Brian Xi
Impact in
- Biophysics top 5%
-
- Neuroscience and Neural Engineering
Papers in
-
- Receptor Mechanisms and Signaling 3
- Ion channel regulation and function 3
- Viral Infectious Diseases and Gene Expression in Insects 3
- Oncology 6
- CAR-T cell therapy research 4
- Co-authors
- Yama Abassi (13 shared papers)Xiao Yun Xu (6 shared papers)Xiaobo Wang (3 shared papers)Naichen Yu (3 shared papers)Shelli L. Kirstein (3 shared papers)Xiaobo Wang (6 shared papers)Wenfu Zhang (2 shared papers)Josephine M. Atienza (2 shared papers)
- Journals
- Molecular Cancer Therapeutics (2 papers)Journal of Visualized Experiments (2 papers)Assay and Drug Development Technologies (2 papers)SLAS DISCOVERY (1 paper)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Brian Xi
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Biophysics 74
- Cellular and Molecular Neuroscience 177
- Molecular Biology 622
- Oncology 222
- Genetics 193
Countries citing papers authored by Brian Xi
This map shows the geographic impact of Brian Xi'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 Brian Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Xi more than expected).
Fields of papers citing papers by Brian Xi
This network shows the impact of papers produced by Brian Xi. 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 Brian Xi. The network helps show where Brian Xi may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Xi, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 244 | |
| 2 | 2009 | 220 | |
| 3 | 2008 | 147 | |
| 4 | 2006 | 138 | |
| 5 | 2011 | 98 | |
| 6 | 2018 | 73 | |
| 7 | 2011 | 71 | |
| 8 | 2016 | 69 | |
| 9 | 2006 | 61 | |
| 10 | 2016 | 57 | |
| 11 | 2011 | 37 | |
| 12 | 2010 | 31 | |
| 13 | 2009 | 22 | |
| 14 | 2003 | 22 | |
| 15 | 2004 | 14 | |
| 16 | 2017 | 11 | |
| 17 | 2019 | 9 | |
| 18 | 2019 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2019 | 2 |
About Brian Xi
Brian Xi is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Biophysics and Cancer Research, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (5 papers), Cell Image Analysis Techniques (4 papers), CAR-T cell therapy research (4 papers), MicroRNA in disease regulation (3 papers), Receptor Mechanisms and Signaling (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Ion channel regulation and function (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Biophysics (74 citations), Cellular and Molecular Neuroscience (177 citations), Molecular Biology (622 citations), Oncology (222 citations) and Genetics (193 citations). Brian Xi has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Yama Abassi, Xiao Yun Xu, Xiaobo Wang, Naichen Yu, Shelli L. Kirstein, Xiaobo Wang, Wenfu Zhang, Josephine M. Atienza, Stuart C. Feinstein and Xiaobo Wang. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Visualized Experiments, Assay and Drug Development Technologies, SLAS DISCOVERY and PLANT PHYSIOLOGY.
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.