Jae‐Young Um

9.0k citations
263 papers · 7.5k indexed · 1 hit paper · h-index 45

Jae‐Young Um

252 papers receiving 7.4k citations

Hit Papers

The Role of Resveratrol in Cancer Therapy6032017202620202023200400600

Peers

Jae‐Young Um
Comparison fields: 5 of 138
  • Complementary and alternative medicine 867
  • Geriatrics and Gerontology 407
  • Pharmacology 842
  • Toxicology 321
  • Biochemistry 495
Replace Eun‐Jung Park with:
Eun‐Jung Park South Korea
Taeg Kyu Kwon South Korea
Won Keun Oh South Korea
Elke H. Heiß Austria
Joohun Ha South Korea
Kyung‐Soo Chun South Korea
Frank Arfuso Australia
Yasunari Takada United States
Hyun‐Ock Pae South Korea
Tae Youl Ha South Korea
Jae‐Young Um relative to Eun‐Jung Park South Korea Eun‐Jung Park's profile →
Citations per field
00.5×1.5×1.8×
Eun‐Jung Park · 1×
Citations per year

Countries citing papers authored by Jae‐Young Um

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Young Um

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Young Um. 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 Jae‐Young Um. The network helps show where Jae‐Young Um may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20253
4 20250
5 20247
6 20242
7 20244
8 20243
9 20235
10
The Role of Resveratrol in Cancer Therapybreakdown →
2017603
11 201682
12 201315
13 20133
14 20128
15 2011128
16 201118
17
Synergistic Effects of KH-red Ginseng/chlorella on the Endurance Capacity and Immune Enhancing in Forced Swimming Tested Mice
20094
18
Effect of Chlorella vulgaris on Immune-enhancement and Cytokine Production in vivo and in vitro
200824
19 20051
20 20045

About Jae‐Young Um

Jae‐Young Um is a scholar working on Toxicology, Pharmacology and Geriatrics and Gerontology, having authored 263 papers that have together received 7.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (35 papers), Adipose Tissue and Metabolism (33 papers), Bioactive Compounds and Antitumor Agents (24 papers), Natural product bioactivities and synthesis (22 papers), Cytokine Signaling Pathways and Interactions (21 papers), Pharmacological Effects of Natural Compounds (19 papers), Mast cells and histamine (19 papers) and Ginseng Biological Effects and Applications (18 papers). The work is most often cited by research in Complementary and alternative medicine (867 citations), Geriatrics and Gerontology (407 citations) and Pharmacology (842 citations). Jae‐Young Um has collaborated with scholars based in South Korea, Singapore and United States. Frequent co-authors include Kwang Seok Ahn, Seung‐Heon Hong, Gautam Sethi, Jeong‐Hyeon Ko, Seok‐Geun Lee, Woong Mo Yang, Hyun‐Ja Jeong, Jinbong Park, Alan Prem Kumar and Hyung‐Min Kim. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

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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