Soyeon Lim
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Circular RNAs in diseases 7
- Mitochondrial Function and Pathology 5
- Signaling Pathways in Disease 5
- Genetics 19
- Mesenchymal stem cell research 18
- Co-authors
- Byeong‐Wook Song (42 shared papers)Woochul Chang (28 shared papers)Yangsoo Jang (30 shared papers)Heesang Song (23 shared papers)Ki‐Chul Hwang (34 shared papers)Seahyoung Lee (39 shared papers)Sang Woo Kim (37 shared papers)Ki-Chul Hwang (16 shared papers)
- Journals
- Molecules (7 papers)European Journal of Pharmacology (5 papers)Biochemical and Biophysical Research Communications (4 papers)Stem Cells (4 papers)Experimental & Molecular Medicine (4 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Soyeon Lim
103 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 114
- Genetics 518
- Cancer Research 301
- Biomaterials 264
- Molecular Biology 1.1k
- Clinical Biochemistry 85
Countries citing papers authored by Soyeon Lim
This map shows the geographic impact of Soyeon Lim'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 Soyeon Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soyeon Lim more than expected).
Fields of papers citing papers by Soyeon Lim
This network shows the impact of papers produced by Soyeon Lim. 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 Soyeon Lim. The network helps show where Soyeon Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Soyeon Lim, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 193 | |
| 2 | 2008 | 143 | |
| 3 | 2007 | 119 | |
| 4 | 2005 | 104 | |
| 5 | 2012 | 94 | |
| 6 | 2011 | 81 | |
| 7 | 2009 | 78 | |
| 8 | 2009 | 78 | |
| 9 | 2007 | 69 | |
| 10 | 2006 | 67 | |
| 11 | 2014 | 65 | |
| 12 | 2008 | 59 | |
| 13 | 2007 | 49 | |
| 14 | 2019 | 47 | |
| 15 | 2013 | 47 | |
| 16 | 2011 | 42 | |
| 17 | 2008 | 41 | |
| 18 | 2018 | 40 | |
| 19 | 2012 | 40 | |
| 20 | 2010 | 38 |
About Soyeon Lim
Soyeon Lim is a scholar working on Molecular Biology, Genetics, Biomaterials, Surgery and Cancer Research, having authored 104 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (18 papers), Electrospun Nanofibers in Biomedical Applications (14 papers), Tissue Engineering and Regenerative Medicine (11 papers), MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (5 papers), Mitochondrial Function and Pathology (5 papers) and Signaling Pathways in Disease (5 papers). The work is most often cited by research in Genetics (518 citations), Cancer Research (301 citations), Biomaterials (264 citations), Molecular Biology (1.1k citations) and Clinical Biochemistry (85 citations). Soyeon Lim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Byeong‐Wook Song, Woochul Chang, Yangsoo Jang, Heesang Song, Ki‐Chul Hwang, Seahyoung Lee, Sang Woo Kim, Ki-Chul Hwang, Onju Ham and Chang Youn Lee. Their work appears in journals such as Molecules, European Journal of Pharmacology, Biochemical and Biophysical Research Communications, Stem Cells and Experimental & Molecular Medicine.
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.