Pratik Saxena
- Cancer Research top 10%
- Molecular Biology top 10%
- CRISPR and Genetic Engineering 6
- Pluripotent Stem Cells Research 5
- Gene Regulatory Network Analysis 2
- Extracellular vesicles in disease 1
- Biomedical Engineering top 10%
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- Pancreatic function and diabetes 5
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- Diabetes and associated disorders 2
- Virus-based gene therapy research 1
- Mesenchymal stem cell research 1
- Co-authors
- Ghislaine Charpin‐El HamriMartin FusseneggerDaniel BojarGiorgio RizziKelly R. TanRyosuke KojimaSimon AusländerMarie Daoud El‐Baba
- Journals
- Science (2 papers)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- SwitzerlandFranceChina
In The Last Decade
Pratik Saxena
16 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cancer Research 282
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 129
- Biomedical Engineering 257
- Biotechnology 47
Countries citing papers authored by Pratik Saxena
This map shows the geographic impact of Pratik Saxena'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 Pratik Saxena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratik Saxena more than expected).
Fields of papers citing papers by Pratik Saxena
This network shows the impact of papers produced by Pratik Saxena. 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 Pratik Saxena. The network helps show where Pratik Saxena may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pratik Saxena, 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 | 2024 | 2 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 10 | |
| 4 | 2020 | 27 | |
| 5 | 2020 | 8 | |
| 6 | 2020 | 143 | |
| 7 | 2019 | 44 | |
| 8 | Designer exosomes produced by implanted cells intracerebrally deliver therapeutic cargo for Parkinson’s disease treatmentbreakdown → | 2018 | 585 |
| 9 | 2017 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2016 | 108 | |
| 12 | 2016 | 50 | |
| 13 | 2016 | 66 | |
| 14 | 2016 | 172 | |
| 15 | 2015 | 17 | |
| 16 | 2014 | 10 |
About Pratik Saxena
Pratik Saxena is a scholar working on Developmental Neuroscience, Sensory Systems and Molecular Biology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (5 papers), Pancreatic function and diabetes (5 papers), Gene Regulatory Network Analysis (2 papers), Diabetes and associated disorders (2 papers), Virus-based gene therapy research (1 paper), Extracellular vesicles in disease (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Cancer Research (282 citations), Molecular Biology (1.0k citations) and Cellular and Molecular Neuroscience (129 citations). Pratik Saxena has collaborated with scholars based in Switzerland, France and China. Frequent co-authors include Ghislaine Charpin‐El Hamri, Martin Fussenegger, Martin Fussenegger, Daniel Bojar, Giorgio Rizzi, Kelly R. Tan, Ryosuke Kojima, Simon Ausländer, Marie Daoud El‐Baba and Mingqi Xie. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids 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.