Jack Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
-
- Epigenetics and DNA Methylation 6
- Genomics and Chromatin Dynamics 2
- Renal and related cancers 2
- Cancer-related gene regulation 2
- RNA Research and Splicing 2
- Oncology 9
- Cancer-related Molecular Pathways 9
- Co-authors
- Archana Thakur (6 shared papers)D. Joshua Liao (6 shared papers)Fazlul H. Sarkar (4 shared papers)Hector Biliran (4 shared papers)Aliccia Bollig‐Fischer (6 shared papers)Amro Aboukameel (6 shared papers)Asfar S. Azmi (5 shared papers)Yuan Sun (4 shared papers)
- Journals
- Cancer Research (4 papers)Molecular Biology Reports (2 papers)Molecular Cancer (1 paper)Clinical Cancer Research (1 paper)Cancer Biology & Therapy (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Jack Wu
18 papers receiving 798 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 171
- Oncology 221
- Molecular Biology 591
- Developmental Neuroscience 20
- Pathology and Forensic Medicine 50
Countries citing papers authored by Jack Wu
This map shows the geographic impact of Jack 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 Jack Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Wu more than expected).
Fields of papers citing papers by Jack Wu
This network shows the impact of papers produced by Jack 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 Jack Wu. The network helps show where Jack Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack 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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 107 | |
| 2 | Genomic amplification and a role in drug-resistance for the KDM5A histone demethylase in breast cancer. | 2012 | 102 |
| 3 | 2014 | 72 | |
| 4 | 2007 | 69 | |
| 5 | 2008 | 68 | |
| 6 | 2009 | 63 | |
| 7 | 2010 | 57 | |
| 8 | 2008 | 55 | |
| 9 | Genetic alterations of KDM4 subfamily and therapeutic effect of novel demethylase inhibitor in breast cancer. | 2015 | 52 |
| 10 | 2005 | 39 | |
| 11 | 2008 | 35 | |
| 12 | 2007 | 34 | |
| 13 | 2015 | 29 | |
| 14 | 2012 | 15 | |
| 15 | 2008 | 9 | |
| 16 | 2012 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 2015 | 1 |
About Jack Wu
Jack Wu is a scholar working on Molecular Biology, Oncology, Biotechnology, Pathology and Forensic Medicine and Cancer Research, having authored 18 papers that have together received 812 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Epigenetics and DNA Methylation (6 papers), Cancer Research and Treatments (3 papers), Cancer Mechanisms and Therapy (2 papers), Genomics and Chromatin Dynamics (2 papers), Renal and related cancers (2 papers), Cancer-related gene regulation (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (171 citations), Oncology (221 citations), Molecular Biology (591 citations), Developmental Neuroscience (20 citations) and Pathology and Forensic Medicine (50 citations). Jack Wu has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Archana Thakur, D. Joshua Liao, Fazlul H. Sarkar, Hector Biliran, Aliccia Bollig‐Fischer, Amro Aboukameel, Asfar S. Azmi, Yuan Sun, Zeng Quan Yang and Andreana Holowatyj. Their work appears in journals such as Cancer Research, Molecular Biology Reports, Molecular Cancer, Clinical Cancer Research and Cancer Biology & Therapy.
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.