Joseph Zhou
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
-
- Gene Regulatory Network Analysis 12
- Single-cell and spatial transcriptomics 7
- Bioinformatics and Genomic Networks 6
- Pluripotent Stem Cells Research 3
-
- Mathematical Biology Tumor Growth 4
- Co-authors
- Sui Huang (18 shared papers)Erik Aurell (1 shared paper)M. D. S. Aliyu (1 shared paper)Angela Oliveira Pisco (2 shared papers)Kalliopi Trachana (3 shared papers)Dean A. Jackson (1 shared paper)Andreas E. Moor (1 shared paper)Amy Brock (1 shared paper)
- Journals
- Journal of The Royal Society Interface (3 papers)PLoS ONE (2 papers)Risk Analysis (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Joseph Zhou
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 179
- Biophysics 130
- Molecular Biology 905
- Cancer Research 177
- Aging 21
Countries citing papers authored by Joseph Zhou
This map shows the geographic impact of Joseph 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 Joseph Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Zhou more than expected).
Fields of papers citing papers by Joseph Zhou
This network shows the impact of papers produced by Joseph 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 Joseph Zhou. The network helps show where Joseph Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 230 | |
| 2 | 2013 | 211 | |
| 3 | 2012 | 161 | |
| 4 | 2010 | 132 | |
| 5 | 2013 | 112 | |
| 6 | 2017 | 69 | |
| 7 | 2017 | 59 | |
| 8 | 2011 | 51 | |
| 9 | 2018 | 34 | |
| 10 | 2014 | 32 | |
| 11 | 2016 | 32 | |
| 12 | 2016 | 26 | |
| 13 | 2012 | 23 | |
| 14 | 2018 | 19 | |
| 15 | 2017 | 17 | |
| 16 | 2022 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2016 | 8 | |
| 19 | 1996 | 5 | |
| 20 | 1999 | 3 |
About Joseph Zhou
Joseph Zhou is a scholar working on Molecular Biology, Modeling and Simulation, Surgery, Cancer Research and Small Animals, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (12 papers), Single-cell and spatial transcriptomics (7 papers), Bioinformatics and Genomic Networks (6 papers), Mathematical Biology Tumor Growth (4 papers), Cancer Genomics and Diagnostics (3 papers), Pluripotent Stem Cells Research (3 papers), Pancreatic function and diabetes (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Modeling and Simulation (179 citations), Biophysics (130 citations), Molecular Biology (905 citations), Cancer Research (177 citations) and Aging (21 citations). Joseph Zhou has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Sui Huang, Erik Aurell, M. D. S. Aliyu, Angela Oliveira Pisco, Kalliopi Trachana, Dean A. Jackson, Andreas E. Moor, Amy Brock, Hannah Chang and Alexander Skupin. Their work appears in journals such as Journal of The Royal Society Interface, PLoS ONE, Risk Analysis, Scientific Reports and Nature Communications.
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.