Jan Clemens

1.3k total citations
28 papers, 629 citations indexed

About

Jan Clemens is a scholar working on Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Jan Clemens has authored 28 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ecology, Evolution, Behavior and Systematics, 17 papers in Cellular and Molecular Neuroscience and 12 papers in Genetics. Recurrent topics in Jan Clemens's work include Animal Behavior and Reproduction (26 papers), Neurobiology and Insect Physiology Research (17 papers) and Insect and Arachnid Ecology and Behavior (12 papers). Jan Clemens is often cited by papers focused on Animal Behavior and Reproduction (26 papers), Neurobiology and Insect Physiology Research (17 papers) and Insect and Arachnid Ecology and Behavior (12 papers). Jan Clemens collaborates with scholars based in Germany, United States and Austria. Jan Clemens's co-authors include Mala Murthy, Philip Coen, Bernhard Ronacher, R. Matthias Hennig, Diego A. Pacheco, Sandra Wohlgemuth, Yi Deng, Susanne Schreiber, Klaus‐Gerhard Heller and Christa A. Baker and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jan Clemens

26 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Clemens Germany 16 437 328 241 134 85 28 629
Sandra Wohlgemuth Germany 14 279 0.6× 217 0.7× 188 0.8× 88 0.7× 107 1.3× 16 487
Cody A. Freas Australia 18 545 1.2× 305 0.9× 346 1.4× 114 0.9× 96 1.1× 39 785
Timothy L. Warren United States 11 324 0.7× 217 0.7× 95 0.4× 246 1.8× 100 1.2× 14 568
Paul S. Shamble United States 10 304 0.7× 142 0.4× 206 0.9× 47 0.4× 50 0.6× 16 462
Fiona R. Cross New Zealand 17 463 1.1× 232 0.7× 289 1.2× 38 0.3× 45 0.5× 38 651
Vivek Nityananda United Kingdom 17 372 0.9× 157 0.5× 144 0.6× 154 1.1× 162 1.9× 34 647
Barrett A. Klein United States 11 373 0.9× 77 0.2× 185 0.8× 166 1.2× 55 0.6× 25 557
Thomas G. Nolen United States 8 268 0.6× 198 0.6× 123 0.5× 66 0.5× 80 0.9× 8 470
M. Jerome Beetz Germany 14 241 0.6× 189 0.6× 72 0.3× 149 1.1× 122 1.4× 27 415
Ron Hoy United States 11 286 0.7× 140 0.4× 197 0.8× 60 0.4× 36 0.4× 13 499

Countries citing papers authored by Jan Clemens

Since Specialization
Citations

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

Fields of papers citing papers by Jan Clemens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Clemens

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Clemens. A scholar is included among the top collaborators of Jan Clemens 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 Jan Clemens. Jan Clemens 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.
Clemens, Jan, et al.. (2025). The Origins of Lithium Enhancement in Polluted White Dwarfs. The Astrophysical Journal. 979(2). 111–111. 1 indexed citations
2.
Schultze, B., et al.. (2025). A neural circuit for context-dependent multimodal signaling in Drosophila. Nature Communications. 16(1). 9472–9472.
3.
Hennig, R. Matthias, et al.. (2024). Resonant song recognition and the evolution of acoustic communication in crickets. iScience. 28(2). 111695–111695.
4.
Clemens, Jan, et al.. (2023). Flexible control of vocal timing in Carollia perspicillata bats enables escape from acoustic interference. Communications Biology. 6(1). 1153–1153. 5 indexed citations
5.
Clemens, Jan, et al.. (2021). Fast and accurate annotation of acoustic signals with deep neural networks. eLife. 10. 38 indexed citations
6.
Clemens, Jan, Bernhard Ronacher, & Michael S. Reichert. (2021). Sex-specific speed–accuracy trade-offs shape neural processing of acoustic signals in a grasshopper. Proceedings of the Royal Society B Biological Sciences. 288(1945). 20210005–20210005. 2 indexed citations
7.
Deutsch, David, et al.. (2019). Shared Song Detector Neurons in Drosophila Male and Female Brains Drive Sex-Specific Behaviors. Current Biology. 29(19). 3200–3215.e5. 38 indexed citations
8.
Clemens, Jan, Nofar Ozeri-Engelhard, & Mala Murthy. (2018). Fast intensity adaptation enhances the encoding of sound in Drosophila. Nature Communications. 9(1). 134–134. 22 indexed citations
9.
Stern, David L., Jan Clemens, Philip Coen, et al.. (2017). Experimental and statistical reevaluation provides no evidence for Drosophila courtship song rhythms. Proceedings of the National Academy of Sciences. 114(37). 9978–9983. 10 indexed citations
10.
Coen, Philip, et al.. (2016). Sensorimotor Transformations Underlying Variability in Song Intensity during Drosophila Courtship. Neuron. 89(3). 629–644. 63 indexed citations
11.
Clemens, Jan, et al.. (2015). Firing-rate resonances in the peripheral auditory system of the cricket, Gryllus bimaculatus. Journal of Comparative Physiology A. 201(11). 1075–1090. 15 indexed citations
12.
Clemens, Jan, et al.. (2015). Connecting Neural Codes with Behavior in the Auditory System of Drosophila. Neuron. 87(6). 1332–1343. 46 indexed citations
13.
Ronacher, Bernhard, R. Matthias Hennig, & Jan Clemens. (2014). Computational principles underlying recognition of acoustic signals in grasshoppers and crickets. Journal of Comparative Physiology A. 201(1). 61–71. 19 indexed citations
14.
Hennig, R. Matthias, Klaus‐Gerhard Heller, & Jan Clemens. (2014). Time and timing in the acoustic recognition system of crickets. Frontiers in Physiology. 5. 286–286. 34 indexed citations
15.
Coen, Philip, et al.. (2014). Dynamic sensory cues shape song structure in Drosophila. Nature. 507(7491). 233–237. 95 indexed citations
16.
Clemens, Jan & Bernhard Ronacher. (2013). Feature Extraction and Integration Underlying Perceptual Decision Making during Courtship Behavior. Journal of Neuroscience. 33(29). 12136–12145. 13 indexed citations
17.
Clemens, Jan & R. Matthias Hennig. (2013). Computational principles underlying the recognition of acoustic signals in insects. Journal of Computational Neuroscience. 35(1). 75–85. 25 indexed citations
18.
Clemens, Jan, Sandra Wohlgemuth, & Bernhard Ronacher. (2012). Nonlinear Computations Underlying Temporal and Population Sparseness in the Auditory System of the Grasshopper. Journal of Neuroscience. 32(29). 10053–10062. 24 indexed citations
19.
Clemens, Jan, et al.. (2011). Efficient transformation of an auditory population code in a small sensory system. Proceedings of the National Academy of Sciences. 108(33). 13812–13817. 36 indexed citations
20.
Clemens, Jan, et al.. (2010). Intensity invariance properties of auditory neurons compared to the statistics of relevant natural signals in grasshoppers. Journal of Comparative Physiology A. 196(4). 285–297. 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sandra Wohlgemuth Breakdown of academic impact, for papers by Cody A. Freas Breakdown of academic impact, for papers by Timothy L. Warren Breakdown of academic impact, for papers by Paul S. Shamble Breakdown of academic impact, for papers by Fiona R. Cross Breakdown of academic impact, for papers by Vivek Nityananda Breakdown of academic impact, for papers by Barrett A. Klein Breakdown of academic impact, for papers by Thomas G. Nolen Breakdown of academic impact, for papers by M. Jerome Beetz Breakdown of academic impact, for papers by Ron Hoy
Rankless by CCL
2026