Jia Xie
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- Monoclonal and Polyclonal Antibodies Research 14
- Immunology top 10%
- Immune Cell Function and Interaction 4
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- Glycosylation and Glycoproteins Research 4
- Viral Infectious Diseases and Gene Expression in Insects 4
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment 5
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- CAR-T cell therapy research 4
- Chemokine receptors and signaling 4
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- Influenza Virus Research Studies 6
- Co-authors
- Richard A. LernerIan A. WilsonNicholas C. WuKyungmoo YeaHongkai ZhangMaria V. BarbolinaAndre Kajdacsy‐BallaXueyong Zhu
- Journals
- Proceedings of the National Academy of Sciences (8 papers)Nature Communications (5 papers)Molecular Cancer Research (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jia Xie
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Radiology, Nuclear Medicine and Imaging 311
- Immunology 227
- Molecular Biology 651
- Reproductive Medicine 72
- Oncology 228
Countries citing papers authored by Jia Xie
This map shows the geographic impact of Jia Xie'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 Jia Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Xie more than expected).
Fields of papers citing papers by Jia Xie
This network shows the impact of papers produced by Jia Xie. 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 Jia Xie. The network helps show where Jia Xie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jia Xie, 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 | 2022 | 16 | |
| 2 | 2020 | 9 | |
| 3 | 2020 | 49 | |
| 4 | 2020 | 41 | |
| 5 | 2019 | 47 | |
| 6 | 2018 | 33 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 54 | |
| 9 | 2017 | 79 | |
| 10 | 2017 | 29 | |
| 11 | 2017 | 55 | |
| 12 | 2016 | 15 | |
| 13 | 2016 | 2 | |
| 14 | 2015 | 28 | |
| 15 | 2015 | 17 | |
| 16 | 2014 | 30 | |
| 17 | 2013 | 46 | |
| 18 | 2013 | 43 | |
| 19 | 2012 | 41 | |
| 20 | 2011 | 50 |
About Jia Xie
Jia Xie is a scholar working on Radiology, Nuclear Medicine and Imaging, Reproductive Medicine and Immunology and Allergy, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Influenza Virus Research Studies (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Glycosylation and Glycoproteins Research (4 papers), CAR-T cell therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Chemokine receptors and signaling (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (311 citations), Immunology (227 citations) and Molecular Biology (651 citations). Jia Xie has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Richard A. Lerner, Ian A. Wilson, Nicholas C. Wu, Kyungmoo Yea, Hongkai Zhang, Maria V. Barbolina, Andre Kajdacsy‐Balla, Xueyong Zhu, Lisa M. Rooper and Teresa M. Jones. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Molecular Cancer Research, iScience and Scientific Reports.
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.