Hakryul Jo
Impact in
- Immunology top 10%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 5
- Protein Degradation and Inhibitors 2
- Protein Kinase Regulation and GTPase Signaling 2
- Oncology 4
- Cancer-related Molecular Pathways 2
- Co-authors
- Hongbo R. Luo (10 shared papers)Hidenori Hattori (7 shared papers)Kulandayan K. Subramanian (6 shared papers)Yonghui Jia (6 shared papers)Jarema Malicki (2 shared papers)Zac Pujic (2 shared papers)Fabien Loison (6 shared papers)Hong Zhang (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)PLoS ONE (3 papers)Methods (2 papers)Blood (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesThailandBelgium
In The Last Decade
Hakryul Jo
22 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Immunology 292
- Cell Biology 234
- Molecular Biology 905
- Immunology and Allergy 70
- Cancer Research 114
Countries citing papers authored by Hakryul Jo
This map shows the geographic impact of Hakryul Jo'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 Hakryul Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hakryul Jo more than expected).
Fields of papers citing papers by Hakryul Jo
This network shows the impact of papers produced by Hakryul Jo. 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 Hakryul Jo. The network helps show where Hakryul Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hakryul Jo, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 307 | |
| 2 | 2010 | 141 | |
| 3 | 1998 | 131 | |
| 4 | 2003 | 128 | |
| 5 | 2003 | 105 | |
| 6 | 2007 | 98 | |
| 7 | 2006 | 72 | |
| 8 | 2007 | 66 | |
| 9 | 2000 | 66 | |
| 10 | 2011 | 56 | |
| 11 | 2008 | 53 | |
| 12 | 2007 | 38 | |
| 13 | 2010 | 35 | |
| 14 | 2002 | 32 | |
| 15 | 1996 | 31 | |
| 16 | 2014 | 21 | |
| 17 | 2014 | 20 | |
| 18 | 1998 | 13 | |
| 19 | 2025 | 9 | |
| 20 | 2001 | 7 |
About Hakryul Jo
Hakryul Jo is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Neurology, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Degradation and Inhibitors (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cancer-related Molecular Pathways (2 papers), Neurological diseases and metabolism (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cerebrovascular and genetic disorders (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Immunology (292 citations), Cell Biology (234 citations), Molecular Biology (905 citations), Immunology and Allergy (70 citations) and Cancer Research (114 citations). Hakryul Jo has collaborated with scholars based in United States, Thailand and Belgium. Frequent co-authors include Hongbo R. Luo, Hidenori Hattori, Kulandayan K. Subramanian, Yonghui Jia, Jarema Malicki, Zac Pujic, Fabien Loison, Hong Zhang, Jian You and Daocheng Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Methods, Blood and Molecular and Cellular 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.