Jin Young Kim
- Molecular Biology top 10%
- Immunology top 10%
- Endocrine and Autonomic Systems top 5%
- Cellular and Molecular Neuroscience top 10%
- Cancer Research
- Co-authors
- Sung‐Hoon KimCharles J. WeitzPatrizia CasacciaYe HePieter Bas KwakSiming ShenOwain W. HowellKaren Dietz
- Topics
- Circadian rhythm and melatonin (9 papers)RNA modifications and cancer (5 papers)Signaling Pathways in Disease (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Jin Young Kim
56 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 997
- Immunology 268
- Endocrine and Autonomic Systems 191
- Cellular and Molecular Neuroscience 170
- Cancer Research 155
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 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 0 | |
| 9 | 56 | |
| 10 | 9 | |
| 11 | 48 | |
| 12 | Prolyl isomerase PIN1 negatively regulates SGK1 stability to mediate tamoxifen resistance in breast cancer cells. | 10 |
| 13 | 38 | |
| 14 | 95 | |
| 15 | 66 | |
| 16 | 55 | |
| 17 | 38 | |
| 18 | Effectiveness of Intravenous Immunoglobulin Therapy in Women with Recurrent Spontaneous Abortions and Elevated Pre-conceptional Peripheral Blood CD56+ Natural Killer Cell Percentage. | 0 |
| 19 | Stringent Factor Regulates Antibiotics Production and Morphological Differentiation of Streptomyces clavuligerus | 4 |
| 20 | 51 |
About Jin Young Kim
Jin Young Kim is a scholar working on Aging, Endocrine and Autonomic Systems and Developmental Neuroscience, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (9 papers), RNA modifications and cancer (5 papers) and Signaling Pathways in Disease (5 papers). The work is most often cited by research in Aging (51 citations), Endocrine and Autonomic Systems (191 citations) and Developmental Neuroscience (110 citations). Jin Young Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Sung‐Hoon Kim, Charles J. Weitz, Patrizia Casaccia, Ye He, Pieter Bas Kwak, Siming Shen, Owain W. Howell, Karen Dietz, Richard Reynolds and Young‐Gyu Ko. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.