Daekwan Seo
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Pluripotent Stem Cells Research 4
- RNA modifications and cancer 4
- Ubiquitin and proteasome pathways 3
- CRISPR and Genetic Engineering 3
- Hepatology 11
- Liver physiology and pathology 10
- Co-authors
- Valentina M. Factor (18 shared papers)Snorri S. Thorgeirsson (17 shared papers)Jens U. Marquardt (15 shared papers)Elizabeth A. Conner (13 shared papers)Jesper B. Andersen (10 shared papers)Mitsuteru Kitade (9 shared papers)Chiara Raggi (7 shared papers)Ágnes Holczbauer (5 shared papers)
- Journals
- Journal of Hepatology (3 papers)Hepatology (3 papers)Cancer Research (3 papers)International Journal of Hyperthermia (2 papers)International Journal of Oncology (2 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Daekwan Seo
47 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 108
- Hepatology 552
- Cancer Research 460
- Virology 143
- Oncology 544
- Molecular Biology 1.3k
Countries citing papers authored by Daekwan Seo
This map shows the geographic impact of Daekwan Seo'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 Daekwan Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daekwan Seo more than expected).
Fields of papers citing papers by Daekwan Seo
This network shows the impact of papers produced by Daekwan Seo. 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 Daekwan Seo. The network helps show where Daekwan Seo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daekwan Seo, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 225 | |
| 2 | 2016 | 216 | |
| 3 | 2011 | 155 | |
| 4 | 2013 | 136 | |
| 5 | 2010 | 128 | |
| 6 | 2014 | 127 | |
| 7 | 2018 | 123 | |
| 8 | 2014 | 96 | |
| 9 | 2016 | 93 | |
| 10 | 2013 | 82 | |
| 11 | 2014 | 79 | |
| 12 | 2010 | 77 | |
| 13 | 2013 | 70 | |
| 14 | 2014 | 69 | |
| 15 | 2012 | 67 | |
| 16 | 2014 | 65 | |
| 17 | 2011 | 63 | |
| 18 | 2016 | 61 | |
| 19 | 2010 | 60 | |
| 20 | 2010 | 60 |
About Daekwan Seo
Daekwan Seo is a scholar working on Molecular Biology, Hepatology, Oncology, Cancer Research and Surgery, having authored 48 papers that have together received 2.7k indexed citations. Recurring topics across this work include Liver physiology and pathology (10 papers), Pluripotent Stem Cells Research (4 papers), Cancer-related Molecular Pathways (4 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers), Ubiquitin and proteasome pathways (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Hepatology (552 citations), Cancer Research (460 citations), Virology (143 citations), Oncology (544 citations) and Molecular Biology (1.3k citations). Daekwan Seo has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Valentina M. Factor, Snorri S. Thorgeirsson, Jens U. Marquardt, Elizabeth A. Conner, Jesper B. Andersen, Mitsuteru Kitade, Chiara Raggi, Ágnes Holczbauer, Tsuyoshi Ishikawa and Marian E. Durkin. Their work appears in journals such as Journal of Hepatology, Hepatology, Cancer Research, International Journal of Hyperthermia and International Journal of Oncology.
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.