Jie Xia
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research
- Developmental Biology and Gene Regulation
- Extracellular vesicles in disease
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
-
- Glycosylation and Glycoproteins Research 21
- Ubiquitin and proteasome pathways 5
- Oncology 26
- Cancer Cells and Metastasis 7
- Co-authors
- Khushi L. Matta (17 shared papers)Robert D. Locke (14 shared papers)Ni Tang (20 shared papers)Kai Wang (18 shared papers)Conrad F. Piskorz (11 shared papers)James L. Alderfer (10 shared papers)Ailong Huang (15 shared papers)Daniel J. Moloney (1 shared paper)
- Journals
- Medicine (3 papers)Biochemistry (3 papers)Cochrane Database of Systematic Reviews (3 papers)Genes & Diseases (3 papers)The Journal of Organic Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jie Xia
141 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 146
- Cancer Research 361
- Molecular Biology 1.6k
- Hepatology 147
- Immunology 342
- Organic Chemistry 404
Countries citing papers authored by Jie Xia
This map shows the geographic impact of Jie 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 Jie Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Xia more than expected).
Fields of papers citing papers by Jie Xia
This network shows the impact of papers produced by Jie 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 Jie Xia. The network helps show where Jie Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Jie 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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 280 | |
| 2 | 2000 | 153 | |
| 3 | 2017 | 123 | |
| 4 | 2020 | 97 | |
| 5 | 2019 | 92 | |
| 6 | 2021 | 90 | |
| 7 | 2013 | 82 | |
| 8 | 2023 | 78 | |
| 9 | 2023 | 74 | |
| 10 | 2016 | 73 | |
| 11 | 2006 | 72 | |
| 12 | 2023 | 67 | |
| 13 | 2018 | 65 | |
| 14 | 2019 | 62 | |
| 15 | 2022 | 58 | |
| 16 | 2022 | 51 | |
| 17 | 2019 | 50 | |
| 18 | 2019 | 48 | |
| 19 | 2020 | 45 | |
| 20 | 2022 | 42 |
About Jie Xia
Jie Xia is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Surgery and Immunology, having authored 148 papers that have together received 3.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (21 papers), Carbohydrate Chemistry and Synthesis (19 papers), Cancer Cells and Metastasis (7 papers), Mesenchymal stem cell research (6 papers), Enzyme Production and Characterization (6 papers), Ubiquitin and proteasome pathways (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Hepatitis B Virus Studies (4 papers). The work is most often cited by research in Cancer Research (361 citations), Molecular Biology (1.6k citations), Hepatology (147 citations), Immunology (342 citations) and Organic Chemistry (404 citations). Jie Xia has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Khushi L. Matta, Robert D. Locke, Ni Tang, Kai Wang, Conrad F. Piskorz, James L. Alderfer, Ailong Huang, Daniel J. Moloney, Robert S. Haltiwanger and Li Liang. Their work appears in journals such as Medicine, Biochemistry, Cochrane Database of Systematic Reviews, Genes & Diseases and The Journal of Organic Chemistry.
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.