James X. Du
Impact in
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
- Kruppel-like factors research
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- Genomics and Chromatin Dynamics
Papers in
-
- Cancer-related gene regulation 9
- Kruppel-like factors research 6
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 3
- TGF-β signaling in diseases 1
- Genetics 3
- Genetic Syndromes and Imprinting 3
- Co-authors
- Vincent W. Yang (6 shared papers)Jiemin Wong (8 shared papers)Jiwen Li (7 shared papers)Agnieszka B. Bialkowska (3 shared papers)Beth B. McConnell (2 shared papers)Fang Lan (3 shared papers)Xiaoguang Liu (2 shared papers)Jonathan P. Katz (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Cell Discovery (2 papers)Cell Research (1 paper)Journal of Proteome Research (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
James X. Du
14 papers receiving 802 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 746
- Cancer Research 93
- Geriatrics and Gerontology 23
- Genetics 125
- Oncology 116
Countries citing papers authored by James X. Du
This map shows the geographic impact of James X. Du'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 James X. Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James X. Du more than expected).
Fields of papers citing papers by James X. Du
This network shows the impact of papers produced by James X. Du. 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 James X. Du. The network helps show where James X. Du may publish in the future.
Co-authors
The 25 scholars most cited alongside James X. Du, 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 | 2014 | 153 | |
| 2 | 2017 | 119 | |
| 3 | 2017 | 114 | |
| 4 | 2006 | 92 | |
| 5 | 2008 | 73 | |
| 6 | 2016 | 64 | |
| 7 | 2011 | 47 | |
| 8 | 2018 | 33 | |
| 9 | 2010 | 31 | |
| 10 | 2006 | 28 | |
| 11 | 2017 | 25 | |
| 12 | 2014 | 21 | |
| 13 | 2017 | 5 | |
| 14 | 2011 | 1 |
About James X. Du
James X. Du is a scholar working on Molecular Biology, Genetics, Genetics, Oncology and Hematology, having authored 14 papers that have together received 806 indexed citations. Recurring topics across this work include Cancer-related gene regulation (9 papers), Kruppel-like factors research (6 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (3 papers), Genetic Syndromes and Imprinting (3 papers), Ubiquitin and proteasome pathways (3 papers) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Molecular Biology (746 citations), Cancer Research (93 citations), Geriatrics and Gerontology (23 citations), Genetics (125 citations) and Oncology (116 citations). James X. Du has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Vincent W. Yang, Jiemin Wong, Jiwen Li, Agnieszka B. Bialkowska, Beth B. McConnell, Fang Lan, Xiaoguang Liu, Jonathan P. Katz, Amr M. Ghaleb and Klaus H. Kaestner. Their work appears in journals such as Journal of Biological Chemistry, Cell Discovery, Cell Research, Journal of Proteome Research 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.