Eric S. Xu
Impact in
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- CAR-T cell therapy research
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- Nanoplatforms for cancer theranostics
Papers in
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- RNA Research and Splicing 3
- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 2
- Ubiquitin and proteasome pathways 2
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- Sarcoma Diagnosis and Treatment 4
- Co-authors
- David G. Kirsch (10 shared papers)Yan Ma (6 shared papers)Xing Huang (2 shared papers)Yingjie Yu (2 shared papers)Haiqin Song (2 shared papers)Mandar D. Muzumdar (2 shared papers)P. Peter Ghoroghchian (2 shared papers)Zhimin Tao (2 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (2 papers)Molecular Cancer Therapeutics (1 paper)Scientific Reports (1 paper)Frontiers in Oncology (1 paper)Biomaterials (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Eric S. Xu
11 papers receiving 263 citations
Peers
Comparison fields: 5 of 63
- Oncology 69
- Biomedical Engineering 106
- Pulmonary and Respiratory Medicine 71
- Biomaterials 27
- Cancer Research 27
Countries citing papers authored by Eric S. Xu
This map shows the geographic impact of Eric S. Xu'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 Eric S. Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric S. Xu more than expected).
Fields of papers citing papers by Eric S. Xu
This network shows the impact of papers produced by Eric S. Xu. 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 Eric S. Xu. The network helps show where Eric S. Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric S. Xu, 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 | 101 | |
| 2 | 2017 | 49 | |
| 3 | 2018 | 32 | |
| 4 | 2020 | 25 | |
| 5 | 2018 | 20 | |
| 6 | 2018 | 10 | |
| 7 | 2019 | 9 | |
| 8 | 2021 | 6 | |
| 9 | 2019 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 0 |
About Eric S. Xu
Eric S. Xu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 12 papers that have together received 264 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (4 papers), RNA Research and Splicing (3 papers), Cancer-related Molecular Pathways (2 papers), Virus-based gene therapy research (2 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers), Ubiquitin and proteasome pathways (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Oncology (69 citations), Biomedical Engineering (106 citations), Pulmonary and Respiratory Medicine (71 citations), Biomaterials (27 citations) and Cancer Research (27 citations). Eric S. Xu has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include David G. Kirsch, Yan Ma, Xing Huang, Yingjie Yu, Haiqin Song, Mandar D. Muzumdar, P. Peter Ghoroghchian, Zhimin Tao, Neelkanth M. Bardhan and Jeffrey Wyckoff. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Molecular Cancer Therapeutics, Scientific Reports, Frontiers in Oncology and Biomaterials.
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.