Julia V. Perederiy

1.4k citations
8 papers · 1.0k indexed · 1 hit paper · h-index 8
Topics
Genetics and Neurodevelopmental Disorders (3 papers)Neurogenesis and neuroplasticity mechanisms (3 papers)Autism Spectrum Disorder Research (2 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Julia V. Perederiy

8 papers receiving 1.0k citations

Hit Papers

Linkage, Association, and Gene-Expression Analyses Identi...20082026201420202008200400600

Peers

Julia V. Perederiy
Comparison fields: 5 of 77
  • Genetics 505
  • Cognitive Neuroscience 499
  • Molecular Biology 441
  • Cellular and Molecular Neuroscience 172
  • Developmental Neuroscience 134
Replace Hongmei Dong with:
Hongmei Dong China
Jamee M. Bomar United States
Fabien Fauchereau France
Pelagia Deriziotis Netherlands
Fu‐Chin Liu Taiwan
Lisa I. Sonnenblick United States
Nuala Sykes United Kingdom
Lili C. Kudo United States
Ye Wu United States
Camille W. Brune United States
Julia V. Perederiy relative to Hongmei Dong China Hongmei Dong's profile →
Citations per field
00.5×1.5×
Hongmei Dong · 1×
Citations per year

Countries citing papers authored by Julia V. Perederiy

Since Specialization
Citations

This map shows the geographic impact of Julia V. Perederiy'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 Julia V. Perederiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia V. Perederiy more than expected).

Fields of papers citing papers by Julia V. Perederiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia V. Perederiy. 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 Julia V. Perederiy. The network helps show where Julia V. Perederiy may publish in the future.

Co-authorship network of co-authors of Julia V. Perederiy

This figure shows the co-authorship network connecting the top 25 collaborators of Julia V. Perederiy. A scholar is included among the top collaborators of Julia V. Perederiy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia V. Perederiy. Julia V. Perederiy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 12
2 43
3 30
4 31
5 133
6 26
7
Linkage, Association, and Gene-Expression Analyses Identify CNTNAP2 as an Autism-Susceptibility Genebreakdown →
603
8 145

About Julia V. Perederiy

Julia V. Perederiy is a scholar working on Developmental Neuroscience, Cognitive Neuroscience and Pharmacy, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Developmental Neuroscience (134 citations), Cognitive Neuroscience (499 citations) and Genetics (505 citations). Julia V. Perederiy has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Daniel H. Geschwind, Brett S. Abrahams, Gary L. Westbrook, Michael Wigler, Stanley F. Nelson, Maricela Alarcón, Jamee M. Bomar, Jennifer Stone, Jonathan Sebat and Rita M. Cantor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

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.

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