Do‐Sim Park
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Toxicology top 5%
Papers in
-
- RNA Research and Splicing 7
- Cell death mechanisms and regulation 5
- Epidemiology 16
- Hepatitis B Virus Studies 4
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Hak-Ryul Kim (21 shared papers)Ki‐Eun Hwang (18 shared papers)Eun‐Taik Jeong (15 shared papers)Kwon‐Ha Yoon (12 shared papers)Young Suk Kim (7 shared papers)Young‐Jin Lee (13 shared papers)Seon‐Hee Oh (3 shared papers)Keum Ha Choi (10 shared papers)
- Journals
- Annals of Laboratory Medicine (5 papers)Biochemical and Biophysical Research Communications (4 papers)International Journal of Oncology (3 papers)The Journal of Experimental Medicine (2 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Do‐Sim Park
65 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Cancer Research 205
- Toxicology 41
- Molecular Biology 575
- Immunology 166
- Epidemiology 189
Countries citing papers authored by Do‐Sim Park
This map shows the geographic impact of Do‐Sim 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 Do‐Sim Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do‐Sim Park more than expected).
Fields of papers citing papers by Do‐Sim Park
This network shows the impact of papers produced by Do‐Sim 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 Do‐Sim Park. The network helps show where Do‐Sim Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Do‐Sim Park, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 105 | |
| 2 | 2017 | 87 | |
| 3 | 2011 | 74 | |
| 4 | 2015 | 72 | |
| 5 | 2010 | 60 | |
| 6 | 2011 | 50 | |
| 7 | 2003 | 49 | |
| 8 | 2014 | 44 | |
| 9 | 2020 | 44 | |
| 10 | 2009 | 44 | |
| 11 | 2016 | 42 | |
| 12 | 2015 | 42 | |
| 13 | 2012 | 38 | |
| 14 | 2009 | 37 | |
| 15 | 2004 | 36 | |
| 16 | 2016 | 35 | |
| 17 | 2009 | 28 | |
| 18 | 2008 | 25 | |
| 19 | 2020 | 25 | |
| 20 | 2014 | 24 |
About Do‐Sim Park
Do‐Sim Park is a scholar working on Molecular Biology, Epidemiology, Immunology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Cell death mechanisms and regulation (5 papers), Hepatitis B Virus Studies (4 papers), Cancer, Lipids, and Metabolism (4 papers), Smoking Behavior and Cessation (3 papers), T-cell and B-cell Immunology (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Cancer Research (205 citations), Toxicology (41 citations), Molecular Biology (575 citations), Immunology (166 citations) and Epidemiology (189 citations). Do‐Sim Park has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Hak-Ryul Kim, Ki‐Eun Hwang, Eun‐Taik Jeong, Kwon‐Ha Yoon, Young Suk Kim, Young‐Jin Lee, Seon‐Hee Oh, Keum Ha Choi, Ji‐Hyun Cho and Hyun‐Young Park. Their work appears in journals such as Annals of Laboratory Medicine, Biochemical and Biophysical Research Communications, International Journal of Oncology, The Journal of Experimental Medicine and The Journal of Cell Biology.
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.