D. Yanai

14 papers receiving 600 citations

Peers

D. Yanai
Comparison fields: 5 of 33
  • Cellular and Molecular Neuroscience 581
  • Cognitive Neuroscience 237
  • Electrical and Electronic Engineering 373
  • Ophthalmology 23
  • Molecular Biology 143
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Motoki Ozawa Japan
Johannes Koch Germany
Duke V Piyathaisere United States
Steffen Kibbel Germany
B.V. Mech United States
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E. Filley United States
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Xin Lei China
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Countries citing papers authored by D. Yanai

Since Specialization
Citations

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

Fields of papers citing papers by D. Yanai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside D. Yanai, 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 D. Yanai Line = papers co-authored together D. Yanai links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2007179
2 2008154
3 2005145
4 200343
5
The value of preoperative tests in the selection of blind patients for a permanent microelectronic implant.
200331
6 200514
7
Assessment of Retinal Nerve Fiber Layer Thickness by Use of Optical Coherence Tomography and Retinal Dichroïsm Measurement: Preliminary Study
200313
8 200412
9 200711
10 20046
11
Visual Perception in Blind Subjects with Microelectronic Retinal Prosthesis
20033
12
Electrical Stimulus Parameters for Visual Perception in Blind Humans with Retinal Prosthetic Implants
20032
13
Correlation of electrical detection thresholds with electrode impedance in a retinal prosthetic implant
20042
14
Intraocular Retinal Prosthesis: First Generation Implant and its Surgical Technique
20031

About D. Yanai

D. Yanai is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 14 papers that have together received 616 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), EEG and Brain-Computer Interfaces (9 papers), Advanced Memory and Neural Computing (9 papers), Retinal and Macular Surgery (3 papers), Retinal Development and Disorders (2 papers), Glaucoma and retinal disorders (1 paper), Intraocular Surgery and Lenses (1 paper) and Retinal and Optic Conditions (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (581 citations), Cognitive Neuroscience (237 citations), Electrical and Electronic Engineering (373 citations), Ophthalmology (23 citations) and Molecular Biology (143 citations). D. Yanai has collaborated with scholars based in United States and Brazil. Frequent co-authors include Mark S. Humayun, James D. Weiland, Manjunatha Mahadevappa, Ione Fine, Robert J. Greenberg, Gildo Y Fujii, Arup Roy, R. Freda, Matthew J. McMahon and Alan Horsager. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Retina, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Current Opinion in Ophthalmology and American Journal of Ophthalmology.

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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