Austin Smith

67.8k citations
224 papers · 50.0k indexed · 26 hit papers · h-index 101

Austin Smith

219 papers receiving 49.2k citations

Hit Papers

Human nai...222198820262000201350010001.5k2.0k2.5k

Peers

Austin Smith
Comparison fields: 5 of 171
  • Developmental Neuroscience 3.1k
  • Molecular Biology 42.4k
  • Genetics 4.0k
  • Aging 612
  • Genetics 6.0k
Replace Kazutoshi Takahashi with:
Kazutoshi Takahashi Japan
Shinya Yamanaka Japan
András Nagy Canada
Janet Rossant Canada
Hannes Vogel United States
Douglas A. Melton United States
Hans R. Schöler Germany
Roel Nusse United States
Marius Wernig United States
Amy J. Wagers United States
Austin 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 Smith

Since Specialization
Citations

This map shows the geographic impact of Austin 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 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 Smith more than expected).

Fields of papers citing papers by Austin Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20239
4 20231
5 202210
6 202131
7 201968
8 2018142
9 2018142
10 201827
11 2017196
12 20176
13 201526
14 2012305
15 201223
16
Klf4 reverts developmentally programmed restriction of ground state pluripotencybreakdown →
2009584
17 2009488
18 200998
19 200845
20
Paracrine induction of stem cell renewal by LIF-deficient cells
19983

About Austin Smith

Austin Smith is a scholar working on Developmental Neuroscience, Molecular Biology and Aging, having authored 224 papers that have together received 50.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (167 papers), CRISPR and Genetic Engineering (109 papers), Renal and related cancers (48 papers), 3D Printing in Biomedical Research (27 papers), Neurogenesis and neuroplasticity mechanisms (24 papers), Gene Regulatory Network Analysis (12 papers), Biomedical Ethics and Regulation (11 papers) and Animal Genetics and Reproduction (11 papers). The work is most often cited by research in Developmental Neuroscience (3.1k citations), Molecular Biology (42.4k citations) and Genetics (4.0k citations). Austin 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, Hitoshi Niwa, Jason Wray, Morag Robertson and Ge Guo. Their work appears in journals such as Development, Cell stem cell, Cell, Stem Cell Reports and Nature.

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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