Alex Vo
Impact in
Papers in
- Oncology 7
- HER2/EGFR in Cancer Research 5
- Cancer Treatment and Pharmacology 4
-
- Radiomics and Machine Learning in Medical Imaging 2
- Monoclonal and Polyclonal Antibodies Research 2
- COVID-19 diagnosis using AI 2
- Co-authors
- Virginia F. Borges (2 shared papers)Erika Hamilton (2 shared papers)Marc C. Chamberlain (2 shared papers)Todd Gray (2 shared papers)Alison Conlin (2 shared papers)Jorge Chaves (2 shared papers)Scott Peterson (6 shared papers)Diana F. Hausman (6 shared papers)
- Journals
- Molecular Cancer Therapeutics (3 papers)Antiviral Research (1 paper)Clinical Cancer Research (1 paper)Journal of Visual Communication and Image Representation (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Alex Vo
14 papers receiving 522 citations
Peers
Comparison fields: 5 of 60
- Oncology 253
- Genetics 78
- Pulmonary and Respiratory Medicine 208
- Radiology, Nuclear Medicine and Imaging 93
- Molecular Biology 221
Countries citing papers authored by Alex Vo
This map shows the geographic impact of Alex Vo'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 Alex Vo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Vo more than expected).
Fields of papers citing papers by Alex Vo
This network shows the impact of papers produced by Alex Vo. 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 Alex Vo. The network helps show where Alex Vo may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Vo, 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 | 2012 | 144 | |
| 2 | 2018 | 135 | |
| 3 | 2018 | 119 | |
| 4 | 2013 | 58 | |
| 5 | 2014 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2013 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2024 | 4 | |
| 10 | 2015 | 2 | |
| 11 | 2011 | 1 | |
| 12 | 2011 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2025 | 0 |
About Alex Vo
Alex Vo is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology and Organic Chemistry, having authored 15 papers that have together received 530 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), Cancer Treatment and Pharmacology (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Treatments and Mutations (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), COVID-19 diagnosis using AI (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Oncology (253 citations), Genetics (78 citations), Pulmonary and Respiratory Medicine (208 citations), Radiology, Nuclear Medicine and Imaging (93 citations) and Molecular Biology (221 citations). Alex Vo has collaborated with scholars based in United States and Canada. Frequent co-authors include Virginia F. Borges, Erika Hamilton, Marc C. Chamberlain, Todd Gray, Alison Conlin, Jorge Chaves, Scott Peterson, Diana F. Hausman, Rashmi K. Murthy and Antonio Jimeno. Their work appears in journals such as Molecular Cancer Therapeutics, Antiviral Research, Clinical Cancer Research, Journal of Visual Communication and Image Representation and Journal for ImmunoTherapy of Cancer.
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.