In-Kyung Park

6.1k citations
9 papers · 4.8k indexed · 3 hit papers · h-index 6
Topics
Pluripotent Stem Cells Research (2 papers)Epigenetics and DNA Methylation (2 papers)Hematopoietic Stem Cell Transplantation (2 papers)

In The Last Decade

In-Kyung Park

7 papers receiving 4.7k citations

Hit Papers

Phenotypic characterization of human colorectal cancer st...200320262010201820072003200350010001.5k

Peers

In-Kyung Park
Comparison fields: 5 of 111
  • Molecular Biology 3.2k
  • Oncology 2.3k
  • Cancer Research 961
  • Hematology 560
  • Genetics 436
Replace Matthew L. Fero with:
Matthew L. Fero United States
Christian Sirard Canada
Justin C. Grindley United States
Erica L. Jackson United States
Jacqueline J.L. Jacobs Netherlands
Holger Willenbring United States
Alan H. Shih United States
Mizuhiko Terasaki Japan
Håkan Axelson Sweden
Amin Fazeli United States
In-Kyung Park relative to Matthew L. Fero United States Matthew L. Fero's profile →
Citations per field
00.5×1.5×1.9×
Matthew L. Fero · 1×
Citations per year

Countries citing papers authored by In-Kyung Park

Since Specialization
Citations

This map shows the geographic impact of In-Kyung Park'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 In-Kyung Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In-Kyung Park more than expected).

Fields of papers citing papers by In-Kyung Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In-Kyung Park. 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 In-Kyung Park. The network helps show where In-Kyung Park may publish in the future.

Co-authorship network of co-authors of In-Kyung Park

This figure shows the co-authorship network connecting the top 25 collaborators of In-Kyung Park. A scholar is included among the top collaborators of In-Kyung Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with In-Kyung Park. In-Kyung Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4
Phenotypic characterization of human colorectal cancer stem cellsbreakdown →
1723
5 370
6
Bmi-1 is required for maintenance of adult self-renewing haematopoietic stem cellsbreakdown →
1456
7
Bmi-1 dependence distinguishes neural stem cell self-renewal from progenitor proliferationbreakdown →
1034
8 127
9 104

About In-Kyung Park

In-Kyung Park is a scholar working on Aging, Developmental Neuroscience and Hematology, having authored 9 papers that have together received 4.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Oncology (2.3k citations), Developmental Neuroscience (274 citations) and Cancer Research (961 citations). In-Kyung Park has collaborated with scholars based in United States, South Korea and Norway. Frequent co-authors include Michael F. Clarke, Sean J. Morrison, Irving L. Weissman, Dalong Qian, Mark J. Kiel, Michael W. Becker, Ricardo Pardal, Toshihide Iwashita, Anna V. Molofsky and Rui Liu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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.

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