Ock Jin Park

2.8k citations
40 papers · 2.3k indexed · h-index 23

Impact in

Papers in

Ock Jin Park

40 papers receiving 2.2k citations

Peers

Ock Jin Park
Comparison fields: 5 of 114
  • Biochemistry 375
  • Geriatrics and Gerontology 207
  • Applied Microbiology and Biotechnology 75
  • Molecular Medicine 142
  • Pathology and Forensic Medicine 431
Replace Vidya Hebbar with:
Vidya Hebbar United States
Jin‐Taek Hwang South Korea
Zheng‐Yuan Su United States
Kazumi Yagasaki Japan
Guoxiang Shen United States
Violetta Krajka‐Kuźniak Poland
Evangelia Tsiani Canada
Sujit Nair India
Huanbiao Mo United States
Nitin Telang United States
Ock Jin Park relative to Vidya Hebbar United States Vidya Hebbar's profile →
Citations per field
00.5×1.5×2.0×
Vidya Hebbar · 1×
Citations per year

Countries citing papers authored by Ock Jin Park

Since Specialization
Citations

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

Fields of papers citing papers by Ock Jin Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201423
2 201317
3
HT-29 대장암세포에서 Akt 활성 저해에 따른 셀레늄의 세포 증식억제 효과
20123
4 201173
5 201124
6 201073
7 201073
8 20096
9 200961
10 200950
11 20093
12
ossible Relationship between AMPK and Apoptosis in HT-29 Colon Cancer Cells Treated with CLA
20081
13 20079
14 200794
15 20078
16 200689
17 2005417
18 200410
19 2004158
20 200315

About Ock Jin Park

Ock Jin Park is a scholar working on Geriatrics and Gerontology, Biochemistry, Pathology and Forensic Medicine, Applied Microbiology and Biotechnology and Molecular Medicine, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (13 papers), Sirtuins and Resveratrol in Medicine (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Phytoestrogen effects and research (6 papers), Phytochemicals and Antioxidant Activities (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Cancer-related Molecular Pathways (4 papers) and Cancer Risks and Factors (3 papers). The work is most often cited by research in Biochemistry (375 citations), Geriatrics and Gerontology (207 citations), Applied Microbiology and Biotechnology (75 citations), Molecular Medicine (142 citations) and Pathology and Forensic Medicine (431 citations). Ock Jin Park has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Jin‐Taek Hwang, Joohun Ha, In Ja Park, Yunkyoung Lee, Young‐Joon Surh, Haing Woon Baik, Seong‐Kyu Lee, Young‐Min Kim, Jin-Taek Hwang and Dae Young Kwon. Their work appears in journals such as Annals of the New York Academy of Sciences, Cancer Letters, Biochemical and Biophysical Research Communications, Nutrition and Oncology Reports.

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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