Eun‐Ah Ye

400 citations
18 papers · 333 · h-index 10

Impact in

Papers in

Eun‐Ah Ye

17 papers receiving 328 citations

Peers

Eun‐Ah Ye
Comparison fields: 5 of 64
  • Developmental Neuroscience 30
  • Ophthalmology 49
  • Cancer Research 62
  • Neurology 27
  • Cellular and Molecular Neuroscience 61
Replace Christina Hecker with:
Christina Hecker Germany
Miguel Marchena Spain
Jian-Min Luo China
Peng Ding China
Heather M. Schmitt United States
África Sandonís Spain
Devon M. Chenette United States
Kirsty N. Turner Australia
N.A. Fayein France
Hannah C. Webber United States
Eun‐Ah Ye relative to Christina Hecker Germany Christina Hecker's profile →
Citations per field
00.5×2×3×3.7×
Christina Hecker · 1×
Citations per year

Countries citing papers authored by Eun‐Ah Ye

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Ah Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Ah Ye. 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 Eun‐Ah Ye. The network helps show where Eun‐Ah Ye may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201765
2 201650
3 202337
4 201729
5 200928
6 201226
7 200923
8 200618
9 201712
10 202310
11 20148
12 20078
13 20157
14 20225
15 20063
16 20132
17 20152
18 20260

About Eun‐Ah Ye

Eun‐Ah Ye is a scholar working on Neurology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 18 papers that have together received 333 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Retinal Development and Disorders (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Corneal Surgery and Treatments (3 papers), MicroRNA in disease regulation (3 papers), RNA Interference and Gene Delivery (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Developmental Neuroscience (30 citations), Ophthalmology (49 citations), Cancer Research (62 citations), Neurology (27 citations) and Cellular and Molecular Neuroscience (61 citations). Eun‐Ah Ye has collaborated with scholars based in United States and South Korea. Frequent co-authors include Jena J. Steinle, Donald S. Sakaguchi, Chang‐Jin Jeon, Li Liu, Matthew M. Harper, Susmit Suvas, Subhash Gaddipati, Youde Jiang, Li Liu and Tae‐Jin Kim. Their work appears in journals such as Vision Research, Journal of Visualized Experiments, Journal of Neuroinflammation, International Journal of Molecular Sciences and Veterinary 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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