Jung-Hsin Hsu
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- Protein Degradation and Inhibitors
- Protein Kinase Regulation and GTPase Signaling
- Ubiquitin and proteasome pathways
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 6
- Retinoids in leukemia and cellular processes 2
- Protein Degradation and Inhibitors 1
-
- Multiple Myeloma Research and Treatments 5
- Co-authors
- Alan Lichtenstein (7 shared papers)Yijiang Shi (7 shared papers)Joseph Gera (4 shared papers)Liping Hu (4 shared papers)Charles L. Sawyers (1 shared paper)Matthew B. Rettig (1 shared paper)Ingo K. Mellinghoff (1 shared paper)Chris Tran (1 shared paper)
- Journals
- Oncogene (3 papers)Endocrinology (2 papers)Journal of Biological Chemistry (2 papers)Food and Agricultural Immunology (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Jung-Hsin Hsu
15 papers receiving 987 citations
Peers
Comparison fields: 5 of 81
- Hematology 264
- Molecular Biology 800
- Pathology and Forensic Medicine 169
- Oncology 219
- Cancer Research 110
Countries citing papers authored by Jung-Hsin Hsu
This map shows the geographic impact of Jung-Hsin 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 Jung-Hsin Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung-Hsin Hsu more than expected).
Fields of papers citing papers by Jung-Hsin Hsu
This network shows the impact of papers produced by Jung-Hsin 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 Jung-Hsin Hsu. The network helps show where Jung-Hsin Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jung-Hsin 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 | 2004 | 284 | |
| 2 | Enhanced sensitivity of multiple myeloma cells containing PTEN mutations to CCI-779. | 2002 | 198 |
| 3 | 2001 | 163 | |
| 4 | 2002 | 96 | |
| 5 | 2002 | 69 | |
| 6 | 1998 | 50 | |
| 7 | 2004 | 49 | |
| 8 | 1995 | 39 | |
| 9 | 1985 | 20 | |
| 10 | 2010 | 15 | |
| 11 | 2013 | 11 | |
| 12 | 1995 | 6 | |
| 13 | 2015 | 5 | |
| 14 | 2015 | 5 | |
| 15 | 2002 | 4 |
About Jung-Hsin Hsu
Jung-Hsin Hsu is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Immunology, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Multiple Myeloma Research and Treatments (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Retinoids in leukemia and cellular processes (2 papers), Cancer Mechanisms and Therapy (2 papers), Estrogen and related hormone effects (2 papers), HIV Research and Treatment (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (264 citations), Molecular Biology (800 citations), Pathology and Forensic Medicine (169 citations), Oncology (219 citations) and Cancer Research (110 citations). Jung-Hsin Hsu has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Alan Lichtenstein, Yijiang Shi, Joseph Gera, Liping Hu, Charles L. Sawyers, Matthew B. Rettig, Ingo K. Mellinghoff, Chris Tran, Gregory A. Brent and Myrna Fisher. Their work appears in journals such as Oncogene, Endocrinology, Journal of Biological Chemistry, Food and Agricultural Immunology and Journal of Bacteriology.
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.