Lena van Giesen

849 total citations
11 papers, 388 citations indexed

About

Lena van Giesen is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Lena van Giesen has authored 11 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 3 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Genetics. Recurrent topics in Lena van Giesen's work include Neurobiology and Insect Physiology Research (10 papers), Cephalopods and Marine Biology (3 papers) and Insect Utilization and Effects (3 papers). Lena van Giesen is often cited by papers focused on Neurobiology and Insect Physiology Research (10 papers), Cephalopods and Marine Biology (3 papers) and Insect Utilization and Effects (3 papers). Lena van Giesen collaborates with scholars based in United States, Switzerland and South Korea. Lena van Giesen's co-authors include Simon G. Sprecher, Nicholas W. Bellono, Corey AH Allard, Gonzalo Budelli, Paul Garrity, Elaine C. Chang, Manuela Moraru, Boris Egger, Andrea L. Smidler and Willem J. Laursen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Lena van Giesen

11 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lena van Giesen United States 11 255 98 94 72 70 11 388
Ayako Abe Japan 5 268 1.1× 69 0.7× 118 1.3× 47 0.7× 76 1.1× 7 301
Anggie J Ferrer United States 5 315 1.2× 85 0.9× 163 1.7× 35 0.5× 142 2.0× 5 355
Ananya Guntur United States 7 232 0.9× 68 0.7× 106 1.1× 42 0.6× 91 1.3× 10 310
Mustafa Talay United States 8 251 1.0× 64 0.7× 87 0.9× 57 0.8× 33 0.5× 12 333
Tamara Boto United States 13 307 1.2× 75 0.8× 142 1.5× 72 1.0× 95 1.4× 18 381
Willem J. Laursen United States 12 291 1.1× 83 0.8× 93 1.0× 154 2.1× 87 1.2× 15 556
Toshiharu Ichinose Japan 8 413 1.6× 129 1.3× 213 2.3× 56 0.8× 97 1.4× 12 442
Tuhin S. Chakraborty United States 9 252 1.0× 94 1.0× 133 1.4× 40 0.6× 123 1.8× 11 327
Carlotta Martelli Germany 9 357 1.4× 106 1.1× 157 1.7× 73 1.0× 161 2.3× 15 454
Martín Klappenbach Argentina 8 300 1.2× 146 1.5× 155 1.6× 26 0.4× 130 1.9× 14 367

Countries citing papers authored by Lena van Giesen

Since Specialization
Citations

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

Fields of papers citing papers by Lena van Giesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lena van Giesen. 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 Lena van Giesen. The network helps show where Lena van Giesen may publish in the future.

Co-authorship network of co-authors of Lena van Giesen

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

All Works

11 of 11 papers shown
1.
Allard, Corey AH, Wendy A. Valencia‐Montoya, Lena van Giesen, et al.. (2023). Sensory specializations drive octopus and squid behaviour. Nature. 616(7956). 378–383. 19 indexed citations
2.
Dupré, Christophe, et al.. (2020). A molecular filter for the cnidarian stinging response. eLife. 9. 19 indexed citations
3.
Greppi, Chloé, Willem J. Laursen, Gonzalo Budelli, et al.. (2020). Mosquito heat seeking is driven by an ancestral cooling receptor. Science. 367(6478). 681–684. 77 indexed citations
4.
Giesen, Lena van, et al.. (2020). Molecular Basis of Chemotactile Sensation in Octopus. Cell. 183(3). 594–604.e14. 50 indexed citations
5.
Budelli, Gonzalo, Lina Ni, Cristina Berciu, et al.. (2019). Ionotropic Receptors Specify the Morphogenesis of Phasic Sensors Controlling Rapid Thermal Preference in Drosophila. Neuron. 101(4). 738–747.e3. 72 indexed citations
6.
Giesen, Lena van, Luis Hernandez-Nunez, Martino Colombo, et al.. (2016). Multimodal stimulus coding by a gustatory sensory neuron in Drosophila larvae. Nature Communications. 7(1). 10687–10687. 30 indexed citations
7.
Giesen, Lena van, et al.. (2016). A microfluidics-based method for measuring neuronal activity in Drosophila chemosensory neurons. Nature Protocols. 11(12). 2389–2400. 20 indexed citations
8.
Giesen, Lena van, et al.. (2016). A Pair of Pharyngeal Gustatory Receptor Neurons Regulates Caffeine-Dependent Ingestion in Drosophila Larvae. Frontiers in Cellular Neuroscience. 10. 181–181. 26 indexed citations
9.
Sprecher, Simon G., Lena van Giesen, Volker Hartenstein, et al.. (2015). Functional brain regeneration in the acoel worm Symsagittifera roscoffensis. Biology Open. 4(12). 1688–1695. 15 indexed citations
10.
Pauls, Dennis, et al.. (2014). Potency of Transgenic Effectors for Neurogenetic Manipulation inDrosophilaLarvae. Genetics. 199(1). 25–37. 21 indexed citations
11.
Egger, Boris, Lena van Giesen, Manuela Moraru, & Simon G. Sprecher. (2013). In vitro imaging of primary neural cell culture from Drosophila. Nature Protocols. 8(5). 958–965. 39 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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