Young‐Dae Kim
Impact in
Papers in
-
- Pluripotent Stem Cells Research 4
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 3
- Natural product bioactivities and synthesis 2
- Signaling Pathways in Disease 2
-
- Mast cells and histamine 2
- Co-authors
- Chang‐Duk Jun (9 shared papers)Yee Sook Cho (4 shared papers)Han‐Seop Kim (3 shared papers)Jungwoon Lee (3 shared papers)Hyung Jin Lim (1 shared paper)Hae Chan Ha (2 shared papers)Da Yong Lee (1 shared paper)Min‐Sung Kwon (4 shared papers)
- Journals
- Journal of Cellular Biochemistry (2 papers)Immune Network (2 papers)Biochemical and Biophysical Research Communications (1 paper)Life Sciences (1 paper)Mathematical Programming Computation (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Young‐Dae Kim
21 papers receiving 534 citations
Peers
Comparison fields: 5 of 102
- Developmental Neuroscience 23
- Cancer Research 65
- Cellular and Molecular Neuroscience 83
- Immunology 93
- Immunology and Allergy 23
Countries citing papers authored by Young‐Dae Kim
This map shows the geographic impact of Young‐Dae 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 Young‐Dae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Dae Kim more than expected).
Fields of papers citing papers by Young‐Dae Kim
This network shows the impact of papers produced by Young‐Dae 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 Young‐Dae Kim. The network helps show where Young‐Dae Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Young‐Dae 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 100 | |
| 2 | 2020 | 78 | |
| 3 | 2007 | 54 | |
| 4 | 2013 | 38 | |
| 5 | 2021 | 36 | |
| 6 | 2009 | 28 | |
| 7 | 2017 | 26 | |
| 8 | 2009 | 25 | |
| 9 | 2008 | 22 | |
| 10 | 2022 | 20 | |
| 11 | 2011 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2009 | 13 | |
| 14 | 2018 | 13 | |
| 15 | 2015 | 12 | |
| 16 | 2013 | 12 | |
| 17 | 2016 | 11 | |
| 18 | 2006 | 10 | |
| 19 | 2021 | 8 | |
| 20 | 2016 | 4 |
About Young‐Dae Kim
Young‐Dae Kim is a scholar working on Molecular Biology, Immunology, Aquatic Science, Pharmacology and Cancer Research, having authored 22 papers that have together received 543 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (3 papers), Aquaculture Nutrition and Growth (2 papers), Natural product bioactivities and synthesis (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Mast cells and histamine (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Developmental Neuroscience (23 citations), Cancer Research (65 citations), Cellular and Molecular Neuroscience (83 citations), Immunology (93 citations) and Immunology and Allergy (23 citations). Young‐Dae Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Chang‐Duk Jun, Yee Sook Cho, Han‐Seop Kim, Jungwoon Lee, Hyung Jin Lim, Hae Chan Ha, Da Yong Lee, Min‐Sung Kwon, Joong Myung Cho and Jae Yun Kim. Their work appears in journals such as Journal of Cellular Biochemistry, Immune Network, Biochemical and Biophysical Research Communications, Life Sciences and Mathematical Programming Computation.
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.