Allan Acab

2.1k citations
8 papers · 1.3k · 1 hit paper · h-index 7

Impact in

Papers in

    • Pluripotent Stem Cells Research 4
    • CRISPR and Genetic Engineering 2
    • Genetics and Neurodevelopmental Disorders 3

Allan Acab

8 papers receiving 1.3k citations

Allan Acab's Hit Papers

A Model for Neural Development and Treatment of Rett Syndrome Using Human Induced Pluripotent Stem Cells 2010 · 968 citations
9680+5+10Years since publication250500750

Peers

Allan Acab
Comparison fields: 5 of 80
  • Developmental Neuroscience 191
  • Cellular and Molecular Neuroscience 297
  • Genetics 422
  • Molecular Biology 939
  • Cognitive Neuroscience 258
Replace Christopher Patzke with:
Christopher Patzke United States
Gaia Colasante Italy
Nadja Zeltner United States
Valeswara‐Rao Gazula United States
Jacque Pak Kan Ip Hong Kong
Michael W. Nestor United States
Aaron Gordon United States
Asif Maroof United States
Bruna Paulsen Brazil
Galina Schmunk United States
Allan Acab relative to Christopher Patzke United States Christopher Patzke's profile →
Citations per field
00.5×1.7×
Christopher Patzke · 1×
Citations per year

Countries citing papers authored by Allan Acab

Since Specialization
Citations

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

Fields of papers citing papers by Allan Acab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
A Model for Neural Development and Treatment of Rett Syndrome Using Human Induced Pluripotent Stem Cells
Hit paper breakdown →
2010968
2 2016129
3 202073
4 200960
5 201438
6 201229
7 201517
8 20216

About Allan Acab

Allan Acab is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Genetics and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Autism Spectrum Disorder Research (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), CRISPR and Genetic Engineering (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Acute Myeloid Leukemia Research (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Developmental Neuroscience (191 citations), Cellular and Molecular Neuroscience (297 citations), Genetics (422 citations), Molecular Biology (939 citations) and Cognitive Neuroscience (258 citations). Allan Acab has collaborated with scholars based in United States and Brazil. Frequent co-authors include Alysson R. Muotri, Cassiano Carromeu, Diana Yu, Maria C. Marchetto, Yangling Mu, Fred H. Gage, G Yeo, Gong Chen, Cleber A. Trujillo and Thanathom Chailangkarn. Their work appears in journals such as Neurotherapeutics, Cell, PLoS ONE, Proceedings of the National Academy of Sciences and EMBO Molecular Medicine.

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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