Austin G Smith

68.9k citations
235 papers · 52.8k · 19 hit papers · h-index 103

Impact in

    • Neurogenesis and neuroplasticity mechanisms
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Renal and related cancers
    • Epigenetics and DNA Methylation

Papers in

    • Pluripotent Stem Cells Research 172
    • CRISPR and Genetic Engineering 109
    • Renal and related cancers 50
    • Gene Regulatory Network Analysis 13
    • Single-cell and spatial transcriptomics 13
    • Neurogenesis and neuroplasticity mechanisms 23

Austin G Smith

232 papers receiving 51.4k citations

Austin G Smith's Hit Papers

Human naive epiblast cells possess unrestricted lineage potential 2021 · 262 citations
2620+8+16Years since publication50010001.5k2.0k2.5k

Peers

Austin G Smith
Comparison fields: 5 of 171
  • Developmental Neuroscience 3.2k
  • Molecular Biology 43.2k
  • Genetics 4.0k
  • Aging 600
  • Genetics 6.1k
Replace Kazutoshi Takahashi with:
Kazutoshi Takahashi Japan
Shinya Yamanaka Japan
Janet Rossant Canada
Marius Wernig United States
Douglas A. Melton United States
Philip A. Beachy United States
Hans Robert Schöler Germany
Roel Nusse United States
Alexander Meissner United States
Amy J. Wagers United States
Austin G Smith relative to Kazutoshi Takahashi Japan Kazutoshi Takahashi's profile →
Citations per field
00.5×1.5×
Kazutoshi Takahashi · 1×
Citations per year

Countries citing papers authored by Austin G Smith

Since Specialization
Citations

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

Fields of papers citing papers by Austin G Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Austin G Smith. 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 Austin G Smith. The network helps show where Austin G Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 235 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantitative expression of Oct-3/4 defines differentiation, dedifferentiation or self-renewal of ES cells
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20002960
2
The ground state of embryonic stem cell self-renewal
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20082771
3
Formation of Pluripotent Stem Cells in the Mammalian Embryo Depends on the POU Transcription Factor Oct4
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19982756
4
Functional Expression Cloning of Nanog, a Pluripotency Sustaining Factor in Embryonic Stem Cells
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20032651
5
BMP Induction of Id Proteins Suppresses Differentiation and Sustains Embryonic Stem Cell Self-Renewal in Collaboration with STAT3
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20031729
6
Inhibition of pluripotential embryonic stem cell differentiation by purified polypeptides
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19881531
7
Naive and Primed Pluripotent States
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20091475
8
Changing potency by spontaneous fusion
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20021253
9
Conversion of embryonic stem cells into neuroectodermal precursors in adherent monoculture
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20031236
10
Nanog safeguards pluripotency and mediates germline development
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20071183
11
Altered immune responses in mice lacking inducible nitric oxide synthase
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19951171
12
Embryo-Derived Stem Cells: Of Mice and Men
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20011012
13
Glioma Stem Cell Lines Expanded in Adherent Culture Have Tumor-Specific Phenotypes and Are Suitable for Chemical and Genetic Screens
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2009845
14
Nanog Is the Gateway to the Pluripotent Ground State
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2009815
15
Resetting Transcription Factor Control Circuitry toward Ground-State Pluripotency in Human
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2014787
16
Niche-Independent Symmetrical Self-Renewal of a Mammalian Tissue Stem Cell
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2005731
17 2008672
18
The Transcriptional and Epigenomic Foundations of Ground State Pluripotency
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2012671
19 2008650
20 2007627

About Austin G Smith

Austin G Smith is a scholar working on Molecular Biology, Developmental Neuroscience, Cancer Research, Genetics and Genetics, having authored 235 papers that have together received 52.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (172 papers), CRISPR and Genetic Engineering (109 papers), Renal and related cancers (50 papers), 3D Printing in Biomedical Research (27 papers), Neurogenesis and neuroplasticity mechanisms (23 papers), Gene Regulatory Network Analysis (13 papers), Single-cell and spatial transcriptomics (13 papers) and Biomedical Ethics and Regulation (11 papers). The work is most often cited by research in Developmental Neuroscience (3.2k citations), Molecular Biology (43.2k citations), Genetics (4.0k citations), Aging (600 citations) and Genetics (6.1k citations). Austin G Smith has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Jennifer Nichols, Ian Chambers, Qi‐Long Ying, Hitoshi Niwa, Jun‐ichi Miyazaki, José Silva, Jason P. Wray, Ge Guo, Morag Robertson and Douglas Colby. Their work appears in journals such as Development, Cell stem cell, Cell, Nature and Stem Cell Reports.

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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