Jin Young Kim
- Molecular Biology top 5%
- Spectroscopy top 1%
- Oncology top 10%
- Immunology top 10%
- Genetics top 10%
- Co-authors
- Jong Shin YooEun Sun JiHo Jeong KwonSeung Il KimKyung‐Hoon KwonGun Wook ParkJu Yeon LeeKun Cho
- Topics
- Advanced Proteomics Techniques and Applications (40 papers)Glycosylation and Glycoproteins Research (27 papers)Mass Spectrometry Techniques and Applications (24 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Medicine
- 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
- Molecular Biology 2.4k
- Spectroscopy 661
- Oncology 330
- Immunology 327
- Genetics 269
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 of co-authors of Jin Young Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Young Kim. A scholar is included among the top collaborators of Jin Young Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Young Kim. Jin Young Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | Activation of mitochondrial TUFM ameliorates metabolic dysregulation through coordinating autophagy inductionbreakdown → | 182 |
| 13 | 14 | |
| 14 | 15 | |
| 15 | 30 | |
| 16 | 15 | |
| 17 | 45 | |
| 18 | 40 | |
| 19 | 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 | 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) and Mass Spectrometry Techniques and Applications (24 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.