Peter G. Kim
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
-
- Zebrafish Biomedical Research Applications 8
-
- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 2
- Epigenetics and DNA Methylation 1
- Co-authors
- George Q. Daley (10 shared papers)Leonard I. Zon (7 shared papers)Natasha Arora (4 shared papers)Stephanie Chou (4 shared papers)Brandon Hadland (1 shared paper)James J. Collins (1 shared paper)Sergei Doulatov (1 shared paper)Linda T. Vo (1 shared paper)
- Journals
- Blood (4 papers)The Journal of Cell Biology (2 papers)The Journal of Experimental Medicine (2 papers)Developmental Cell (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Peter G. Kim
13 papers receiving 537 citations
Peers
Comparison fields: 5 of 46
- Cell Biology 261
- Hematology 159
- Immunology 129
- Genetics 54
- Molecular Biology 335
Countries citing papers authored by Peter G. Kim
This map shows the geographic impact of Peter G. 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 Peter G. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter G. Kim more than expected).
Fields of papers citing papers by Peter G. Kim
This network shows the impact of papers produced by Peter G. 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 Peter G. Kim. The network helps show where Peter G. Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter G. 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 | 2013 | 203 | |
| 2 | 2015 | 70 | |
| 3 | 2012 | 54 | |
| 4 | 2014 | 53 | |
| 5 | 2015 | 48 | |
| 6 | 2016 | 36 | |
| 7 | 2015 | 34 | |
| 8 | 2006 | 18 | |
| 9 | 2009 | 17 | |
| 10 | 2021 | 5 | |
| 11 | 2025 | 3 | |
| 12 | 2015 | 1 | |
| 13 | 2015 | 1 |
About Peter G. Kim
Peter G. Kim is a scholar working on Cell Biology, Molecular Biology, Genetics, Obstetrics and Gynecology and Hematology, having authored 13 papers that have together received 543 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (8 papers), Pluripotent Stem Cells Research (4 papers), Hematopoietic Stem Cell Transplantation (2 papers), Pregnancy and preeclampsia studies (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), CRISPR and Genetic Engineering (2 papers), Epigenetics and DNA Methylation (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Cell Biology (261 citations), Hematology (159 citations), Immunology (129 citations), Genetics (54 citations) and Molecular Biology (335 citations). Peter G. Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include George Q. Daley, Leonard I. Zon, Natasha Arora, Stephanie Chou, Brandon Hadland, James J. Collins, Sergei Doulatov, Linda T. Vo, Irwin D. Bernstein and Hu Li. Their work appears in journals such as Blood, The Journal of Cell Biology, The Journal of Experimental Medicine, Developmental Cell and Biochemical and Biophysical Research Communications.
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.