Aaron Topol
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 3
- Epigenetics and DNA Methylation 2
-
- Biosensors and Analytical Detection 3
- Co-authors
- Kristen Brennand (7 shared papers)Ian Ladran (2 shared papers)Krista R. Wigginton (4 shared papers)Ngoc Tran (3 shared papers)Marlene K. Wolfe (4 shared papers)Alexandria B. Boehm (4 shared papers)Gang Fang (2 shared papers)Jeffrey N. Savas (2 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)WIREs Systems Biology and Medicine (1 paper)Nature Communications (1 paper)Translational Psychiatry (1 paper)mSystems (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Aaron Topol
12 papers receiving 703 citations
Peers
Comparison fields: 5 of 77
- Developmental Neuroscience 69
- Infectious Diseases 240
- Biological Psychiatry 24
- Aging 16
- Modeling and Simulation 31
Countries citing papers authored by Aaron Topol
This map shows the geographic impact of Aaron Topol'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 Aaron Topol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Topol more than expected).
Fields of papers citing papers by Aaron Topol
This network shows the impact of papers produced by Aaron Topol. 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 Aaron Topol. The network helps show where Aaron Topol may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron Topol, 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 | 2014 | 297 | |
| 2 | 2022 | 97 | |
| 3 | 2021 | 59 | |
| 4 | 2022 | 59 | |
| 5 | 2015 | 43 | |
| 6 | 2021 | 41 | |
| 7 | 2015 | 34 | |
| 8 | 2013 | 27 | |
| 9 | 2022 | 22 | |
| 10 | 2015 | 21 | |
| 11 | 2015 | 6 | |
| 12 | 2020 | 1 |
About Aaron Topol
Aaron Topol is a scholar working on Molecular Biology, Biomedical Engineering, Infectious Diseases, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 707 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), SARS-CoV-2 detection and testing (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Biosensors and Analytical Detection (3 papers), CRISPR and Genetic Engineering (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (69 citations), Infectious Diseases (240 citations), Biological Psychiatry (24 citations), Aging (16 citations) and Modeling and Simulation (31 citations). Aaron Topol has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Kristen Brennand, Ian Ladran, Krista R. Wigginton, Ngoc Tran, Marlene K. Wolfe, Alexandria B. Boehm, Gang Fang, Jeffrey N. Savas, Nguyen Tran and Yeong Ho Kim. Their work appears in journals such as Journal of Visualized Experiments, WIREs Systems Biology and Medicine, Nature Communications, Translational Psychiatry and mSystems.
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.