K. Iwasa

3.6k citations
119 papers · 2.6k · h-index 28

Impact in

Papers in

K. Iwasa

114 papers receiving 2.5k citations

Peers

K. Iwasa
Comparison fields: 5 of 140
  • Sensory Systems 1.2k
  • Cognitive Neuroscience 865
  • Neurology 354
  • Developmental Biology 84
  • Cellular and Molecular Neuroscience 428
Replace Paul S. Guth with:
Paul S. Guth United States
Dennis G. Drescher United States
David T. Yue United States
Christoph Fahlke Germany
Duk‐Su Koh United States
Thanos Tzounopoulos United States
J. del Castillo Puerto Rico
Brian M. Salzberg United States
Juan A. Varela United States
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K. Iwasa relative to Paul S. Guth United States Paul S. Guth's profile →
Citations per field
00.5×10×12.7×
Paul S. Guth · 1×
Citations per year

Countries citing papers authored by K. Iwasa

Since Specialization
Citations

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

Fields of papers citing papers by K. Iwasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Iwasa, 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 K. Iwasa Line = papers co-authored together K. Iwasa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992195
2 1980161
3 1993148
4 1996146
5 1997109
6 199499
7 198088
8 198885
9 199270
10 198468
11 198268
12 200267
13 200152
14 199146
15 200545
16 199744
17 200340
18 199939
19 199039
20 198136

About K. Iwasa

K. Iwasa is a scholar working on Sensory Systems, Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 119 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (46 papers), Hearing Loss and Rehabilitation (26 papers), Vestibular and auditory disorders (15 papers), Acoustic Wave Phenomena Research (12 papers), Electrostatics and Colloid Interactions (11 papers), Ion channel regulation and function (11 papers), Neuroscience and Neural Engineering (8 papers) and Lipid Membrane Structure and Behavior (8 papers). The work is most often cited by research in Sensory Systems (1.2k citations), Cognitive Neuroscience (865 citations), Neurology (354 citations), Developmental Biology (84 citations) and Cellular and Molecular Neuroscience (428 citations). K. Iwasa has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Ichiji Tasaki, Masato Adachi, Bechara Kachar, Robert C. Gibbons, Gerald Ehrenstein, M. Kamigauchi, David Lim, Richard S. Chadwick, Mark Ospeck and Federico Kalinec. Their work appears in journals such as Biophysical Journal, The Journal of the Acoustical Society of America, The Journal of Physical Chemistry, Phytochemistry and Hearing 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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