Peter Pasceri
Impact in
- Developmental Neuroscience top 5%
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders
- Virus-based gene therapy research
Papers in
-
- CRISPR and Genetic Engineering 13
- RNA Interference and Gene Delivery 7
- Pluripotent Stem Cells Research 5
- Renal and related cancers 2
- Genetics 17
- Genetics and Neurodevelopmental Disorders 7
- Virus-based gene therapy research 6
- Animal Genetics and Reproduction 3
- Co-authors
- James Ellis (24 shared papers)Janet Rossant (4 shared papers)Aaron Cheung (5 shared papers)Akitsu Hotta (5 shared papers)Tadeo Thompson (4 shared papers)Natalie Farra (3 shared papers)Stephanie Chin (1 shared paper)Félix Ratjen (1 shared paper)
- Journals
- Blood (4 papers)Molecular Therapy (3 papers)PLoS ONE (2 papers)Development (2 papers)Nature Methods (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Peter Pasceri
28 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 91
- Developmental Neuroscience 112
- Genetics 686
- Molecular Biology 1.5k
- Cognitive Neuroscience 245
- Aging 21
Countries citing papers authored by Peter Pasceri
This map shows the geographic impact of Peter Pasceri'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 Peter Pasceri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Pasceri more than expected).
Fields of papers citing papers by Peter Pasceri
This network shows the impact of papers produced by Peter Pasceri. 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 Peter Pasceri. The network helps show where Peter Pasceri may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Pasceri, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 328 | |
| 2 | 2009 | 237 | |
| 3 | 2011 | 213 | |
| 4 | 2019 | 133 | |
| 5 | 1995 | 123 | |
| 6 | 2004 | 104 | |
| 7 | 2012 | 98 | |
| 8 | 2015 | 78 | |
| 9 | 2009 | 68 | |
| 10 | 2009 | 66 | |
| 11 | 2019 | 65 | |
| 12 | 1995 | 64 | |
| 13 | 2012 | 60 | |
| 14 | 2019 | 57 | |
| 15 | 1989 | 57 | |
| 16 | 1999 | 48 | |
| 17 | 2020 | 45 | |
| 18 | 1998 | 31 | |
| 19 | 2004 | 28 | |
| 20 | 2000 | 19 |
About Peter Pasceri
Peter Pasceri is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), Genetics and Neurodevelopmental Disorders (7 papers), RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (6 papers), Pluripotent Stem Cells Research (5 papers), Animal Genetics and Reproduction (3 papers), Autism Spectrum Disorder Research (3 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Developmental Neuroscience (112 citations), Genetics (686 citations), Molecular Biology (1.5k citations), Cognitive Neuroscience (245 citations) and Aging (21 citations). Peter Pasceri has collaborated with scholars based in Canada, United States and France. Frequent co-authors include James Ellis, Janet Rossant, Aaron Cheung, Akitsu Hotta, Tadeo Thompson, Natalie Farra, Stephanie Chin, Félix Ratjen, Amy P. Wong and Ling‐Jun Huan. Their work appears in journals such as Blood, Molecular Therapy, PLoS ONE, Development and Nature Methods.
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.