Thomas Frank

58 total papers · 2.5k total citations
26 papers, 1.6k citations indexed

About

Thomas Frank is a scholar working on Cognitive Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas Frank has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 12 papers in Sensory Systems and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas Frank's work include Hearing, Cochlea, Tinnitus, Genetics (9 papers), Hearing Loss and Rehabilitation (7 papers) and Neural dynamics and brain function (7 papers). Thomas Frank is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (9 papers), Hearing Loss and Rehabilitation (7 papers) and Neural dynamics and brain function (7 papers). Thomas Frank collaborates with scholars based in Germany, United States and Switzerland. Thomas Frank's co-authors include Tobias Moser, Darina Khimich, Andreas Neef, Dietmar Riedel, Nicola Strenzke, Tina Pangršič, Mark A. Rutherford, Stefan W. Hell, Alexander Egner and Benjamin Harke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Thomas Frank

25 papers receiving 1.6k citations

Hit Papers

An organic artificial spi... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Thomas Frank 876 530 515 438 293 26 1.6k
Andreas Neef 643 0.7× 620 1.2× 580 1.1× 613 1.4× 339 1.2× 45 1.9k
Jakob Neef 614 0.7× 304 0.6× 489 0.9× 498 1.1× 221 0.8× 31 1.4k
William F. Sewell 1.4k 1.6× 808 1.5× 534 1.0× 363 0.8× 134 0.5× 58 2.3k
Kazuaki Homma 423 0.5× 292 0.6× 828 1.6× 477 1.1× 435 1.5× 67 1.9k
Matthew C. Smear 573 0.7× 626 1.2× 431 0.8× 1.0k 2.3× 408 1.4× 17 1.9k
Conny Kopp‐Scheinpflug 970 1.1× 1.1k 2.1× 570 1.1× 948 2.2× 140 0.5× 45 2.1k
Gary T. Hradek 870 1.0× 711 1.3× 331 0.6× 317 0.7× 119 0.4× 29 1.8k
Giuliano Iurilli 294 0.3× 694 1.3× 167 0.3× 633 1.4× 104 0.4× 14 1.4k
Ruben Stepanyan 581 0.7× 124 0.2× 515 1.0× 127 0.3× 135 0.5× 28 1.3k
Sangyong Jung 395 0.5× 304 0.6× 1.3k 2.6× 604 1.4× 369 1.3× 69 2.3k

Countries citing papers authored by Thomas Frank

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Frank

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Frank. A scholar is included among the top collaborators of Thomas Frank 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 Thomas Frank. Thomas Frank 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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