Chih‐Chieh Wu
Impact in
- Gender Studies top 10%
- Diversity and Career in Medicine
-
- Cancer-related Molecular Pathways
Papers in
- Genetics 10
- Genomic variations and chromosomal abnormalities 4
- Genetic Associations and Epidemiology 3
-
- Epigenetics and DNA Methylation 4
- Co-authors
- Sanjay Shete (14 shared papers)Christopher I. Amos (5 shared papers)Louise C. Strong (4 shared papers)Tzung-Chi Huang (5 shared papers)Page S. Morahan (2 shared papers)Diane Magrane (2 shared papers)Geoffrey Zhang (5 shared papers)Shine Chang (2 shared papers)
- Journals
- Microvascular Research (4 papers)Human Genetics (3 papers)BMC Genetics (2 papers)Cancer Research (2 papers)International Journal of Health Geographics (2 papers)
- Partner nations
- United StatesTaiwanRussia
In The Last Decade
Chih‐Chieh Wu
31 papers receiving 417 citations
Peers
Comparison fields: 5 of 87
- Gender Studies 67
- Oncology 84
- Cancer Research 38
- Public Health, Environmental and Occupational Health 53
- Genetics 53
Countries citing papers authored by Chih‐Chieh Wu
This map shows the geographic impact of Chih‐Chieh Wu'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 Chih‐Chieh Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Chieh Wu more than expected).
Fields of papers citing papers by Chih‐Chieh Wu
This network shows the impact of papers produced by Chih‐Chieh Wu. 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 Chih‐Chieh Wu. The network helps show where Chih‐Chieh Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chih‐Chieh Wu, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 61 | |
| 2 | 2014 | 57 | |
| 3 | 2012 | 39 | |
| 4 | 2005 | 35 | |
| 5 | 2014 | 31 | |
| 6 | 2009 | 25 | |
| 7 | 2018 | 22 | |
| 8 | 2011 | 19 | |
| 9 | 2010 | 19 | |
| 10 | 2005 | 15 | |
| 11 | 2010 | 15 | |
| 12 | 2015 | 14 | |
| 13 | 2011 | 12 | |
| 14 | 2009 | 8 | |
| 15 | 2007 | 7 | |
| 16 | 2009 | 7 | |
| 17 | 1986 | 5 | |
| 18 | 2010 | 4 | |
| 19 | 2003 | 4 | |
| 20 | 2005 | 3 |
About Chih‐Chieh Wu
Chih‐Chieh Wu is a scholar working on Genetics, Molecular Biology, Computer Vision and Pattern Recognition, Oncology and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 426 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Epigenetics and DNA Methylation (4 papers), Digital Imaging for Blood Diseases (3 papers), Blood properties and coagulation (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Genetic Associations and Epidemiology (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Gender Studies (67 citations), Oncology (84 citations), Cancer Research (38 citations), Public Health, Environmental and Occupational Health (53 citations) and Genetics (53 citations). Chih‐Chieh Wu has collaborated with scholars based in United States, Taiwan and Russia. Frequent co-authors include Sanjay Shete, Christopher I. Amos, Louise C. Strong, Tzung-Chi Huang, Page S. Morahan, Diane Magrane, Geoffrey Zhang, Shine Chang, Deborah Helitzer and Gina Cardinali. Their work appears in journals such as Microvascular Research, Human Genetics, BMC Genetics, Cancer Research and International Journal of Health Geographics.
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.