Daniel Šuta

717 citations
22 papers · 552 · h-index 13

Impact in

Papers in

    • Hearing Loss and Rehabilitation 11
    • Neuroscience and Music Perception 7
    • Neural dynamics and brain function 7
    • Hearing, Cochlea, Tinnitus, Genetics 13

Daniel Šuta

21 papers receiving 546 citations

Peers

Daniel Šuta
Comparison fields: 5 of 88
  • Sensory Systems 240
  • Developmental Biology 82
  • Cognitive Neuroscience 393
  • Speech and Hearing 52
  • Cellular and Molecular Neuroscience 82
Replace Eugen Kvašňák with:
Eugen Kvašňák Czechia
Natalie A. Hardie Australia
Maike Vollmer Germany
Cynthia A. Prosen United States
Lucy A. Anderson United Kingdom
Zbyněk Bureš Czechia
Natalia Rybalko Czechia
Carl H. Parsons United Kingdom
Ben H. Bonham United States
Michele N. Insanally United States
Daniel Šuta relative to Eugen Kvašňák Czechia Eugen Kvašňák's profile →
Citations per field
00.5×3.7×
Eugen Kvašňák · 1×
Citations per year

Countries citing papers authored by Daniel Šuta

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Šuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daniel Šuta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Šuta Line = papers co-authored together Daniel Šuta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200375
2 200769
3 200659
4 200556
5 201039
6 201139
7 200938
8 201437
9 200831
10 201524
11 200719
12 201514
13 201514
14 20139
15 20199
16 20006
17 20205
18 20215
19 20042
20 20181

About Daniel Šuta

Daniel Šuta is a scholar working on Cognitive Neuroscience, Sensory Systems, Developmental Biology, Speech and Hearing and Social Psychology, having authored 22 papers that have together received 552 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (13 papers), Hearing Loss and Rehabilitation (11 papers), Neuroscience and Music Perception (7 papers), Neural dynamics and brain function (7 papers), Animal Vocal Communication and Behavior (4 papers), Noise Effects and Management (3 papers), Infant Health and Development (2 papers) and Thermoregulation and physiological responses (2 papers). The work is most often cited by research in Sensory Systems (240 citations), Developmental Biology (82 citations), Cognitive Neuroscience (393 citations), Speech and Hearing (52 citations) and Cellular and Molecular Neuroscience (82 citations). Daniel Šuta has collaborated with scholars based in Czechia, Taiwan and Austria. Frequent co-authors include Josef Syka, Jiří Popelář, Natalia Rybalko, Eugen Kvašňák, Zbyněk Bureš, Jozef Rosina, Jiří Málek, Hana Kolářová, Tetyana Chumak and Jana Burianová. Their work appears in journals such as Hearing Research, Behavioural Brain Research, Physiological Research, European Journal of Neuroscience and Experimental Brain Research.

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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