Dongmin Gu
Impact in
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- Hippo pathway signaling and YAP/TAZ
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- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
Papers in
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- Wnt/β-catenin signaling in development and cancer 8
- Cancer-related gene regulation 7
- Protein Degradation and Inhibitors 4
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 3
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- Multiple Myeloma Research and Treatments 4
- Co-authors
- Pierre D. McCrea (8 shared papers)Hong Ji (7 shared papers)Jae‐Il Park (3 shared papers)Sergei Y. Sokol (2 shared papers)Kyucheol Cho (4 shared papers)Ji Yeon Hong (2 shared papers)Lei Li (1 shared paper)Sohee Jun (1 shared paper)
- Journals
- Journal of Cell Science (5 papers)Blood (3 papers)PLoS ONE (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Dongmin Gu
16 papers receiving 410 citations
Peers
Comparison fields: 5 of 66
- Cell Biology 85
- Molecular Biology 356
- Hematology 37
- Oncology 48
- Immunology and Allergy 10
Countries citing papers authored by Dongmin Gu
This map shows the geographic impact of Dongmin Gu'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 Dongmin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongmin Gu more than expected).
Fields of papers citing papers by Dongmin Gu
This network shows the impact of papers produced by Dongmin Gu. 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 Dongmin Gu. The network helps show where Dongmin Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongmin Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 79 | |
| 2 | 2010 | 61 | |
| 3 | 2017 | 52 | |
| 4 | 2010 | 49 | |
| 5 | 2012 | 36 | |
| 6 | 2014 | 26 | |
| 7 | 2009 | 25 | |
| 8 | 2013 | 24 | |
| 9 | 2011 | 17 | |
| 10 | 2010 | 17 | |
| 11 | 2012 | 12 | |
| 12 | 2011 | 11 | |
| 13 | 2014 | 6 | |
| 14 | 2014 | 2 | |
| 15 | 2013 | 1 | |
| 16 | 2015 | 1 |
About Dongmin Gu
Dongmin Gu is a scholar working on Molecular Biology, Hematology, Cell Biology, Genetics and Surgery, having authored 16 papers that have together received 419 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (8 papers), Cancer-related gene regulation (7 papers), Protein Degradation and Inhibitors (4 papers), Multiple Myeloma Research and Treatments (4 papers), Ubiquitin and proteasome pathways (4 papers), RNA Research and Splicing (3 papers), Skin and Cellular Biology Research (2 papers) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Cell Biology (85 citations), Molecular Biology (356 citations), Hematology (37 citations), Oncology (48 citations) and Immunology and Allergy (10 citations). Dongmin Gu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Pierre D. McCrea, Hong Ji, Jae‐Il Park, Sergei Y. Sokol, Kyucheol Cho, Ji Yeon Hong, Lei Li, Sohee Jun, Hiroki Hikasa and Robert Z. Orlowski. Their work appears in journals such as Journal of Cell Science, Blood, PLoS ONE, Journal of Pharmacology and Experimental Therapeutics and British Journal of Haematology.
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.