Kevin Eade

1.0k citations
19 papers · 670 · h-index 11

Impact in

Papers in

Kevin Eade

18 papers receiving 660 citations

Peers

Kevin Eade
Comparison fields: 5 of 67
  • Developmental Neuroscience 54
  • Ophthalmology 101
  • Cellular and Molecular Neuroscience 161
  • Aging 14
  • Molecular Biology 437
Replace Daniëlle G.M. Bosch with:
Daniëlle G.M. Bosch Netherlands
Hiroki Fujieda Japan
Keun-Young Kim United States
Daniel J. Hiler United States
Xiuyin Teng United States
Anke H. W. Essing Netherlands
Dennis W. Rickman United States
Christina S. Winborn United States
Bart Nieuwenhuis United Kingdom
Stephen Lumayag United States
Kevin Eade relative to Daniëlle G.M. Bosch Netherlands Daniëlle G.M. Bosch's profile →
Citations per field
00.5×2×2.5×
Daniëlle G.M. Bosch · 1×
Citations per year

Countries citing papers authored by Kevin Eade

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Eade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2019175
2 2014142
3 201883
4 202251
5 202142
6 201532
7 200927
8 201227
9 202325
10 202320
11 202217
12 202111
13 20238
14 20254
15 20242
16 20212
17
Implications for iPS-based disease modeling: significant variability is observed in RPE cells differentiated from identical sources
20161
18
Rare variants in the phosphoglycerate dehydrogenase (PHGDH) gene in MacTel patients lead to decreased enzymatic activity
20181
19 20250

About Kevin Eade

Kevin Eade is a scholar working on Ophthalmology, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Cell Biology, having authored 19 papers that have together received 670 indexed citations. Recurring topics across this work include Retinal Development and Disorders (8 papers), Retinal Diseases and Treatments (5 papers), Pluripotent Stem Cells Research (3 papers), Neuroscience and Neural Engineering (2 papers), Neurobiology and Insect Physiology Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Cellular transport and secretion (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Developmental Neuroscience (54 citations), Ophthalmology (101 citations), Cellular and Molecular Neuroscience (161 citations), Aging (14 citations) and Molecular Biology (437 citations). Kevin Eade has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Kristin K. Baldwin, Joel Blanchard, Pietro Paolo Sanna, Douglas W. Allan, Attila László Szűcs, Daniel M. Williams, Valentina Lo Sardo, Martin Friedlander, Sarah Giles and Sarah R. Harkins-Perry. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Journal of Visualized Experiments, Glia, Nature Metabolism and Angiogenesis.

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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