Blake Byers

1.8k citations
7 papers · 1.5k · 1 hit paper · h-index 7

Impact in

Papers in

Blake Byers

7 papers receiving 1.4k citations

Blake Byers's Hit Papers

LRRK2 Mutant iPSC-Derived DA Neurons Demonstrate Increased Susceptibility to Oxidative Stress 2011 · 619 citations
6190+5+10Years since publication200400600

Peers

Blake Byers
Comparison fields: 5 of 66
  • Developmental Neuroscience 94
  • Cellular and Molecular Neuroscience 423
  • Neurology 329
  • Aging 33
  • Molecular Biology 1.0k
Replace Tikva Tako Turetsky with:
Tikva Tako Turetsky Israel
Warren T Kim United States
Raquel Martín‐Ibáñez Spain
Agneta I. Othberg United States
Teresa de Berardinis Italy
Lisa M. Moscoso United States
Daphne Quang United States
Ryosuke Ohsawa Japan
Marie C. Harrisingh United Kingdom
Kagistia Hana Utami Singapore
Blake Byers relative to Tikva Tako Turetsky Israel Tikva Tako Turetsky's profile →
Citations per field
00.5×2×2.9×
Tikva Tako Turetsky · 1×
Citations per year

Countries citing papers authored by Blake Byers

Since Specialization
Citations

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

Fields of papers citing papers by Blake Byers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
LRRK2 Mutant iPSC-Derived DA Neurons Demonstrate Increased Susceptibility to Oxidative Stress
Hit paper breakdown →
2011619
2 2011258
3 2010220
4 2011220
5 200655
6 201254
7 201533

About Blake Byers

Blake Byers is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Genetics and Biomedical Engineering, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Nuclear Receptors and Signaling (2 papers), Molecular Communication and Nanonetworks (1 paper), Animal Genetics and Reproduction (1 paper), Neuroscience and Neural Engineering (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Developmental Neuroscience (94 citations), Cellular and Molecular Neuroscience (423 citations), Neurology (329 citations), Aging (33 citations) and Molecular Biology (1.0k citations). Blake Byers has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Renee A. Reijo Pera, Theo D. Palmer, Branden John Cord, Birgitt Schüele, Kehkooi Kee, Ha Nam Nguyen, Aleksandr Shcheglovitov, Ricardo E. Dolmetsch, William Langston and James Byrne. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Circulation, PLoS ONE, Current Neurology and Neuroscience Reports and Cell stem cell.

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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