Sun U. Song
Impact in
Papers in
- Genetics 46
- Mesenchymal stem cell research 46
- Co-authors
- TacGhee Yi (31 shared papers)Victor G. Corces (3 shared papers)Jef D. Boeke (2 shared papers)Myung‐Shin Jeon (12 shared papers)Ji‐Kan Ryu (15 shared papers)Jong-Hyuk Sung (7 shared papers)Tsilya Gerasimova (1 shared paper)Pier Paolo Di Fiore (1 shared paper)
- Journals
- Cell Death and Disease (4 papers)Stem Cells and Development (4 papers)Tissue Engineering Part C Methods (3 papers)Tissue Engineering (3 papers)Immune Network (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sun U. Song
93 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 122
- Genetics 908
- Urology 305
- Psychiatry and Mental health 294
- Cancer Research 273
- Rehabilitation 111
Countries citing papers authored by Sun U. Song
This map shows the geographic impact of Sun U. 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 Sun U. Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun U. Song more than expected).
Fields of papers citing papers by Sun U. Song
This network shows the impact of papers produced by Sun U. 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 Sun U. Song. The network helps show where Sun U. Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun U. 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 230 | |
| 2 | 1994 | 217 | |
| 3 | 1994 | 198 | |
| 4 | 2010 | 152 | |
| 5 | Therapy of an animal model of human gastric cancer using a combination of anti-erbB-2 monoclonal antibodies. | 1992 | 135 |
| 6 | Mouse endostatin inhibits the formation of lung and liver metastases. | 1999 | 119 |
| 7 | 2012 | 113 | |
| 8 | 2018 | 78 | |
| 9 | 2005 | 76 | |
| 10 | 2017 | 64 | |
| 11 | 2001 | 62 | |
| 12 | 2011 | 61 | |
| 13 | 1992 | 60 | |
| 14 | 2014 | 59 | |
| 15 | 1997 | 58 | |
| 16 | 2008 | 57 | |
| 17 | 2014 | 56 | |
| 18 | 2008 | 54 | |
| 19 | 2013 | 50 | |
| 20 | 2014 | 50 |
About Sun U. Song
Sun U. Song is a scholar working on Genetics, Molecular Biology, Surgery, Cancer Research and Psychiatry and Mental health, having authored 93 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (46 papers), Sexual function and dysfunction studies (11 papers), Hematopoietic Stem Cell Transplantation (8 papers), Tissue Engineering and Regenerative Medicine (8 papers), Osteoarthritis Treatment and Mechanisms (6 papers), Periodontal Regeneration and Treatments (6 papers), Wound Healing and Treatments (6 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Genetics (908 citations), Urology (305 citations), Psychiatry and Mental health (294 citations), Cancer Research (273 citations) and Rehabilitation (111 citations). Sun U. Song has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include TacGhee Yi, Victor G. Corces, Jef D. Boeke, Myung‐Shin Jeon, Ji‐Kan Ryu, Jong-Hyuk Sung, Tsilya Gerasimova, Pier Paolo Di Fiore, Philip G. Kasprzyk and C. Richter King. Their work appears in journals such as Cell Death and Disease, Stem Cells and Development, Tissue Engineering Part C Methods, Tissue Engineering and Immune Network.
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.