Yen‐Hong Kao

752 citations
9 papers · 566 indexed · h-index 7

Yen‐Hong Kao

8 papers receiving 556 citations

Peers

Yen‐Hong Kao
Comparison fields: 5 of 54
  • Cellular and Molecular Neuroscience 285
  • Cognitive Neuroscience 217
  • Cell Biology 179
  • Developmental Neuroscience 37
  • Biophysics 22
Replace Chintan A. Trivedi with:
Chintan A. Trivedi United Kingdom
Clemens Riegler United States
Paride Antinucci United Kingdom
Davis Bennett United States
Kenneth C. Wikler United States
Lorenzo Cangiano Italy
Dominique Förster Germany
Michael L. Risner United States
Adrien Jouary France
Sebastián A. Romano France
Yen‐Hong Kao relative to Chintan A. Trivedi United Kingdom Chintan A. Trivedi's profile →
Citations per field
00.5×1.5×1.9×
Chintan A. Trivedi · 1×
Citations per year

Countries citing papers authored by Yen‐Hong Kao

Since Specialization
Citations

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

Fields of papers citing papers by Yen‐Hong Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yen‐Hong Kao. 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 Yen‐Hong Kao. The network helps show where Yen‐Hong Kao may publish in the future.

Co-authorship network

The 15 scholars most cited alongside Yen‐Hong Kao, 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 Yen‐Hong Kao Line = papers co-authored together Yen‐Hong Kao links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2010145
2 200619
3 200566
4 20051
5 200440
6 200328
7 200333
8 1996234
9 19870

About Yen‐Hong Kao

Yen‐Hong Kao is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biophysics, Molecular Biology and Cell Biology, having authored 9 papers that have together received 566 indexed citations. Recurring topics across this work include Retinal Development and Disorders (6 papers), Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuroscience and Neural Engineering (2 papers), Photoreceptor and optogenetics research (2 papers), Visual perception and processing mechanisms (2 papers), Zebrafish Biomedical Research Applications (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (285 citations), Cognitive Neuroscience (217 citations), Cell Biology (179 citations), Developmental Neuroscience (37 citations) and Biophysics (22 citations). Yen‐Hong Kao has collaborated with scholars based in United States and Belgium. Frequent co-authors include Joseph R. Fetcho, Donald M. O’Malley, Peter Sterling, Bart G. Borghuis, Vijay Balasubramanian, Charles P. Ratliff, Robert G. Smith, Narender K. Dhingra, Michael Albert and Andrew D. A. Maidment. Their work appears in journals such as Medical Physics, The Journal of Comparative Neurology, Journal of Neurocytology, Journal of Neurophysiology and Visual Neuroscience.

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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