Jin Young Kim
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications 40
- Mass Spectrometry Techniques and Applications 24
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 27
- Metabolomics and Mass Spectrometry Studies 18
- Ubiquitin and proteasome pathways 11
- Machine Learning in Bioinformatics 8
- Molecular Medicine top 5%
- Cell Biology top 5%
- Immunology top 10%
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- Peptidase Inhibition and Analysis 10
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- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- Jong Shin YooEun Sun JiHo Jeong KwonSeung Il KimKyung‐Hoon KwonGun Wook ParkJu Yeon LeeKun Cho
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (3 papers)Nature Medicine (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jin Young Kim
177 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Spectroscopy 661
- Molecular Biology 2.4k
- Molecular Medicine 82
- Cell Biology 254
- Immunology 327
Countries citing papers authored by Jin Young Kim
This map shows the geographic impact of Jin Young Kim'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 Jin Young Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Young Kim more than expected).
Fields of papers citing papers by Jin Young Kim
This network shows the impact of papers produced by Jin Young Kim. 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 Jin Young Kim. The network helps show where Jin Young Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Young Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 7 | |
| 12 | Activation of mitochondrial TUFM ameliorates metabolic dysregulation through coordinating autophagy inductionbreakdown → | 2021 | 182 |
| 13 | 2020 | 14 | |
| 14 | 2020 | 15 | |
| 15 | 2019 | 30 | |
| 16 | 2019 | 15 | |
| 17 | 2017 | 45 | |
| 18 | 2010 | 40 | |
| 19 | 2007 | 76 | |
| 20 | Successful Preimplantation Genetic Diagnosis for Ornithine Transcarbamylase Deficiency, Junctional Epidermolysis Bullosa and Lactic Acidosis Using Duplex Nested PCR: Delivery of Healthy Baby by Specific Preimplantation Genetic Diagnosis for Ornithine Tran | 2004 | 3 |
About Jin Young Kim
Jin Young Kim is a scholar working on Spectroscopy, Molecular Biology and Oncology, having authored 185 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (40 papers), Glycosylation and Glycoproteins Research (27 papers), Mass Spectrometry Techniques and Applications (24 papers), Metabolomics and Mass Spectrometry Studies (18 papers), Ubiquitin and proteasome pathways (11 papers), Peptidase Inhibition and Analysis (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Machine Learning in Bioinformatics (8 papers). The work is most often cited by research in Spectroscopy (661 citations), Molecular Biology (2.4k citations) and Molecular Medicine (82 citations). Jin Young Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jong Shin Yoo, Eun Sun Ji, Ho Jeong Kwon, Seung Il Kim, Kyung‐Hoon Kwon, Gun Wook Park, Ju Yeon Lee, Kun Cho, Young Mok Park and Yeong Hee Ahn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.