Junhui Song
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Histone Deacetylase Inhibitors Research 4
- Angiogenesis and VEGF in Cancer 3
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- Cancer-related molecular mechanisms research 3
- Carcinogens and Genotoxicity Assessment 3
- Co-authors
- Paul H. Krebsbach (13 shared papers)Russell S. Taichman (11 shared papers)Jingcheng Wang (7 shared papers)Younghun Jung (8 shared papers)Yusuke Shiozawa (8 shared papers)Aaron M. Havens (7 shared papers)Kenneth J. Pienta (3 shared papers)Lalit R. Patel (3 shared papers)
- Journals
- Blood (5 papers)Stem Cells (3 papers)PLoS ONE (2 papers)Nutrients (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Junhui Song
56 papers receiving 1.7k citations
Junhui Song's Hit Papers
Peers
Comparison fields: 5 of 113
- Genetics 303
- Hematology 296
- Oncology 583
- Cancer Research 253
- Urology 64
Countries citing papers authored by Junhui Song
This map shows the geographic impact of Junhui Song'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 Junhui Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhui Song more than expected).
Fields of papers citing papers by Junhui Song
This network shows the impact of papers produced by Junhui Song. 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 Junhui Song. The network helps show where Junhui Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhui Song, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human prostate cancer metastases target the hematopoietic stem cell niche to establish footholds in mouse bone marrow Hit paper breakdown → | 2011 | 540 |
| 2 | 2010 | 139 | |
| 3 | 2008 | 132 | |
| 4 | 2007 | 114 | |
| 5 | 2010 | 84 | |
| 6 | 2010 | 74 | |
| 7 | 2004 | 67 | |
| 8 | 2017 | 56 | |
| 9 | 2010 | 45 | |
| 10 | 2010 | 43 | |
| 11 | 2016 | 36 | |
| 12 | 2015 | 32 | |
| 13 | 2014 | 26 | |
| 14 | 1989 | 25 | |
| 15 | 2015 | 25 | |
| 16 | 2006 | 21 | |
| 17 | 2011 | 21 | |
| 18 | 2019 | 20 | |
| 19 | 2011 | 15 | |
| 20 | 2009 | 13 |
About Junhui Song
Junhui Song is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Genetics, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Cancer Cells and Metastasis (6 papers), Mesenchymal stem cell research (6 papers), Histone Deacetylase Inhibitors Research (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Wound Healing and Treatments (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). The work is most often cited by research in Genetics (303 citations), Hematology (296 citations), Oncology (583 citations), Cancer Research (253 citations) and Urology (64 citations). Junhui Song has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Paul H. Krebsbach, Russell S. Taichman, Jingcheng Wang, Younghun Jung, Yusuke Shiozawa, Aaron M. Havens, Kenneth J. Pienta, Lalit R. Patel, Elisabeth A. Pedersen and Sung‐Kwon Moon. Their work appears in journals such as Blood, Stem Cells, PLoS ONE, Nutrients 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.