Xing-Jun Cao
Impact in
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Cancer Research top 10%
Papers in
-
- Epigenetics and DNA Methylation 7
- Cancer-related gene regulation 4
- RNA modifications and cancer 4
- Genomics and Chromatin Dynamics 3
- Ubiquitin and proteasome pathways 1
- Oncology 3
- Co-authors
- Benjamin A. García (12 shared papers)Anna M. Arnaudo (2 shared papers)Eric S. Witze (1 shared paper)Kristin B. Runkle (1 shared paper)Akriti Kharbanda (1 shared paper)Ewa Stypulkowski (1 shared paper)Wei Wang (1 shared paper)Greg Donahue (1 shared paper)
- Journals
- Molecular Cell (2 papers)Molecular & Cellular Proteomics (2 papers)Developmental Cell (1 paper)Genomics Proteomics & Bioinformatics (1 paper)Epigenetics (1 paper)
- Partner nations
- United StatesChinaPortugal
In The Last Decade
Xing-Jun Cao
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 764
- Cancer Research 153
- Oncology 229
- Cell Biology 99
- Neurology 68
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 | 203 | |
| 2 | 2016 | 178 | |
| 3 | 2015 | 131 | |
| 4 | 2013 | 118 | |
| 5 | 2015 | 82 | |
| 6 | 2016 | 80 | |
| 7 | 2016 | 64 | |
| 8 | 2016 | 55 | |
| 9 | 2016 | 54 | |
| 10 | 2015 | 53 | |
| 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), Cancer-related gene regulation (4 papers), RNA modifications and cancer (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Genomics and Chromatin Dynamics (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (764 citations), Cancer Research (153 citations), Oncology (229 citations), Cell Biology (99 citations) and Neurology (68 citations). Xing-Jun Cao has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Benjamin A. García, Anna M. Arnaudo, Eric S. Witze, Kristin B. Runkle, Akriti Kharbanda, Ewa Stypulkowski, Wei Wang, Greg Donahue, Jung-Sun Kim and Gloria M. Petersen. Their work appears in journals such as Molecular Cell, Molecular & Cellular Proteomics, Developmental Cell, Genomics Proteomics & Bioinformatics 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.