Peter Deng

1.4k citations
21 papers · 1.1k · h-index 14

Impact in

Papers in

Peter Deng

19 papers receiving 1.1k citations

Peers

Peter Deng
Comparison fields: 5 of 93
  • Genetics 146
  • Developmental Neuroscience 43
  • Molecular Biology 636
  • Cellular and Molecular Neuroscience 142
  • Genetics 167
Replace Pierre Bérubé with:
Pierre Bérubé Canada
Björn Brändl Germany
Kraig M. Theriault United States
Julien Côme France
Lauren K. McHenry United States
Monika Piwecka Poland
Rebecca Petri Sweden
Teruyo Tanabe Japan
Xi Lin United States
E. Hilary Gustafson Germany
Peter Deng relative to Pierre Bérubé Canada Pierre Bérubé's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Deng

Since Specialization
Citations

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

Fields of papers citing papers by Peter Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Deng. 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 Deng. The network helps show where Peter Deng may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Deng, 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 Deng Line = papers co-authored together Peter Deng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014430
2 2016154
3 201979
4 201662
5 201655
6 201947
7 202045
8 201943
9 201539
10 202138
11 201636
12 202335
13 201922
14 202214
15 20197
16 20214
17 20224
18 20161
19 20211
20 20250

About Peter Deng

Peter Deng is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Genetics and Developmental Neuroscience, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (7 papers), CRISPR and Genetic Engineering (6 papers), Mesenchymal stem cell research (5 papers), Genetic Syndromes and Imprinting (3 papers), Pluripotent Stem Cells Research (2 papers), Lysosomal Storage Disorders Research (2 papers), Nerve injury and regeneration (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Genetics (146 citations), Developmental Neuroscience (43 citations), Molecular Biology (636 citations), Cellular and Molecular Neuroscience (142 citations) and Genetics (167 citations). Peter Deng has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Kyle D. Fink, Jan A. Nolta, Johnathon David Anderson, Geralyn Annett, David Jay Segal, Julian A. N. M. Halmai, Joseph S. Anderson, Kari Pollock, Henriette O’Geen and Abigail S. Yu. Their work appears in journals such as Molecular Therapy, Cell Transplantation, Biochemical and Biophysical Research Communications, Frontiers in Molecular Neuroscience and Science.

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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