Dong‐Soon Im
Impact in
- Molecular Biology top 1%
- Sphingolipid Metabolism and Signaling
- Lipid Membrane Structure and Behavior
- Receptor Mechanisms and Signaling
- Ginseng Biological Effects and Applications
- Protein Kinase Regulation and GTPase Signaling
- Biochemistry top 1%
Papers in
-
- Sphingolipid Metabolism and Signaling 81
- Lipid Membrane Structure and Behavior 32
- Receptor Mechanisms and Signaling 19
- Peroxisome Proliferator-Activated Receptors 19
- Physiology 40
- Asthma and respiratory diseases 20
- Co-authors
- Soo‐Jin Park (23 shared papers)Nicholas Muzyczka (4 shared papers)Kevin R. Lynch (10 shared papers)Fumikazu Okajima (30 shared papers)Christopher E. Heise (5 shared papers)Timothy Hla (4 shared papers)Hae Young Chung (18 shared papers)Brian F. O’Dowd (6 shared papers)
- Journals
- Biomolecules & Therapeutics (26 papers)International Journal of Molecular Sciences (13 papers)Archives of Pharmacal Research (11 papers)Acta Pharmacologica Sinica (10 papers)Cellular Signalling (7 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Dong‐Soon Im
199 papers receiving 6.7k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 4.5k
- Biochemistry 412
- Cell Biology 817
- Immunology 909
- Physiology 1.1k
Countries citing papers authored by Dong‐Soon Im
This map shows the geographic impact of Dong‐Soon Im'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 Dong‐Soon Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Soon Im more than expected).
Fields of papers citing papers by Dong‐Soon Im
This network shows the impact of papers produced by Dong‐Soon Im. 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 Dong‐Soon Im. The network helps show where Dong‐Soon Im may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong‐Soon Im, 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 207 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 347 | |
| 2 | 2000 | 276 | |
| 3 | 2004 | 197 | |
| 4 | 2006 | 172 | |
| 5 | 2000 | 169 | |
| 6 | 2001 | 154 | |
| 7 | 2004 | 153 | |
| 8 | 1992 | 152 | |
| 9 | 2020 | 150 | |
| 10 | 2010 | 144 | |
| 11 | 2016 | 143 | |
| 12 | 1989 | 140 | |
| 13 | 2010 | 140 | |
| 14 | 2012 | 133 | |
| 15 | 2001 | 120 | |
| 16 | 1990 | 116 | |
| 17 | 1993 | 115 | |
| 18 | 2009 | 111 | |
| 19 | 2014 | 107 | |
| 20 | 2016 | 106 |
About Dong‐Soon Im
Dong‐Soon Im is a scholar working on Molecular Biology, Physiology, Immunology, Cell Biology and Pharmacology, having authored 207 papers that have together received 6.8k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (81 papers), Lipid Membrane Structure and Behavior (32 papers), Asthma and respiratory diseases (20 papers), Receptor Mechanisms and Signaling (19 papers), Peroxisome Proliferator-Activated Receptors (19 papers), Dermatology and Skin Diseases (12 papers), Food Quality and Safety Studies (11 papers) and Cholesterol and Lipid Metabolism (11 papers). The work is most often cited by research in Molecular Biology (4.5k citations), Biochemistry (412 citations), Cell Biology (817 citations), Immunology (909 citations) and Physiology (1.1k citations). Dong‐Soon Im has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Soo‐Jin Park, Nicholas Muzyczka, Kevin R. Lynch, Fumikazu Okajima, Christopher E. Heise, Timothy Hla, Hae Young Chung, Brian F. O’Dowd, Kōichi Sato and Saeromi Kang. Their work appears in journals such as Biomolecules & Therapeutics, International Journal of Molecular Sciences, Archives of Pharmacal Research, Acta Pharmacologica Sinica and Cellular Signalling.
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.