Daein Kim
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Skin and Cellular Biology Research
Papers in
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- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 2
- DNA Repair Mechanisms 1
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- Data Mining Algorithms and Applications 2
- Co-authors
- Brian Burke (1 shared paper)Qian Liu (1 shared paper)Colin L. Stewart (1 shared paper)Melissa Crisp (1 shared paper)Kyle J. Roux (1 shared paper)С. В. Козлов (1 shared paper)Jeong‐Chil Yoo (2 shared papers)Jin-Woo Park (1 shared paper)
- Journals
- Molecular Cell (2 papers)Proceedings of the National Academy of Sciences (1 paper)The KIPS Transactions PartD (1 paper)Korean Journal of Environment and Ecology (4 papers)The Journal of the Korea Contents Association (3 papers)
- Partner nations
- United StatesNetherlandsSingapore
In The Last Decade
Daein Kim
10 papers receiving 325 citations
Peers
Comparison fields: 5 of 48
- Cell Biology 144
- Ecological Modeling 19
- Molecular Biology 266
- Aging 4
- Developmental Biology 4
Countries citing papers authored by Daein Kim
This map shows the geographic impact of Daein 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 Daein Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daein Kim more than expected).
Fields of papers citing papers by Daein Kim
This network shows the impact of papers produced by Daein 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 Daein Kim. The network helps show where Daein Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Daein 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 | 2009 | 295 | |
| 2 | 2017 | 20 | |
| 3 | 2016 | 7 | |
| 4 | 2019 | 7 | |
| 5 | 2017 | 6 | |
| 6 | 2025 | 2 | |
| 7 | Legal Issues in Facilitation, Fair-Use of E-Procurement System - Lessons from Korean Experience | 2019 | 2 |
| 8 | 2023 | 1 | |
| 9 | 2006 | 1 | |
| 10 | 2009 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2010 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2009 | 0 |
About Daein Kim
Daein Kim is a scholar working on Molecular Biology, Information Systems, Signal Processing, Plant Science and Global and Planetary Change, having authored 14 papers that have together received 344 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Data Mining Algorithms and Applications (2 papers), Data Management and Algorithms (2 papers), Ecology and Conservation Studies (2 papers), CRISPR and Genetic Engineering (2 papers), Innovation in Digital Healthcare Systems (1 paper), DNA Repair Mechanisms (1 paper) and Diverse Approaches in Healthcare and Education Studies (1 paper). The work is most often cited by research in Cell Biology (144 citations), Ecological Modeling (19 citations), Molecular Biology (266 citations), Aging (4 citations) and Developmental Biology (4 citations). Daein Kim has collaborated with scholars based in United States, Netherlands and Singapore. Frequent co-authors include Brian Burke, Qian Liu, Colin L. Stewart, Melissa Crisp, Kyle J. Roux, С. В. Козлов, Jeong‐Chil Yoo, Jin-Woo Park, Jeong‐Hyun Lee and Su Hwan Kim. Their work appears in journals such as Molecular Cell, Proceedings of the National Academy of Sciences, The KIPS Transactions PartD, Korean Journal of Environment and Ecology and The Journal of the Korea Contents Association.
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.