Kimi Kong
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Mesenchymal stem cell research
Papers in
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- DNA Repair Mechanisms 7
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 3
- Congenital heart defects research 2
- RNA Interference and Gene Delivery 2
- Muscle Physiology and Disorders 2
- Genetics 4
- Mesenchymal stem cell research 4
- Co-authors
- Larry Kedes (2 shared papers)Richard Dahl (3 shared papers)Chinavenmeni S. Velu (1 shared paper)H. Leighton Grimes (1 shared paper)Jason B. Mullenix (2 shared papers)Robert Hromas (9 shared papers)Elizabeth A. Williamson (9 shared papers)Aruna S. Jaiswal (7 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Blood (2 papers)iScience (1 paper)Experimental Hematology (1 paper)Biology of the Cell (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Kimi Kong
18 papers receiving 364 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 97
- Genetics 38
- Molecular Biology 258
- Cell Biology 49
- Urology 16
Countries citing papers authored by Kimi Kong
This map shows the geographic impact of Kimi Kong'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 Kimi Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimi Kong more than expected).
Fields of papers citing papers by Kimi Kong
This network shows the impact of papers produced by Kimi Kong. 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 Kimi Kong. The network helps show where Kimi Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Kimi Kong, 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 | 2010 | 88 | |
| 2 | 2004 | 35 | |
| 3 | 2017 | 33 | |
| 4 | 2017 | 33 | |
| 5 | 2004 | 30 | |
| 6 | 2013 | 27 | |
| 7 | 2006 | 24 | |
| 8 | 2019 | 23 | |
| 9 | 2012 | 19 | |
| 10 | 2019 | 12 | |
| 11 | 2013 | 11 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2017 | 7 | |
| 15 | 2009 | 7 | |
| 16 | 2009 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2004 | 0 |
About Kimi Kong
Kimi Kong is a scholar working on Molecular Biology, Genetics, Cell Biology, Cancer Research and Surgery, having authored 20 papers that have together received 371 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Mesenchymal stem cell research (4 papers), RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (3 papers), Congenital heart defects research (2 papers), RNA Interference and Gene Delivery (2 papers), Cellular Mechanics and Interactions (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Cancer Research (97 citations), Genetics (38 citations), Molecular Biology (258 citations), Cell Biology (49 citations) and Urology (16 citations). Kimi Kong has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Larry Kedes, Richard Dahl, Chinavenmeni S. Velu, H. Leighton Grimes, Jason B. Mullenix, Robert Hromas, Elizabeth A. Williamson, Aruna S. Jaiswal, Morey Kraus and Jeremy J. Mao. Their work appears in journals such as Journal of Biological Chemistry, Blood, iScience, Experimental Hematology and Biology of the Cell.
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.