Hakryul Jo
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Immunology top 10%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 5
- CRISPR and Genetic Engineering 2
- Protein Kinase Regulation and GTPase Signaling 2
- Cell death mechanisms and regulation 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)Zac Pujic (2 shared papers)Jarema Malicki (2 shared papers)Fabien Loison (6 shared papers)Daocheng Zhu (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)PLoS ONE (3 papers)Methods (2 papers)Molecular and Cellular Biology (2 papers)Blood (2 papers)
- Partner nations
- United StatesThailandJapan
In The Last Decade
Hakryul Jo
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Cell Biology 232
- Immunology 295
- Molecular Biology 914
- Immunology and Allergy 72
- Cancer Research 122
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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 301 | |
| 2 | 2010 | 132 | |
| 3 | 1998 | 127 | |
| 4 | 2003 | 115 | |
| 5 | 2003 | 102 | |
| 6 | 2007 | 97 | |
| 7 | 2006 | 71 | |
| 8 | 2007 | 66 | |
| 9 | 2000 | 64 | |
| 10 | 2011 | 56 | |
| 11 | 2008 | 52 | |
| 12 | 2007 | 37 | |
| 13 | 2010 | 34 | |
| 14 | 2002 | 30 | |
| 15 | 2014 | 19 | |
| 16 | 2014 | 19 | |
| 17 | 1998 | 13 | |
| 18 | 2001 | 6 | |
| 19 | 2014 | 5 |
About Hakryul Jo
Hakryul Jo is a scholar working on Molecular Biology, Cell Biology, Immunology, Oncology and Neurology, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers), CRISPR and Genetic Engineering (2 papers), Neurological diseases and metabolism (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cerebrovascular and genetic disorders (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cell Biology (232 citations), Immunology (295 citations), Molecular Biology (914 citations), Immunology and Allergy (72 citations) and Cancer Research (122 citations). Hakryul Jo has collaborated with scholars based in United States, Thailand and Japan. Frequent co-authors include Hongbo R. Luo, Hidenori Hattori, Kulandayan K. Subramanian, Yonghui Jia, Zac Pujic, Jarema Malicki, Fabien Loison, Daocheng Zhu, Jian You and Hong Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Methods, Molecular and Cellular Biology and Blood.
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.