Scott Noggle

8.0k citations
72 papers · 5.6k · 1 hit paper · h-index 34

Impact in

Papers in

Scott Noggle

71 papers receiving 5.5k citations

Scott Noggle's Hit Papers

Efficient introduction of specific homozygous and heterozygous mutations using CRISPR/Cas9 2016 · 719 citations
7190+3+6Years since publication200400600

Peers

Scott Noggle
Comparison fields: 5 of 131
  • Developmental Neuroscience 515
  • Aging 217
  • Cellular and Molecular Neuroscience 1.1k
  • Molecular Biology 3.9k
  • Neurology 450
Replace Ajamete Kaykas with:
Ajamete Kaykas United States
Justin K. Ichida United States
Naihe Jing China
Luciano Conti Italy
Joshua J. Breunig United States
Matthew Zimmer United States
Kai Schönig Germany
Kenian Chen United States
Florian T. Merkle United States
Paul Skehel United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Scott Noggle

Since Specialization
Citations

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

Fields of papers citing papers by Scott Noggle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient introduction of specific homozygous and heterozygous mutations using CRISPR/Cas9
Hit paper breakdown →
2016719
2 2016370
3 2014362
4 2017292
5 2012217
6 2015209
7 2003201
8 2004199
9 2018191
10 2021187
11 2014186
12 2005165
13 2011160
14 2014151
15 2017135
16 2020132
17 2006129
18 2003123
19 2016120
20 2003112

About Scott Noggle

Scott Noggle is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Physiology and Aging, having authored 72 papers that have together received 5.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (34 papers), CRISPR and Genetic Engineering (24 papers), Alzheimer's disease research and treatments (9 papers), 3D Printing in Biomedical Research (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Developmental Neuroscience (515 citations), Aging (217 citations), Cellular and Molecular Neuroscience (1.1k citations), Molecular Biology (3.9k citations) and Neurology (450 citations). Scott Noggle has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Andrew A. Sproul, Samson Jacob, Brian G. Condie, Dominik Paquet, Matthew Zimmer, Shaun Teo, Marc Tessier‐Lavigne, Dylan Kwart, Andrew Gregg and Maisam M. Mitalipova. Their work appears in journals such as Stem Cells, Cell stem cell, Nature, Stem Cell Research and Nature Neuroscience.

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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