Rixin Zhou
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
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- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Ubiquitin and proteasome pathways 2
- TGF-β signaling in diseases 1
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- Cellular Mechanics and Interactions 2
- Co-authors
- Charles M. Rudin (2 shared papers)Omar Skalli (5 shared papers)David James VanderWeele (1 shared paper)Matthew G. Vander Heiden (1 shared paper)Feng Jiang (1 shared paper)Lingxiao Xing (1 shared paper)Jian Su (1 shared paper)Maria Guarnera (1 shared paper)
- Journals
- Computers in Biology and Medicine (1 paper)Heritage Science (1 paper)Differentiation (1 paper)Molecular Cancer Therapeutics (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Rixin Zhou
13 papers receiving 408 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 98
- Developmental Neuroscience 24
- Molecular Biology 234
- Oncology 84
- Cell Biology 49
Countries citing papers authored by Rixin Zhou
This map shows the geographic impact of Rixin Zhou'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 Rixin Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rixin Zhou more than expected).
Fields of papers citing papers by Rixin Zhou
This network shows the impact of papers produced by Rixin Zhou. 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 Rixin Zhou. The network helps show where Rixin Zhou may publish in the future.
Co-authors
The 24 scholars most cited alongside Rixin Zhou, 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 | 2004 | 92 | |
| 2 | 2015 | 87 | |
| 3 | Genotoxic exposure is associated with alterations in glucose uptake and metabolism. | 2002 | 56 |
| 4 | 2002 | 39 | |
| 5 | 2000 | 36 | |
| 6 | 2000 | 25 | |
| 7 | 1998 | 23 | |
| 8 | 2001 | 21 | |
| 9 | 2002 | 13 | |
| 10 | 2024 | 8 | |
| 11 | 2017 | 8 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 1 |
About Rixin Zhou
Rixin Zhou is a scholar working on Molecular Biology, Cell Biology, Computer Vision and Pattern Recognition, Cancer Research and Developmental Neuroscience, having authored 13 papers that have together received 413 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Cellular Mechanics and Interactions (2 papers), Ubiquitin and proteasome pathways (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Natural Language Processing Techniques (1 paper), COVID-19 diagnosis using AI (1 paper), TGF-β signaling in diseases (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Cancer Research (98 citations), Developmental Neuroscience (24 citations), Molecular Biology (234 citations), Oncology (84 citations) and Cell Biology (49 citations). Rixin Zhou has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Charles M. Rudin, Omar Skalli, David James VanderWeele, Matthew G. Vander Heiden, Feng Jiang, Lingxiao Xing, Jian Su, Maria Guarnera, Ling Cai and Howard Zhang. Their work appears in journals such as Computers in Biology and Medicine, Heritage Science, Differentiation, Molecular Cancer Therapeutics and Clinical Cancer Research.
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.