Claire Eschbach

1.3k total citations · 1 hit paper
11 papers, 640 citations indexed

About

Claire Eschbach is a scholar working on Cellular and Molecular Neuroscience, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Claire Eschbach has authored 11 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 7 papers in Genetics and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Claire Eschbach's work include Neurobiology and Insect Physiology Research (11 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Physiological and biochemical adaptations (5 papers). Claire Eschbach is often cited by papers focused on Neurobiology and Insect Physiology Research (11 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Physiological and biochemical adaptations (5 papers). Claire Eschbach collaborates with scholars based in Germany, United States and United Kingdom. Claire Eschbach's co-authors include Marta Zlatic, Bertram Gerber, James W. Truman, Albert Cardona, Katharina Eichler, Andreas S. Thum, Richard D. Fetter, Timo Saumweber, Casey M Schneider-Mizell and Ashok Litwin-Kumar and has published in prestigious journals such as Nature, Nature Communications and Nature Neuroscience.

In The Last Decade

Claire Eschbach

11 papers receiving 634 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The complete connectome of a learning and memory centre in an insect brain

2017 300 citations Katharina Eichler, Feng Li et al. Nature profile →

Peers

Claire Eschbach

CMN

GENET

EEBS

ECOLO

CN

Katharina Eichler United States

Oliver Barnstedt United Kingdom

Raphael Cohn United States

Alexander Shakeel Bates United States

Timo Saumweber Germany

Kevin Mann United States

Javier Valdés-Alemán United States

Divya Sitaraman United States

Toshihide Hige United States

Stephan Knapek Germany

Katharina Eichler United States

Claire Eschbach

495 ×1.0

CMN

227 ×0.9

GENET

133 ×0.8

EEBS

115 ×1.0

ECOLO

114 ×1.1

CN

Citations per year, relative to Claire Eschbach Claire Eschbach (= 1×) peers Katharina Eichler

Countries citing papers authored by Claire Eschbach

Since Specialization

Citations

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

Fields of papers citing papers by Claire Eschbach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire Eschbach

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

All Works

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11 of 11 papers shown

1.

Eschbach, Claire, Akira Fushiki, Michael Winding, et al.. (2020). Recurrent architecture for adaptive regulation of learning in the insect brain. Nature Neuroscience. 23(4). 544–555. 89 indexed citations

2.

Eschbach, Claire, Akira Fushiki, Michael Winding, et al.. (2020). Circuits for integrating learned and innate valences in the insect brain.. Apollo (University of Cambridge). 31 indexed citations

3.

Eschbach, Claire & Marta Zlatic. (2020). Useful road maps: studying Drosophila larva’s central nervous system with the help of connectomics. Current Opinion in Neurobiology. 65. 129–137. 28 indexed citations

4.

Saumweber, Timo, Astrid Rohwedder, Michael Schleyer, et al.. (2018). Functional architecture of reward learning in mushroom body extrinsic neurons of larval Drosophila. Nature Communications. 9(1). 1104–1104. 77 indexed citations

5.

Michels, Birgit, Timo Saumweber, Michael Schleyer, et al.. (2017). Pavlovian Conditioning of Larval Drosophila: An Illustrated, Multilingual, Hands-On Manual for Odor-Taste Associative Learning in Maggots. Frontiers in Behavioral Neuroscience. 11. 45–45. 21 indexed citations

6.

Eichler, Katharina, Feng Li, Ashok Litwin-Kumar, et al.. (2017). The complete connectome of a learning and memory centre in an insect brain. Nature. 548(7666). 175–182. 300 indexed citations breakdown →

7.

Eschbach, Claire, et al.. (2011). Associative learning between odorants and mechanosensory punishment in larval Drosophila. Journal of Experimental Biology. 214(23). 3897–3905. 20 indexed citations

8.

Niewalda, Thomas, et al.. (2011). A Combined Perceptual, Physico-Chemical, and Imaging Approach to ‘Odour-Distances’ Suggests a Categorizing Function of the Drosophila Antennal Lobe. PLoS ONE. 6(9). e24300–e24300. 23 indexed citations

9.

Eschbach, Claire, Katrin Vogt, Michael Schmuker, & Bertram Gerber. (2011). The Similarity between Odors and Their Binary Mixtures in Drosophila. Chemical Senses. 36(7). 613–621. 9 indexed citations

10.

Eschbach, Claire. (2011). Classical and operant learning in the larvae of Drosophila melanogaster. Online Publication Service of Würzburg University (Würzburg University). 1 indexed citations

11.

Josens, Roxana, Claire Eschbach, & Martín Giurfa. (2009). Differential conditioning and long-term olfactory memory in individual Camponotus fellah ants. Journal of Experimental Biology. 212(12). 1904–1911. 41 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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