Shuli Xia
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 14
- Kruppel-like factors research 9
- Cancer-related gene regulation 7
- Cell death mechanisms and regulation 4
- Oncology 11
- Cancer Cells and Metastasis 6
- Co-authors
- John Laterra (33 shared papers)Bachchu Lal (19 shared papers)Mingyao Ying (16 shared papers)Yingying Sang (6 shared papers)C. Rory Goodwin (12 shared papers)Jiang Qian (12 shared papers)Steven M. Rothman (2 shared papers)Shan Yu (2 shared papers)
- Journals
- Cancer Research (7 papers)Cancer Letters (3 papers)Oncogene (3 papers)BMC Cancer (3 papers)Molecular Cancer Research (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Shuli Xia
66 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 106
- Genetics 376
- Cancer Research 453
- Molecular Biology 1.6k
- Hepatology 145
- Oncology 431
Countries citing papers authored by Shuli Xia
This map shows the geographic impact of Shuli Xia'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 Shuli Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuli Xia more than expected).
Fields of papers citing papers by Shuli Xia
This network shows the impact of papers produced by Shuli Xia. 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 Shuli Xia. The network helps show where Shuli Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuli Xia, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 263 | |
| 2 | 2011 | 218 | |
| 3 | 2002 | 208 | |
| 4 | 2011 | 156 | |
| 5 | 2018 | 115 | |
| 6 | 2015 | 114 | |
| 7 | 2005 | 102 | |
| 8 | 2009 | 83 | |
| 9 | 2010 | 82 | |
| 10 | 2017 | 81 | |
| 11 | 2018 | 79 | |
| 12 | 2008 | 75 | |
| 13 | 2019 | 62 | |
| 14 | 2021 | 62 | |
| 15 | 2014 | 45 | |
| 16 | 2010 | 43 | |
| 17 | 2013 | 43 | |
| 18 | 2005 | 42 | |
| 19 | 2021 | 42 | |
| 20 | 2017 | 40 |
About Shuli Xia
Shuli Xia is a scholar working on Molecular Biology, Oncology, Cancer Research, Hepatology and Genetics, having authored 66 papers that have together received 2.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (14 papers), Liver physiology and pathology (9 papers), Kruppel-like factors research (9 papers), Glioma Diagnosis and Treatment (8 papers), Cancer-related gene regulation (7 papers), Cancer Cells and Metastasis (6 papers), MicroRNA in disease regulation (6 papers) and Cell death mechanisms and regulation (4 papers). The work is most often cited by research in Genetics (376 citations), Cancer Research (453 citations), Molecular Biology (1.6k citations), Hepatology (145 citations) and Oncology (431 citations). Shuli Xia has collaborated with scholars based in United States, China and Germany. Frequent co-authors include John Laterra, Bachchu Lal, Mingyao Ying, Yingying Sang, C. Rory Goodwin, Jiang Qian, Steven M. Rothman, Shan Yu, Ling Wei and Heng Zhu. Their work appears in journals such as Cancer Research, Cancer Letters, Oncogene, BMC Cancer and Molecular Cancer Research.
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.