Kitai Kim
Impact in
- Molecular Biology top 2%
- 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 16
- Renal and related cancers 9
- CRISPR and Genetic Engineering 9
- Epigenetics and DNA Methylation 5
- Epidemiology 10
- Cervical Cancer and HPV Research 4
- Co-authors
- George Q. Daley (10 shared papers)Joost Gribnau (1 shared paper)Niels Geijsen (1 shared paper)Kevin Eggan (1 shared paper)Yuin‐Han Loh (2 shared papers)Hongguang Huo (2 shared papers)John M. Howard (7 shared papers)Don R. Domenico (4 shared papers)
- Journals
- Fibers and Polymers (8 papers)Diagnostic Cytopathology (4 papers)Stem Cell Reports (4 papers)Journal of Virology (3 papers)American Journal of Health Behavior (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Kitai Kim
74 papers receiving 3.9k citations
Kitai Kim's Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 2.4k
- Reproductive Medicine 177
- Oncology 530
- Genetics 176
- Genetics 444
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 75 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 | 638 |
| 2 | Comprehensive methylome map of lineage commitment from haematopoietic progenitors Hit paper breakdown → | 2010 | 468 |
| 3 | 2011 | 463 | |
| 4 | 2009 | 445 | |
| 5 | 2009 | 294 | |
| 6 | 1995 | 234 | |
| 7 | 2006 | 153 | |
| 8 | 2008 | 133 | |
| 9 | 2003 | 116 | |
| 10 | 2007 | 101 | |
| 11 | 2014 | 67 | |
| 12 | 1995 | 67 | |
| 13 | 2019 | 65 | |
| 14 | 2008 | 42 | |
| 15 | 2014 | 39 | |
| 16 | 2002 | 38 | |
| 17 | 1998 | 37 | |
| 18 | 2017 | 36 | |
| 19 | 1995 | 36 | |
| 20 | 2002 | 36 |
About Kitai Kim
Kitai Kim is a scholar working on Molecular Biology, Epidemiology, Oncology, Public Health, Environmental and Occupational Health and Surgery, having authored 75 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (16 papers), Renal and related cancers (9 papers), CRISPR and Genetic Engineering (9 papers), Pancreatic and Hepatic Oncology Research (7 papers), Reproductive Biology and Fertility (6 papers), Epigenetics and DNA Methylation (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Cervical Cancer and HPV Research (4 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Reproductive Medicine (177 citations), Oncology (530 citations), Genetics (176 citations) and Genetics (444 citations). Kitai Kim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include George Q. Daley, Joost Gribnau, Niels Geijsen, Kevin Eggan, Yuin‐Han Loh, Hongguang Huo, John M. Howard, Don R. Domenico, Akiko Doi and Andrew P. Feinberg. Their work appears in journals such as Fibers and Polymers, Diagnostic Cytopathology, Stem Cell Reports, Journal of Virology and American Journal of Health Behavior.
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.