Daniela Vallentin

1.3k total citations
20 papers, 775 citations indexed

About

Daniela Vallentin is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Daniela Vallentin has authored 20 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Developmental Biology, 11 papers in Ecology, Evolution, Behavior and Systematics and 10 papers in Ecology. Recurrent topics in Daniela Vallentin's work include Animal Vocal Communication and Behavior (12 papers), Animal Behavior and Reproduction (11 papers) and Marine animal studies overview (10 papers). Daniela Vallentin is often cited by papers focused on Animal Vocal Communication and Behavior (12 papers), Animal Behavior and Reproduction (11 papers) and Marine animal studies overview (10 papers). Daniela Vallentin collaborates with scholars based in Germany, United States and Switzerland. Daniela Vallentin's co-authors include Michael A. Long, Andreas Nieder, Georg Kosche, Jonathan I. Benichov, Simon N. Jacob, Dina Lipkind, Sam E. Benezra, György Buzsáki, Daniel F. English and Adrien Peyrache and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Daniela Vallentin

19 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Vallentin Germany 12 344 336 284 189 179 20 775
Lena Veit Germany 9 138 0.4× 205 0.6× 207 0.7× 96 0.5× 44 0.2× 14 410
Helen M. Ditz Germany 8 175 0.5× 74 0.2× 77 0.3× 23 0.1× 266 1.5× 8 432
Ronald G. Weisman Canada 20 175 0.5× 666 2.0× 551 1.9× 388 2.1× 15 0.1× 56 961
Neil McMillan Canada 13 280 0.8× 95 0.3× 100 0.4× 61 0.3× 41 0.2× 44 555
Thane Fremouw United States 17 569 1.7× 439 1.3× 381 1.3× 283 1.5× 30 0.2× 29 1.1k
Brett M. Gibson United States 16 342 1.0× 63 0.2× 140 0.5× 41 0.2× 33 0.2× 51 695
Karyl B. Swartz United States 16 340 1.0× 148 0.4× 97 0.3× 37 0.2× 129 0.7× 29 854
Xiaofeng Ma United States 14 994 2.9× 116 0.3× 125 0.4× 79 0.4× 8 0.0× 32 1.2k
Z. A. Zorina Russia 9 74 0.2× 86 0.3× 106 0.4× 18 0.1× 68 0.4× 32 371
Jonathan Niall Daisley United Kingdom 11 130 0.4× 69 0.2× 236 0.8× 118 0.6× 16 0.1× 18 514

Countries citing papers authored by Daniela Vallentin

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Vallentin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Vallentin

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Vallentin. A scholar is included among the top collaborators of Daniela Vallentin 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 Daniela Vallentin. Daniela Vallentin 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.
Mendoza, Ezequiel, et al.. (2024). Disinhibition enables vocal repertoire expansion after a critical period. Nature Communications. 15(1). 7565–7565. 1 indexed citations
2.
Xiong, Y., et al.. (2024). Female calls promote song learning in male juvenile zebra finches. Nature Communications. 15(1). 8938–8938. 5 indexed citations
3.
Vallentin, Daniela, et al.. (2024). A neuroethological view of the multifaceted sensory influences on birdsong. Current Opinion in Neurobiology. 86. 102867–102867.
4.
Benichov, Jonathan I., et al.. (2023). Wild nightingales flexibly match whistle pitch in real time. Current Biology. 33(15). 3169–3178.e3. 7 indexed citations
5.
Norton, Philipp, et al.. (2022). A feedforward inhibitory premotor circuit for auditory–vocal interactions in zebra finches. Proceedings of the National Academy of Sciences. 119(23). e2118448119–e2118448119. 5 indexed citations
6.
Sibille, Jérémie, et al.. (2022). High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons. Nature Communications. 13(1). 5218–5218. 32 indexed citations
7.
Banerjee, Arkarup & Daniela Vallentin. (2022). Convergent behavioral strategies and neural computations during vocal turn-taking across diverse species. Current Opinion in Neurobiology. 73. 102529–102529. 8 indexed citations
8.
Benichov, Jonathan I. & Daniela Vallentin. (2020). Inhibition within a premotor circuit controls the timing of vocal turn-taking in zebra finches. Nature Communications. 11(1). 221–221. 25 indexed citations
9.
Picardo, Michel A., Josh Merel, Kalman A. Katlowitz, et al.. (2016). Population-Level Representation of a Temporal Sequence Underlying Song Production in the Zebra Finch. Neuron. 90(4). 866–876. 78 indexed citations
10.
Benichov, Jonathan I., et al.. (2016). The Forebrain Song System Mediates Predictive Call Timing in Female and Male Zebra Finches. Current Biology. 26(3). 309–318. 77 indexed citations
11.
Vallentin, Daniela, Georg Kosche, Dina Lipkind, & Michael A. Long. (2016). Inhibition protects acquired song segments during vocal learning in zebra finches. Science. 351(6270). 267–271. 89 indexed citations
12.
Vallentin, Daniela & Michael A. Long. (2015). Motor Origin of Precise Synaptic Inputs onto Forebrain Neurons Driving a Skilled Behavior. Journal of Neuroscience. 35(1). 299–307. 36 indexed citations
13.
Kosche, Georg, Daniela Vallentin, & Michael A. Long. (2015). Interplay of Inhibition and Excitation Shapes a Premotor Neural Sequence. Journal of Neuroscience. 35(3). 1217–1227. 64 indexed citations
14.
English, Daniel F., Adrien Peyrache, Eran Stark, et al.. (2014). Excitation and Inhibition Compete to Control Spiking during Hippocampal Ripples: Intracellular Study in Behaving Mice. Journal of Neuroscience. 34(49). 16509–16517. 108 indexed citations
15.
Jacob, Simon N., Daniela Vallentin, & Andreas Nieder. (2012). Relating magnitudes: the brain's code for proportions. Trends in Cognitive Sciences. 16(3). 157–166. 85 indexed citations
16.
Vallentin, Daniela, et al.. (2012). Numerical Rule Coding in the Prefrontal, Premotor, and Posterior Parietal Cortices of Macaques. Journal of Neuroscience. 32(19). 6621–6630. 57 indexed citations
17.
Vallentin, Daniela, Simon N. Jacob, & Andreas Nieder. (2012). Neuronal representation of number and proportion in the primate brain. e-Neuroforum. 18(2). 27–33. 1 indexed citations
18.
Vallentin, Daniela, Simon Jacob, & Andreas Nieder. (2012). Neurobiologische Grundlagen der Verarbeitung von Anzahlen und Proportionen im Primatengehirn. e-Neuroforum. 18(2). 196–203. 1 indexed citations
19.
Vallentin, Daniela & Andreas Nieder. (2010). Representations of visual proportions in the primate posterior parietal and prefrontal cortices. European Journal of Neuroscience. 32(8). 1380–1387. 36 indexed citations
20.
Vallentin, Daniela & Andreas Nieder. (2008). Behavioral and Prefrontal Representation of Spatial Proportions in the Monkey. Current Biology. 18(18). 1420–1425. 60 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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