Do‐Hwan Lim
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Aging top 10%
Papers in
-
- RNA Research and Splicing 8
- RNA Interference and Gene Delivery 7
- CRISPR and Genetic Engineering 6
- RNA modifications and cancer 4
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- MicroRNA in disease regulation 7
- Co-authors
- Young Sik Lee (11 shared papers)Richard W. Carthew (2 shared papers)Jee Yun Han (5 shared papers)Erik J. Sontheimer (1 shared paper)Jamie White (1 shared paper)Sigal Pressman (1 shared paper)Jonathan Preall (1 shared paper)Priya Bellare (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)The FASEB Journal (2 papers)Insect Molecular Biology (2 papers)Insects (2 papers)Scientific Reports (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Do‐Hwan Lim
29 papers receiving 745 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 264
- Aging 27
- Molecular Biology 589
- Cell Biology 61
- Immunology 69
Countries citing papers authored by Do‐Hwan Lim
This map shows the geographic impact of Do‐Hwan 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 Do‐Hwan Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do‐Hwan Lim more than expected).
Fields of papers citing papers by Do‐Hwan Lim
This network shows the impact of papers produced by Do‐Hwan 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 Do‐Hwan Lim. The network helps show where Do‐Hwan Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Do‐Hwan 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 276 | |
| 2 | 2020 | 63 | |
| 3 | 2011 | 45 | |
| 4 | 2012 | 40 | |
| 5 | 2019 | 33 | |
| 6 | 2010 | 33 | |
| 7 | 2014 | 28 | |
| 8 | 2015 | 26 | |
| 9 | 2018 | 25 | |
| 10 | 2008 | 24 | |
| 11 | 2020 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2014 | 18 | |
| 14 | 2008 | 18 | |
| 15 | 2018 | 18 | |
| 16 | 2012 | 14 | |
| 17 | 2012 | 10 | |
| 18 | 2023 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2025 | 6 |
About Do‐Hwan Lim
Do‐Hwan Lim is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Immunology and Plant Science, having authored 30 papers that have together received 756 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), MicroRNA in disease regulation (7 papers), RNA Interference and Gene Delivery (7 papers), CRISPR and Genetic Engineering (6 papers), Neurobiology and Insect Physiology Research (5 papers), Invertebrate Immune Response Mechanisms (4 papers), RNA modifications and cancer (4 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Cancer Research (264 citations), Aging (27 citations), Molecular Biology (589 citations), Cell Biology (61 citations) and Immunology (69 citations). Do‐Hwan Lim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Young Sik Lee, Richard W. Carthew, Jee Yun Han, Erik J. Sontheimer, Jamie White, Sigal Pressman, Jonathan Preall, Priya Bellare, Justin J. Cassidy and Kenji Nakahara. Their work appears in journals such as Biochemical and Biophysical Research Communications, The FASEB Journal, Insect Molecular Biology, Insects and Scientific Reports.
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.