United States 14 558 1.4× 594 1.6× 422 1.2× 150 1.1× 196 1.8× 17 925
Jessica L. Yorzinski United States 14 241 0.6× 238 0.6× 386 1.1× 238 1.7× 73 0.7× 48 749
Christof Neumann Switzerland 18 393 1.0× 757 2.0× 532 1.5× 146 1.1× 166 1.6× 34 1.0k
Madeleine E. Hardus Netherlands 14 426 1.1× 372 1.0× 114 0.3× 149 1.1× 108 1.0× 20 625

Countries citing papers authored by Dana Pfefferle

Since Specialization
Citations

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

Fields of papers citing papers by Dana Pfefferle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Pfefferle

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Pfefferle. A scholar is included among the top collaborators of Dana Pfefferle 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 Dana Pfefferle. Dana Pfefferle 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.
Treue, Stefan, et al.. (2024). Choice-based severity scale (CSS): assessing the relative severity of procedures from a laboratory animal’s perspective. PeerJ. 12. e17300–e17300. 1 indexed citations
2.
Aung, Toe, Alexander K. Hill, Dana Pfefferle, et al.. (2023). Group size and mating system predict sex differences in vocal fundamental frequency in anthropoid primates. Nature Communications. 14(1). 4069–4069. 8 indexed citations
3.
Pfefferle, Dana, et al.. (2023). A Touchscreen-Based, Multiple-Choice Approach to Cognitive Enrichment of Captive Rhesus Macaques (Macaca mulatta). Animals. 13(17). 2702–2702. 4 indexed citations
4.
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Kazem, Anahita J.N., et al.. (2018). Parent–offspring facial resemblance increases with age in rhesus macaques. Proceedings of the Royal Society B Biological Sciences. 285(1886). 20181208–20181208. 3 indexed citations
7.
8.
Kazem, Anahita J.N., et al.. (2017). Data from: Parent-offspring facial resemblance increases with age in rhesus macaques. Data Archiving and Networked Services (DANS). 1 indexed citations
9.
Pfefferle, Dana, Kurt Hammerschmidt, Roger Mundry, et al.. (2016). Does the Structure of Female Rhesus Macaque Coo Calls Reflect Relatedness and/or Familiarity?. PLoS ONE. 11(8). e0161133–e0161133. 6 indexed citations
10.
Pfefferle, Dana, Angelina Ruíz-Lambides, & Anja Widdig. (2015). Male rhesus macaques use vocalizations to distinguish female maternal, but not paternal, kin from non-kin. Behavioral Ecology and Sociobiology. 69(10). 1677–1686. 8 indexed citations
11.
Pfefferle, Dana, et al.. (2014). Monkeys Spontaneously Discriminate Their Unfamiliar Paternal Kin under Natural Conditions Using Facial Cues. Current Biology. 24(15). 1806–1810. 44 indexed citations
12.
Higham, James P., Dana Pfefferle, Michael Heistermann, Dario Maestripieri, & Martin Stevens. (2013). Signaling in multiple modalities in male rhesus macaques: sex skin coloration and barks in relation to androgen levels, social status, and mating behavior. Behavioral Ecology and Sociobiology. 67(9). 1457–1469. 42 indexed citations
13.
Pfefferle, Dana, Angelina Ruíz-Lambides, & Anja Widdig. (2013). Female rhesus macaques discriminate unfamiliar paternal sisters in playback experiments: support for acoustic phenotype matching. Proceedings of the Royal Society B Biological Sciences. 281(1774). 20131628–20131628. 35 indexed citations
14.
Pfefferle, Dana, Michael Heistermann, Ralph Pirow, J. K. Hodges, & Julia Fischer. (2011). Estrogen and Progestogen Correlates of the Structure of Female Copulation Calls in Semi-Free-Ranging Barbary Macaques (Macaca sylvanus). International Journal of Primatology. 32(4). 992–1006. 20 indexed citations
15.
Pfefferle, Dana, Michael Heistermann, J. K. Hodges, & Julia Fischer. (2008). Male Barbary macaques eavesdrop on mating outcome: a playback study. Animal Behaviour. 75(6). 1885–1891. 21 indexed citations
16.
Ey, Elodie, Dana Pfefferle, & Julia Fischer. (2007). Do age- and sex-related variations reliably reflect body size in non-human primate vocalizations? A review. Primates. 48(4). 253–267. 128 indexed citations
17.
18.
Heistermann, Michael, et al.. (2007). Female ovarian cycle phase affects the timing of male sexual activity in free‐ranging Barbary macaques (Macaca sylvanus) of Gibraltar. American Journal of Primatology. 70(1). 44–53. 35 indexed citations
19.
Pfefferle, Dana, et al.. (2007). Do acoustic features of lion,Panthera leo, roars reflect sex and male condition?. The Journal of the Acoustical Society of America. 121(6). 3947–3953. 47 indexed citations
20.
Pfefferle, Dana, et al.. (2007). Female Barbary macaque ( Macaca sylvanus ) copulation calls do not reveal the fertile phase but influence mating outcome. Proceedings of the Royal Society B Biological Sciences. 275(1634). 571–578. 45 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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