Daniel N. Düring

608 total citations
9 papers, 403 citations indexed

About

Daniel N. Düring is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Daniel N. Düring has authored 9 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Developmental Biology, 6 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Ecology. Recurrent topics in Daniel N. Düring's work include Animal Vocal Communication and Behavior (7 papers), Animal Behavior and Reproduction (5 papers) and Marine animal studies overview (4 papers). Daniel N. Düring is often cited by papers focused on Animal Vocal Communication and Behavior (7 papers), Animal Behavior and Reproduction (5 papers) and Marine animal studies overview (4 papers). Daniel N. Düring collaborates with scholars based in Germany, Switzerland and Denmark. Daniel N. Düring's co-authors include Coen P. H. Elemans, Constance Scharff, Christopher K. Thompson, Alexander Ziegler, Cornelius Faber, Johannes Müller, Andreas Ziegler, Manfred Gahr, Sue Anne Zollinger and Ming Ding and has published in prestigious journals such as Nature Communications, The Journal of Comparative Neurology and Scientific Reports.

In The Last Decade

Daniel N. Düring

9 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel N. Düring Germany	9	193	151	147	82	37	9	403
Douglas B. Quine United States	11	385 2.0×	311 2.1×	251 1.7×	47 0.6×	22 0.6×	21	627
Valentina Caorsi Italy	14	100 0.5×	143 0.9×	111 0.8×	181 2.2×	3 0.1×	46	600
Devin P. Merullo United States	8	116 0.6×	121 0.8×	61 0.4×	195 2.4×	2 0.1×	12	434
Yoni Vortman Israel	12	44 0.2×	297 2.0×	171 1.2×	56 0.7×	5 0.1×	31	448
Moritz Hertel Germany	14	96 0.5×	167 1.1×	117 0.8×	115 1.4×	2 0.1×	19	394
Ralph Simon Germany	17	177 0.9×	294 1.9×	178 1.2×	311 3.8×	30 0.8×	40	831
Melvin L. Kreithen United States	9	157 0.8×	205 1.4×	282 1.9×	37 0.5×	3 0.1×	10	531
Ron Hoy United States	11	60 0.3×	286 1.9×	26 0.2×	32 0.4×	19 0.5×	13	499
Paul Harvey United Kingdom	11	19 0.1×	164 1.1×	123 0.8×	72 0.9×	3 0.1×	20	884
Eric R. Schuppe United States	13	97 0.5×	236 1.6×	82 0.6×	25 0.3×	7 0.2×	21	357

Countries citing papers authored by Daniel N. Düring

Since Specialization

Citations

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

Fields of papers citing papers by Daniel N. Düring

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel N. Düring

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

All Works

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9 of 9 papers shown

Kriesell, Hannah Joy, Céline Le Bohec, Alexander F. Cerwenka, et al.. (2020). Vocal tract anatomy of king penguins: morphological traits of two-voiced sound production. Frontiers in Zoology. 17(1). 5–5. 11 indexed citations

Düring, Daniel N., Falk Dittrich, Ryosuke O. Tachibana, et al.. (2020). Fast Retrograde Access to Projection Neuron Circuits Underlying Vocal Learning in Songbirds. Cell Reports. 33(6). 108364–108364. 23 indexed citations

Cerwenka, Alexander F., et al.. (2020). The hummingbird syrinx morphome: a detailed three-dimensional description of the black jacobin’s vocal organ. BMC Zoology. 5(1). 8 indexed citations

Düring, Daniel N., Philipp Bethge, Fabian F. Voigt, et al.. (2019). Tissue Clearing and Light Sheet Microscopy: Imaging the Unsectioned Adult Zebra Finch Brain at Cellular Resolution. Frontiers in Neuroanatomy. 13. 13–13. 18 indexed citations

Düring, Daniel N., et al.. (2019). Expansion Light Sheet Microscopy Resolves Subcellular Structures in Large Portions of the Songbird Brain. Frontiers in Neuroanatomy. 13. 2–2. 21 indexed citations

Düring, Daniel N., Benjamin Knörlein, & Coen P. H. Elemans. (2017). In situ vocal fold properties and pitch prediction by dynamic actuation of the songbird syrinx. Scientific Reports. 7(1). 11296–11296. 19 indexed citations

Elemans, Coen P. H., Jeppe Have Rasmussen, Christian T. Herbst, et al.. (2015). Universal mechanisms of sound production and control in birds and mammals. Nature Communications. 6(1). 8978–8978. 113 indexed citations

Mendoza, Ezequiel, et al.. (2014). Differential coexpression of FoxP1, FoxP2, and FoxP4 in the Zebra Finch (Taeniopygia guttata) song system. The Journal of Comparative Neurology. 523(9). 1318–1340. 31 indexed citations

Düring, Daniel N., Alexander Ziegler, Christopher K. Thompson, et al.. (2013). The songbird syrinx morphome: a three-dimensional, high-resolution, interactive morphological map of the zebra finch vocal organ. BMC Biology. 11(1). 1–1. 159 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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