Sun-Ji Park

23 papers receiving 894 citations

Sun-Ji Park's Hit Papers

Diabetic Retinopathy (DR): Mechanisms, Current Therapies, and Emerging Strategies 2025 · 28 citations
280+1+2Years since publication50100150

Peers

Sun-Ji Park
Comparison fields: 5 of 90
  • Cell Biology 203
  • Reproductive Medicine 85
  • Aging 17
  • Nephrology 46
  • Molecular Biology 378
Replace Paola Mirra with:
Paola Mirra Italy
Allyson L. Mayer United States
Yanyan Yang China
Yuxin Feng China
Edward Arvisais United States
Jiongdong Pang United States
Cecilia Poderoso Argentina
Mu Yang China
Amrita Kamat United States
Aldons J. Lusis United States
Sun-Ji Park relative to Paola Mirra Italy Paola Mirra's profile →
Citations per field
00.5×5.8×
Paola Mirra · 1×
Citations per year

Countries citing papers authored by Sun-Ji Park

Since Specialization
Citations

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

Fields of papers citing papers by Sun-Ji Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun-Ji Park. 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 Sun-Ji Park. The network helps show where Sun-Ji Park may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TXNIP: A key protein in the cellular stress response pathway and a potential therapeutic target
Hit paper breakdown →
2023178
2 201270
3 201362
4 202450
5 201950
6 201548
7 202243
8 201842
9 201437
10 202037
11 202035
12 201734
13 202332
14
Diabetic Retinopathy (DR): Mechanisms, Current Therapies, and Emerging Strategies
Hit paper breakdown →
202528
15 201328
16 201825
17 201621
18 201521
19 201618
20 201815

About Sun-Ji Park

Sun-Ji Park is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Immunology and Physiology, having authored 24 papers that have together received 896 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (11 papers), Redox biology and oxidative stress (5 papers), Autophagy in Disease and Therapy (4 papers), Heat shock proteins research (3 papers), Biomedical Research and Pathophysiology (2 papers), Renal Diseases and Glomerulopathies (2 papers), Genetic and Kidney Cyst Diseases (2 papers) and Phagocytosis and Immune Regulation (2 papers). The work is most often cited by research in Cell Biology (203 citations), Reproductive Medicine (85 citations), Aging (17 citations), Nephrology (46 citations) and Molecular Biology (378 citations). Sun-Ji Park has collaborated with scholars based in South Korea, United States and Finland. Frequent co-authors include Eui-Hwan Choi, Dong‐Seok Lee, Ying Maggie Chen, Yeawon Kim, Jin‐Man Kim, Jung‐Hak Kim, Tae‐Shin Kim, Chuang Li, Mi-Hye Kim and Choon‐Keun Park. Their work appears in journals such as Biochemical and Biophysical Research Communications, Free Radical Biology and Medicine, Proceedings of the National Academy of Sciences, Molecular Therapy — Nucleic Acids and Life Sciences.

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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