Jungyeon Won

926 citations
33 papers · 725 · h-index 16

Impact in

    • Retinal Diseases and Treatments
  • Genetics top 10%
    • Genetic and Kidney Cyst Diseases
    • Ocular Disorders and Treatments

Papers in

    • Retinal Development and Disorders 13
    • Ubiquitin and proteasome pathways 3
    • Cell death mechanisms and regulation 2
    • 14-3-3 protein interactions 2
    • Genetic and Kidney Cyst Diseases 4

Jungyeon Won

32 papers receiving 709 citations

Peers

Jungyeon Won
Comparison fields: 5 of 91
  • Ophthalmology 117
  • Genetics 225
  • Molecular Biology 510
  • Cell Biology 113
  • Cellular and Molecular Neuroscience 69
Replace Sajag Bhattarai with:
Sajag Bhattarai United States
Kai Yao China
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Maria Frasson Brazil
Mai M. Abd El-Aziz Egypt
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Jungyeon Won relative to Sajag Bhattarai United States Sajag Bhattarai's profile →
Citations per field
00.5×2.7×
Sajag Bhattarai · 1×
Citations per year

Countries citing papers authored by Jungyeon Won

Since Specialization
Citations

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

Fields of papers citing papers by Jungyeon Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201181
2 200370
3 201069
4 201066
5 200960
6 200843
7 201043
8 201037
9 200430
10 201229
11 200027
12 201423
13 200416
14 201716
15 202416
16 202316
17 200612
18 202011
19 201111
20 200811

About Jungyeon Won

Jungyeon Won is a scholar working on Molecular Biology, Genetics, Cell Biology, Plant Science and Electrical and Electronic Engineering, having authored 33 papers that have together received 725 indexed citations. Recurring topics across this work include Retinal Development and Disorders (13 papers), Plant Physiology and Cultivation Studies (4 papers), Genetic and Kidney Cyst Diseases (4 papers), Ubiquitin and proteasome pathways (3 papers), Retinal Diseases and Treatments (3 papers), Cell death mechanisms and regulation (2 papers), 14-3-3 protein interactions (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Ophthalmology (117 citations), Genetics (225 citations), Molecular Biology (510 citations), Cell Biology (113 citations) and Cellular and Molecular Neuroscience (69 citations). Jungyeon Won has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Patsy M. Nishina, Jürgen Κ. Naggert, Wanda L. Hicks, Richard S. Smith, Cheol O. Joe, Tiansen Li, Doyeun Kim, Gary G. Meadows, Doo Yeon Kim and Malia M. Edwards. Their work appears in journals such as Journal of Biological Chemistry, Human Molecular Genetics, Biochemical and Biophysical Research Communications, Advanced Materials 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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