Peter Geon Kim
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Zebrafish Biomedical Research Applications 9
- Genetics 7
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Mesenchymal stem cell research 2
- Co-authors
- George Q. Daley (11 shared papers)Leonard Ira Zon (8 shared papers)Natasha Arora (5 shared papers)Stephanie S. Chou (5 shared papers)Irwin D. Bernstein (2 shared papers)Brandon Hadland (2 shared papers)Hu Li (2 shared papers)Sergei R. Doulatov (2 shared papers)
- Journals
- Blood (5 papers)The Journal of Experimental Medicine (3 papers)Cell stem cell (2 papers)The Journal of Cell Biology (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Peter Geon Kim
16 papers receiving 971 citations
Peter Geon Kim's Hit Papers
Peers
Comparison fields: 5 of 57
- Hematology 387
- Genetics 217
- Cell Biology 299
- Immunology 195
- Molecular Biology 459
Countries citing papers authored by Peter Geon Kim
This map shows the geographic impact of Peter Geon 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 Geon 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 Geon Kim more than expected).
Fields of papers citing papers by Peter Geon Kim
This network shows the impact of papers produced by Peter Geon 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 Geon Kim. The network helps show where Peter Geon Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Geon 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 | 225 | |
| 2 | Clonal haematopoiesis and risk of chronic liver disease Hit paper breakdown → | 2023 | 149 |
| 3 | 2021 | 117 | |
| 4 | 2022 | 113 | |
| 5 | 2015 | 75 | |
| 6 | 2014 | 57 | |
| 7 | 2012 | 55 | |
| 8 | 2015 | 50 | |
| 9 | 2016 | 38 | |
| 10 | 2015 | 36 | |
| 11 | 2006 | 20 | |
| 12 | 2009 | 20 | |
| 13 | 2015 | 20 | |
| 14 | 2025 | 4 | |
| 15 | 2015 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2025 | 0 |
About Peter Geon Kim
Peter Geon Kim is a scholar working on Cell Biology, Genetics, Hematology, Obstetrics and Gynecology and Molecular Biology, having authored 17 papers that have together received 981 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (9 papers), Pluripotent Stem Cells Research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), CRISPR and Genetic Engineering (2 papers), Pregnancy and preeclampsia studies (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Epigenetics and DNA Methylation (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Hematology (387 citations), Genetics (217 citations), Cell Biology (299 citations), Immunology (195 citations) and Molecular Biology (459 citations). Peter Geon Kim has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include George Q. Daley, Leonard Ira Zon, Natasha Arora, Stephanie S. Chou, Irwin D. Bernstein, Brandon Hadland, Hu Li, Sergei R. Doulatov, James J. Collins and Linda T. Vo. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Cell stem cell, The Journal of Cell Biology 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.