Blake Byers

1.7k citations
7 papers · 1.3k · 1 hit paper · h-index 7

Impact in

Papers in

Blake Byers

7 papers receiving 1.3k citations

Hit Papers

LRRK2 Mutant iPSC-Derived DA Neurons Demonstrate Increased Susceptibility to Oxidative Stress 2011 · 571 citations
5710+5+10Years since publication100200300400500

Peers

Blake Byers
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 408
  • Developmental Neuroscience 90
  • Neurology 311
  • Aging 33
  • Molecular Biology 1000
Replace Tikva Turetsky with:
Tikva Turetsky Israel
Oded Behar Israel
Lisa M. Moscoso United States
Miguel Mitne‐Neto Brazil
Daphne Quang United States
Madeline G. Andrews United States
Warren T Kim United States
Maria Teresa Dell’Anno Italy
Yvonne Mica United States
Ken-ichiro Kuwako Japan
Blake Byers relative to Tikva Turetsky Israel Tikva Turetsky's profile →
Citations per field
00.5×2.9×
Tikva 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 →
2011571
2 2011241
3 2011205
4 2010195
5 201249
6 200646
7 201526

About Blake Byers

Blake Byers is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Biomedical Engineering and Genetics, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), CRISPR and Genetic Engineering (2 papers), Nuclear Receptors and Signaling (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Mesenchymal stem cell research (1 paper), Neuroscience and Neural Engineering (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (408 citations), Developmental Neuroscience (90 citations), Neurology (311 citations), Aging (33 citations) and Molecular Biology (1000 citations). Blake Byers has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Renee A. Reijo Pera, Theo D. Palmer, Birgitt Schüle, Branden Cord, Kehkooi Kee, Ha Nam Nguyen, Aleksandr Shcheglovitov, Ricardo E. Dolmetsch, William Langston and Ha Nguyen. Their work appears in journals such as Cell stem cell, Circulation, Current Neurology and Neuroscience Reports, Human Molecular Genetics and PLoS ONE.

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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