J. Hsu
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Cancer-related gene regulation
- Gene expression and cancer classification
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genomics, phytochemicals, and oxidative stress
Papers in
-
- TGF-β signaling in diseases 1
- Genomics and Phylogenetic Studies 1
- Oncology 3
- Cancer-related Molecular Pathways 2
- Pancreatic and Hepatic Oncology Research 1
- Co-authors
- Antonio Iavarone (1 shared paper)Anna Lasorella (1 shared paper)Mark A. Israel (1 shared paper)Pankaj Garg (1 shared paper)Jonathan M. Guberman (2 shared papers)A. Kasprzyk (2 shared papers)Yong Liang (2 shared papers)Jian Zhang (2 shared papers)
- Journals
- Database (2 papers)Genes & Development (1 paper)Carcinogenesis (1 paper)International Journal of Cancer (1 paper)Biochemical Pharmacology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
J. Hsu
8 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 300
- Molecular Biology 771
- Toxicology 33
- Oncology 202
- Health Informatics 7
Countries citing papers authored by J. Hsu
This map shows the geographic impact of J. Hsu'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 J. Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Hsu more than expected).
Fields of papers citing papers by J. Hsu
This network shows the impact of papers produced by J. Hsu. 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 J. Hsu. The network helps show where J. Hsu may publish in the future.
Co-authors
The 22 scholars most cited alongside J. Hsu, 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 | 2011 | 447 | |
| 2 | 1994 | 327 | |
| 3 | 2009 | 77 | |
| 4 | 2011 | 65 | |
| 5 | 2005 | 59 | |
| 6 | 2006 | 42 | |
| 7 | 1998 | 32 | |
| 8 | 2005 | 31 |
About J. Hsu
J. Hsu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (2 papers), Cancer Genomics and Diagnostics (1 paper), Prostate Cancer Treatment and Research (1 paper), TGF-β signaling in diseases (1 paper), Anatomy and Medical Technology (1 paper), Physiological and biochemical adaptations (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Cancer Research (300 citations), Molecular Biology (771 citations), Toxicology (33 citations), Oncology (202 citations) and Health Informatics (7 citations). J. Hsu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Antonio Iavarone, Anna Lasorella, Mark A. Israel, Pankaj Garg, Jonathan M. Guberman, A. Kasprzyk, Yong Liang, Jian Zhang, Syed Haider and Joachim Baran. Their work appears in journals such as Database, Genes & Development, Carcinogenesis, International Journal of Cancer and Biochemical Pharmacology.
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.