Chris Hsu
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
- Genetics 5
- Genetic Associations and Epidemiology 3
- BRCA gene mutations in cancer 2
- Estrogen and related hormone effects 1
- Nutrition, Genetics, and Disease 1
-
- Epigenetics and DNA Methylation 1
- Co-authors
- Samuel I. Miller (1 shared paper)Christopher N. Merrikh (1 shared paper)Houra Merrikh (1 shared paper)David R. Sherman (1 shared paper)John Gage (1 shared paper)Maureen K. Thomason (1 shared paper)Ariana N. Samadpour (1 shared paper)Daniel O. Stram (6 shared papers)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (2 papers)Journal of Proteome Research (2 papers)Nature Communications (1 paper)Carcinogenesis (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesSingaporeNorway
In The Last Decade
Chris Hsu
11 papers receiving 316 citations
Peers
Comparison fields: 5 of 59
- Molecular Medicine 41
- Drug Discovery 1
- Genetics 126
- Molecular Biology 138
- Cancer Research 27
Countries citing papers authored by Chris Hsu
This map shows the geographic impact of Chris 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 Chris Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Hsu more than expected).
Fields of papers citing papers by Chris Hsu
This network shows the impact of papers produced by Chris 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 Chris Hsu. The network helps show where Chris Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris 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 | 2018 | 143 | |
| 2 | 2013 | 55 | |
| 3 | 2007 | 40 | |
| 4 | 2009 | 22 | |
| 5 | 2010 | 17 | |
| 6 | 2014 | 13 | |
| 7 | 2012 | 12 | |
| 8 | 2013 | 11 | |
| 9 | 2013 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2026 | 0 | |
| 13 | 2026 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Chris Hsu
Chris Hsu is a scholar working on Genetics, Molecular Biology, Spectroscopy, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 319 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Advanced Proteomics Techniques and Applications (2 papers), BRCA gene mutations in cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Epigenetics and DNA Methylation (1 paper), Estrogen and related hormone effects (1 paper), Advanced X-ray and CT Imaging (1 paper) and Nutrition, Genetics, and Disease (1 paper). The work is most often cited by research in Molecular Medicine (41 citations), Drug Discovery (1 citation), Genetics (126 citations), Molecular Biology (138 citations) and Cancer Research (27 citations). Chris Hsu has collaborated with scholars based in United States, Singapore and Norway. Frequent co-authors include Samuel I. Miller, Christopher N. Merrikh, Houra Merrikh, David R. Sherman, John Gage, Maureen K. Thomason, Ariana N. Samadpour, Daniel O. Stram, Christopher A. Haiman and Loı̈c Le Marchand. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Journal of Proteome Research, Nature Communications, Carcinogenesis and Molecular Cell.
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.