Yong Kim
- Molecular Biology top 2%
- Oncology top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Cancer Research top 2%
- Co-authors
- Paul GreengardAngus C. NairnSung Ho RyuJ. BérilleSusan CoughlinNathan LevitanRonald L. BurkesJanet Dancey
- Topics
- Neuroscience and Neuropharmacology Research (20 papers)Protein Kinase Regulation and GTPase Signaling (17 papers)Cellular transport and secretion (10 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Yong Kim
131 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Molecular Biology 3.5k
- Oncology 2.7k
- Pulmonary and Respiratory Medicine 2.6k
- Cellular and Molecular Neuroscience 1.2k
- Cancer Research 951
Countries citing papers authored by Yong Kim
This map shows the geographic impact of Yong 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 Yong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Kim more than expected).
Fields of papers citing papers by Yong Kim
This network shows the impact of papers produced by Yong 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 Yong Kim. The network helps show where Yong Kim may publish in the future.
Co-authorship network of co-authors of Yong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Yong Kim. A scholar is included among the top collaborators of Yong 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 Yong Kim. Yong 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 | 4 | |
| 2 | 28 | |
| 3 | 43 | |
| 4 | 0 | |
| 5 | 36 | |
| 6 | 85 | |
| 7 | 7 | |
| 8 | 23 | |
| 9 | A Study on a Model for Using and Preserving Scientific Data | 3 |
| 10 | 28 | |
| 11 | 93 | |
| 12 | 289 | |
| 13 | An ASIC Implementation for Blind Separation of Speech Signals | 3 |
| 14 | Cytotoxic activity of Vietnamese herbal medicines against A549 cells | 1 |
| 15 | Carbachol-induced Phosphorylation of Phospholipase D1 through Protein Kinase C is required for the Activation in COS-7 cells | 2 |
| 16 | Prospective Randomized Trial of Docetaxel Versus Best Supportive Care in Patients With Non–Small-Cell Lung Cancer Previously Treated With Platinum-Based Chemotherapybreakdown → | 1717 |
| 17 | 37 | |
| 18 | 75 | |
| 19 | 81 | |
| 20 | 23 |
About Yong Kim
Yong Kim is a scholar working on Toxicology, Cellular and Molecular Neuroscience and Cell Biology, having authored 140 papers that have together received 8.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Protein Kinase Regulation and GTPase Signaling (17 papers) and Cellular transport and secretion (10 papers). The work is most often cited by research in Biological Psychiatry (311 citations), Oncology (2.7k citations) and Behavioral Neuroscience (320 citations). Yong Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Paul Greengard, Angus C. Nairn, Sung Ho Ryu, J. Bérille, Susan Coughlin, Nathan Levitan, Ronald L. Burkes, Janet Dancey, Richard J. Gralla and Frances A. Shepherd. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.