Kitai Kim
Impact in
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Renal and related cancers
- Reproductive Medicine top 5%
Papers in
-
- Pluripotent Stem Cells Research 19
- CRISPR and Genetic Engineering 11
- Renal and related cancers 10
- Epigenetics and DNA Methylation 6
- Co-authors
- George Q. Daley (10 shared papers)Joost H. Gribnau (1 shared paper)Kevin C. Eggan (1 shared paper)Niels Geijsen (1 shared paper)Hongguang Huo (2 shared papers)Yuin‐Han Loh (2 shared papers)John McLaren Howard (7 shared papers)Don R. Domenico (4 shared papers)
- Journals
- Fibers and Polymers (8 papers)Stem Cell Reports (4 papers)Diagnostic Cytopathology (4 papers)Journal of Virology (3 papers)Cellular Reprogramming (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Kitai Kim
81 papers receiving 4.3k citations
Kitai Kim's Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 2.6k
- Reproductive Medicine 234
- Oncology 566
- Genetics 195
- Genetics 489
Countries citing papers authored by Kitai Kim
This map shows the geographic impact of Kitai 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 Kitai Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kitai Kim more than expected).
Fields of papers citing papers by Kitai Kim
This network shows the impact of papers produced by Kitai 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 Kitai Kim. The network helps show where Kitai Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Kitai 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Derivation of embryonic germ cells and male gametes from embryonic stem cells Hit paper breakdown → | 2003 | 700 |
| 2 | Comprehensive methylome map of lineage commitment from haematopoietic progenitors Hit paper breakdown → | 2010 | 517 |
| 3 | 2009 | 503 | |
| 4 | 2011 | 502 | |
| 5 | 2009 | 307 | |
| 6 | 1995 | 248 | |
| 7 | 2006 | 172 | |
| 8 | 2008 | 138 | |
| 9 | 2003 | 122 | |
| 10 | 2007 | 117 | |
| 11 | 1995 | 73 | |
| 12 | 2019 | 69 | |
| 13 | 2014 | 68 | |
| 14 | 1992 | 67 | |
| 15 | 2008 | 43 | |
| 16 | 1998 | 42 | |
| 17 | 2002 | 40 | |
| 18 | 2014 | 40 | |
| 19 | 1995 | 40 | |
| 20 | 2017 | 38 |
About Kitai Kim
Kitai Kim is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 83 papers that have together received 4.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (19 papers), CRISPR and Genetic Engineering (11 papers), Renal and related cancers (10 papers), Pancreatic and Hepatic Oncology Research (8 papers), Reproductive Biology and Fertility (6 papers), Epigenetics and DNA Methylation (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Reproductive Medicine (234 citations), Oncology (566 citations), Genetics (195 citations) and Genetics (489 citations). Kitai Kim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include George Q. Daley, Joost H. Gribnau, Kevin C. Eggan, Niels Geijsen, Hongguang Huo, Yuin‐Han Loh, John McLaren Howard, Don R. Domenico, Akiko Doi and Martin J. Aryee. Their work appears in journals such as Fibers and Polymers, Stem Cell Reports, Diagnostic Cytopathology, Journal of Virology and Cellular Reprogramming.
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.