Young Jin

496 citations
13 papers · 388 · h-index 9

Impact in

Papers in

    • RNA Interference and Gene Delivery 4
    • CRISPR and Genetic Engineering 3
    • Cell death mechanisms and regulation 2
    • Advanced biosensing and bioanalysis techniques 1
    • Adipokines, Inflammation, and Metabolic Diseases 2
    • Autophagy in Disease and Therapy 2

Young Jin

12 papers receiving 381 citations

Peers

Young Jin
Comparison fields: 5 of 71
  • Aging 30
  • Business and International Management 18
  • Molecular Biology 300
  • Genetics 89
  • Cell Biology 35
Replace Diego Marín with:
Diego Marín United States
Robert Sharp United States
Alejandro Méndez‐Mancilla United States
Nada Kubikova United Kingdom
Hongzi Du China
David Cano-Rodríguez Netherlands
Bhavini Rana United States
Changchang Xin China
Guocheng Lan China
Qiaoyan Shen China
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Citations per field
00.5×10×20×30×39×
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Citations per year

Countries citing papers authored by Young Jin

Since Specialization
Citations

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

Fields of papers citing papers by Young Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013235
2 202031
3 201422
4 202421
5 202117
6 201316
7 201814
8 202012
9 202012
10 20204
11 20202
12 20192
13 20250

About Young Jin

Young Jin is a scholar working on Molecular Biology, Epidemiology, Physiology, Public Health, Environmental and Occupational Health and Cell Biology, having authored 13 papers that have together received 388 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), CRISPR and Genetic Engineering (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cell death mechanisms and regulation (2 papers), Physical Activity and Health (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Autophagy in Disease and Therapy (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Aging (30 citations), Business and International Management (18 citations), Molecular Biology (300 citations), Genetics (89 citations) and Cell Biology (35 citations). Young Jin has collaborated with scholars based in South Korea and Belgium. Frequent co-authors include Han‐Woong Lee, Young Hoon Sung, Jaehoon Lee, Sang‐Jun Ha, Cheol‐Hee Kim, Jong Min Kim, Jung-Hwa Choi, Hyun-Taek Kim, Young Ho Ban and Jin‐Soo Kim. Their work appears in journals such as Scientific Reports, International Journal of Environmental Research and Public Health, Methods, Diabetes and Nature Communications.

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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