Sung Jun Park

126 papers receiving 3.7k citations

Sung Jun Park's Hit Papers

Resveratrol Ameliorates Aging-Related Metabolic Phenotypes by Inhibiting cAMP Phosphodiesterases 2012 · 1.1k citations
1.1k0+4+9Years since publication2505007501000

Peers

Sung Jun Park
Comparison fields: 5 of 180
  • Geriatrics and Gerontology 589
  • Aging 78
  • Pharmacology 243
  • Physiology 119
  • Biochemistry 178
Replace Ying Zhao with:
Ying Zhao China
Masoud Najafi Iran
Feng Cao China
Jingwen Zhang China
Deyu Fang United States
Tao Shen China
Eunjung Lee South Korea
Byung‐Hyun Park South Korea
Xing Liu China
Mi‐Hye Lee South Korea
Sung Jun Park relative to Ying Zhao China Ying Zhao's profile →
Citations per field
00.5×1.7×
Ying Zhao · 1×
Citations per year

Countries citing papers authored by Sung Jun Park

Since Specialization
Citations

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

Fields of papers citing papers by Sung Jun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Jun 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 Sung Jun Park. The network helps show where Sung Jun Park may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Resveratrol Ameliorates Aging-Related Metabolic Phenotypes by Inhibiting cAMP Phosphodiesterases
Hit paper breakdown →
20121105
2 2004260
3 2002174
4 2019140
5 2006121
6 2018120
7 201999
8 201793
9 200184
10 200183
11 202181
12 200676
13 200871
14 200451
15 201241
16 200640
17 201137
18 202236
19 200334
20 201633

About Sung Jun Park

Sung Jun Park is a scholar working on Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 134 papers that have together received 3.8k indexed citations. Recurring topics across this work include Luminescence Properties of Advanced Materials (8 papers), Emergency and Acute Care Studies (6 papers), Carbon and Quantum Dots Applications (5 papers), Luminescence and Fluorescent Materials (5 papers), Cardiac Arrest and Resuscitation (5 papers), Urban Green Space and Health (4 papers), Trauma and Emergency Care Studies (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Geriatrics and Gerontology (589 citations), Aging (78 citations), Pharmacology (243 citations), Physiology (119 citations) and Biochemistry (178 citations). Sung Jun Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jay H. Chung, Myung K. Kim, Alexandra L. Brown, Hyun Kyoung Yang, Andrew Philp, Keith Baar, Hengming Ke, Faiyaz Ahmad, Vincent C. Manganiello and Alex B. Burgin. Their work appears in journals such as Optik, Scientific Reports, Nature Communications, Scandinavian Journal of Trauma Resuscitation and Emergency Medicine and Bioorganic & Medicinal Chemistry Letters.

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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