Karl Kandler

80 total papers · 4.7k total citations
59 papers, 3.5k citations indexed

About

Karl Kandler is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Cognitive Neuroscience. According to data from OpenAlex, Karl Kandler has authored 59 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cellular and Molecular Neuroscience, 27 papers in Sensory Systems and 21 papers in Cognitive Neuroscience. Recurrent topics in Karl Kandler's work include Neuroscience and Neuropharmacology Research (33 papers), Hearing, Cochlea, Tinnitus, Genetics (27 papers) and Neural dynamics and brain function (14 papers). Karl Kandler is often cited by papers focused on Neuroscience and Neuropharmacology Research (33 papers), Hearing, Cochlea, Tinnitus, Genetics (27 papers) and Neural dynamics and brain function (14 papers). Karl Kandler collaborates with scholars based in United States, Germany and Japan. Karl Kandler's co-authors include Eckhard Friauf, Gunsoo Kim, Lawrence C Katz, Amanda Clause, Deda C. Gillespie, Jihyun Noh, Elias Aizenman, Paul H. M. Kullmann, Rebecca P. Seal and Robert H. Edwards and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Karl Kandler

58 papers receiving 3.5k citations

Author Peers

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

Author Last Decade Papers Cites
Karl Kandler 2.1k 1.4k 1.4k 1.1k 480 59 3.5k
Thanos Tzounopoulos 1.5k 0.7× 1.2k 0.9× 889 0.6× 1.1k 1.0× 537 1.1× 58 3.1k
Andreas T. Schaefer 2.3k 1.1× 1.2k 0.8× 1.6k 1.2× 333 0.3× 552 1.1× 71 3.3k
Lawrence B. Cohen 4.8k 2.3× 2.0k 1.4× 1.3k 1.0× 1.8k 1.6× 584 1.2× 101 6.8k
Ben W. Strowbridge 1.8k 0.9× 843 0.6× 1.2k 0.9× 456 0.4× 534 1.1× 47 2.5k
Dan H. Sanes 1.7k 0.8× 2.9k 2.1× 2.1k 1.6× 505 0.4× 311 0.6× 104 4.3k
Jeffry S. Isaacson 4.9k 2.4× 2.7k 1.9× 2.5k 1.8× 1.4k 1.2× 1.1k 2.2× 48 6.3k
F. Valverde 3.0k 1.5× 1.4k 1.0× 841 0.6× 1.1k 1.0× 364 0.8× 68 4.5k
Thomas N. Parks 1.6k 0.8× 851 0.6× 1.4k 1.0× 1.1k 0.9× 440 0.9× 60 3.5k
David N. Furness 819 0.4× 866 0.6× 2.4k 1.7× 1.6k 1.4× 363 0.8× 92 3.9k
Rebecca P. Seal 3.4k 1.7× 1.2k 0.8× 993 0.7× 2.5k 2.2× 205 0.4× 57 5.7k

Countries citing papers authored by Karl Kandler

Since Specialization
Citations

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

Fields of papers citing papers by Karl Kandler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Kandler

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Kandler. A scholar is included among the top collaborators of Karl Kandler 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 Karl Kandler. Karl Kandler 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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2026