Peter Pasceri

2.8k citations
28 papers · 1.9k indexed · h-index 19
  • Genetics top 5%
    • Genetics and Neurodevelopmental Disorders 8
    • Virus-based gene therapy research 6
    • Animal Genetics and Reproduction 3
    • CRISPR and Genetic Engineering 14
    • RNA Interference and Gene Delivery 7
    • Pluripotent Stem Cells Research 5
    • Epigenetics and DNA Methylation 2
    • Autism Spectrum Disorder Research 4
  • Aging top 10%

Peter Pasceri

28 papers receiving 1.9k citations

Peers

Peter Pasceri
Comparison fields: 5 of 90
  • Developmental Neuroscience 111
  • Genetics 693
  • Molecular Biology 1.4k
  • Cognitive Neuroscience 240
  • Aging 19
Replace Renée V. Hoch with:
Renée V. Hoch United States
Heather E. McDermid Canada
Fiorella Gurrieri Italy
Clemencia Colmenares United States
Grazia M.S. Mancini Netherlands
Christophe Philippe France
Denise Malicki United States
Francesca Ariani Italy
Ha Nam Nguyen United States
Ilaria Meloni Italy
Peter Pasceri relative to Renée V. Hoch United States Renée V. Hoch's profile →
Citations per field
00.5×2.8×
Renée V. Hoch · 1×
Citations per year

Countries citing papers authored by Peter Pasceri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Peter Pasceri Line = papers co-authored together Peter Pasceri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20238
2 202045
3 201951
4 2019122
5 201960
6 201573
7 20125
8 201291
9 2012308
10 201259
11 2011208
12 2009225
13 200964
14 200962
15 20088
16 200428
17 200496
18 200017
19 19983
20 1995117

About Peter Pasceri

Peter Pasceri is a scholar working on Genetics, Developmental Neuroscience, Developmental Biology, Molecular Biology and Cognitive Neuroscience, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (14 papers), Genetics and Neurodevelopmental Disorders (8 papers), RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (6 papers), Pluripotent Stem Cells Research (5 papers), Autism Spectrum Disorder Research (4 papers), Animal Genetics and Reproduction (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Developmental Neuroscience (111 citations), Genetics (693 citations), Molecular Biology (1.4k citations), Cognitive Neuroscience (240 citations) and Aging (19 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, Ling‐Jun Huan, Christine E. Bear and Amy P. Wong. Their work appears in journals such as Blood, Molecular Therapy, Development, PLoS ONE 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026