Do-Wan Shim
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
-
- Immune Response and Inflammation
- interferon and immune responses
Papers in
-
- Inflammasome and immune disorders 14
- Sphingolipid Metabolism and Signaling 2
- Immunology 13
- Immune Response and Inflammation 5
- Mast cells and histamine 3
- Macrophage Migration Inhibitory Factor 2
- Co-authors
- Kwang‐Ho Lee (20 shared papers)Tae‐Bong Kang (19 shared papers)Sushruta Koppula (15 shared papers)Jiwon Han (10 shared papers)Tack‐Joong Kim (11 shared papers)Inhwa Hwang (6 shared papers)Myong-Ki Kim (9 shared papers)Je‐Wook Yu (6 shared papers)
- Journals
- Journal of Ethnopharmacology (8 papers)Frontiers in Immunology (4 papers)PLoS ONE (2 papers)International Journal of Molecular Sciences (2 papers)Journal of Neuroinflammation (1 paper)
- Partner nations
- South KoreaThailandChina
In The Last Decade
Do-Wan Shim
27 papers receiving 781 citations
Peers
Comparison fields: 5 of 89
- Nephrology 68
- Immunology 186
- Toxicology 27
- Molecular Biology 463
- Biological Psychiatry 14
Countries citing papers authored by Do-Wan Shim
This map shows the geographic impact of Do-Wan Shim'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-Wan Shim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do-Wan Shim more than expected).
Fields of papers citing papers by Do-Wan Shim
This network shows the impact of papers produced by Do-Wan Shim. 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-Wan Shim. The network helps show where Do-Wan Shim may publish in the future.
Co-authors
The 25 scholars most cited alongside Do-Wan Shim, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 81 | |
| 2 | 2015 | 77 | |
| 3 | 2018 | 73 | |
| 4 | 2015 | 68 | |
| 5 | 2012 | 53 | |
| 6 | 2015 | 38 | |
| 7 | 2015 | 36 | |
| 8 | 2019 | 35 | |
| 9 | 2017 | 29 | |
| 10 | 2017 | 27 | |
| 11 | 2013 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2019 | 25 | |
| 14 | 2013 | 25 | |
| 15 | 2016 | 22 | |
| 16 | 2013 | 22 | |
| 17 | 2015 | 22 | |
| 18 | 2013 | 18 | |
| 19 | 2016 | 18 | |
| 20 | 2021 | 17 |
About Do-Wan Shim
Do-Wan Shim is a scholar working on Molecular Biology, Immunology, Surgery, Pharmacology and Plant Science, having authored 28 papers that have together received 793 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (14 papers), Immune Response and Inflammation (5 papers), Mast cells and histamine (3 papers), Cholesterol and Lipid Metabolism (2 papers), Phytochemistry and biological activity of medicinal plants (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Macrophage Migration Inhibitory Factor (2 papers) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Nephrology (68 citations), Immunology (186 citations), Toxicology (27 citations), Molecular Biology (463 citations) and Biological Psychiatry (14 citations). Do-Wan Shim has collaborated with scholars based in South Korea, Thailand and China. Frequent co-authors include Kwang‐Ho Lee, Tae‐Bong Kang, Sushruta Koppula, Jiwon Han, Tack‐Joong Kim, Inhwa Hwang, Myong-Ki Kim, Je‐Wook Yu, Hyung‐Sik Won and Xiao Sun. Their work appears in journals such as Journal of Ethnopharmacology, Frontiers in Immunology, PLoS ONE, International Journal of Molecular Sciences and Journal of Neuroinflammation.
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.