Xing-Jun Cao
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
Papers in
-
- Epigenetics and DNA Methylation 7
- RNA modifications and cancer 4
- Cancer-related gene regulation 4
- Genomics and Chromatin Dynamics 3
- Oncology 3
- Co-authors
- Benjamin A. García (12 shared papers)Anna M. Arnaudo (2 shared papers)Kristin B. Runkle (1 shared paper)Akriti Kharbanda (1 shared paper)Wei Wang (1 shared paper)Eric S. Witze (1 shared paper)Ewa Stypulkowski (1 shared paper)Kari G. Chaffee (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (2 papers)Molecular Cell (2 papers)Science Translational Medicine (1 paper)Journal of the American Chemical Society (1 paper)Epigenetics (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Xing-Jun Cao
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Cancer Research 184
- Molecular Biology 793
- Oncology 255
- Cell Biology 102
- Spectroscopy 78
Countries citing papers authored by Xing-Jun Cao
This map shows the geographic impact of Xing-Jun Cao'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 Xing-Jun Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing-Jun Cao more than expected).
Fields of papers citing papers by Xing-Jun Cao
This network shows the impact of papers produced by Xing-Jun Cao. 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 Xing-Jun Cao. The network helps show where Xing-Jun Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing-Jun Cao, 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 | 2017 | 199 | |
| 2 | 2016 | 168 | |
| 3 | 2015 | 128 | |
| 4 | 2013 | 116 | |
| 5 | 2016 | 80 | |
| 6 | 2015 | 80 | |
| 7 | 2016 | 64 | |
| 8 | 2016 | 53 | |
| 9 | 2016 | 53 | |
| 10 | 2015 | 51 | |
| 11 | 2017 | 49 | |
| 12 | 2015 | 34 | |
| 13 | 2013 | 9 | |
| 14 | 2005 | 3 |
About Xing-Jun Cao
Xing-Jun Cao is a scholar working on Molecular Biology, Oncology, Spectroscopy, Neurology and Virology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (4 papers), Genomics and Chromatin Dynamics (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Cancer Research (184 citations), Molecular Biology (793 citations), Oncology (255 citations), Cell Biology (102 citations) and Spectroscopy (78 citations). Xing-Jun Cao has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Benjamin A. García, Anna M. Arnaudo, Kristin B. Runkle, Akriti Kharbanda, Wei Wang, Eric S. Witze, Ewa Stypulkowski, Kari G. Chaffee, Ann L. Oberg and Jung-Sun Kim. Their work appears in journals such as Molecular & Cellular Proteomics, Molecular Cell, Science Translational Medicine, Journal of the American Chemical Society and Epigenetics.
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.