Xuning Emily Guo
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
- DNA Repair Mechanisms
- RNA modifications and cancer
Papers in
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- DNA Repair Mechanisms 3
- Mitochondrial Function and Pathology 3
- RNA Research and Splicing 2
- RNA Interference and Gene Delivery 2
- Genomics and Chromatin Dynamics 1
- Ubiquitin and proteasome pathways 1
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- Microtubule and mitosis dynamics 2
- Co-authors
- Aude I. Ségaliny (1 shared paper)Michelle A. Digman (1 shared paper)Chi Wut Wong (1 shared paper)Victor Pham (1 shared paper)Fengxia Ma (1 shared paper)Jenu V. Chacko (1 shared paper)Jan Zimak (1 shared paper)Linan Liu (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)European Journal of Medicinal Chemistry (1 paper)Cell Cycle (1 paper)Cellular and Molecular Bioengineering (1 paper)Current Drug Targets (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Xuning Emily Guo
7 papers receiving 628 citations
Xuning Emily Guo's Hit Papers
Peers
Comparison fields: 5 of 76
- Cancer Research 240
- Molecular Biology 551
- Neurology 60
- Genetics 33
- Cell Biology 43
Countries citing papers authored by Xuning Emily Guo
This map shows the geographic impact of Xuning Emily Guo'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 Xuning Emily Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuning Emily Guo more than expected).
Fields of papers citing papers by Xuning Emily Guo
This network shows the impact of papers produced by Xuning Emily Guo. 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 Xuning Emily Guo. The network helps show where Xuning Emily Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuning Emily Guo, 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 | Elucidation of Exosome Migration Across the Blood–Brain Barrier Model In Vitro Hit paper breakdown → | 2016 | 422 |
| 2 | 2008 | 61 | |
| 3 | 2014 | 58 | |
| 4 | 2015 | 41 | |
| 5 | 2014 | 29 | |
| 6 | 2011 | 18 | |
| 7 | 2013 | 2 |
About Xuning Emily Guo
Xuning Emily Guo is a scholar working on Molecular Biology, Cell Biology, Oncology, Cancer Research and Infectious Diseases, having authored 7 papers that have together received 631 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Mitochondrial Function and Pathology (3 papers), RNA Research and Splicing (2 papers), RNA Interference and Gene Delivery (2 papers), Microtubule and mitosis dynamics (2 papers), Genomics and Chromatin Dynamics (1 paper), MicroRNA in disease regulation (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (240 citations), Molecular Biology (551 citations), Neurology (60 citations), Genetics (33 citations) and Cell Biology (43 citations). Xuning Emily Guo has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Aude I. Ségaliny, Michelle A. Digman, Chi Wut Wong, Victor Pham, Fengxia Ma, Jenu V. Chacko, Jan Zimak, Linan Liu, Wen‐Hwa Lee and Claire C. Chen. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Medicinal Chemistry, Cell Cycle, Cellular and Molecular Bioengineering and Current Drug Targets.
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.