Claire Eschbach

19 total papers · 1.3k total citations
11 papers, 637 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 637 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, Albert Cardona, Katharina Eichler, James W. Truman, Andreas S. Thum, Richard D. Fetter, Timo Saumweber, Ashok Litwin-Kumar and Casey M Schneider-Mizell and has published in prestigious journals such as Nature, Nature Communications and Nature Neuroscience.

In The Last Decade

Claire Eschbach

11 papers receiving 631 citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Claire Eschbach 511 245 158 113 101 11 637
Katharina Eichler 491 1.0× 225 0.9× 131 0.8× 114 1.0× 112 1.1× 14 621
Oliver Barnstedt 460 0.9× 178 0.7× 125 0.8× 91 0.8× 117 1.2× 10 577
Alexander Shakeel Bates 523 1.0× 256 1.0× 169 1.1× 67 0.6× 78 0.8× 14 608
Timo Saumweber 658 1.3× 296 1.2× 200 1.3× 147 1.3× 88 0.9× 14 770
Raphael Cohn 543 1.1× 258 1.1× 174 1.1× 91 0.8× 63 0.6× 6 634
Kevin Mann 608 1.2× 214 0.9× 185 1.2× 99 0.9× 71 0.7× 14 754
Javier Valdés-Alemán 518 1.0× 201 0.8× 127 0.8× 106 0.9× 148 1.5× 8 708
Stephan Knapek 546 1.1× 252 1.0× 185 1.2× 70 0.6× 41 0.4× 12 611
Toshihide Hige 594 1.2× 266 1.1× 170 1.1× 77 0.7× 68 0.7× 14 683
Luis Hernandez-Nunez 373 0.7× 197 0.8× 117 0.7× 101 0.9× 71 0.7× 10 569

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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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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