Blake Byers

1.7k total citations · 1 hit paper
7 papers, 1.3k citations indexed

About

Blake Byers is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Blake Byers has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Blake Byers's work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (2 papers) and Nuclear Receptors and Signaling (2 papers). Blake Byers is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (2 papers) and Nuclear Receptors and Signaling (2 papers). Blake Byers collaborates with scholars based in United States, Sweden and India. Blake Byers's co-authors include Renee A. Reijo Pera, Birgitt Schüle, Theo D. Palmer, Branden Cord, Kehkooi Kee, Ha Nam Nguyen, Aleksandr Shcheglovitov, Ricardo E. Dolmetsch, James Byrne and Ha Nguyen and has published in prestigious journals such as Circulation, PLoS ONE and NeuroImage.

In The Last Decade

Blake Byers

7 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LRRK2 Mutant iPSC-Derived DA Neurons Demonstrate Increased Susceptibility to Oxidative Stress

2011 571 citations Ha Nguyen, Blake Byers et al. Cell stem cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Blake Byers United States	7	1000	408	311	174	157	7	1.3k
Kyle Wallace United States	12	498 0.5×	307 0.8×	167 0.5×	105 0.6×	180 1.1×	19	995
Tikva Turetsky Israel	9	1.1k 1.1×	375 0.9×	107 0.3×	215 1.2×	203 1.3×	12	1.4k
Silvia Marsala United States	15	543 0.5×	462 1.1×	138 0.4×	97 0.6×	169 1.1×	26	1.1k
Masaomi Koyanagi Japan	13	689 0.7×	381 0.9×	256 0.8×	70 0.4×	90 0.6×	49	1.1k
Alexandra Blak United States	8	1.4k 1.4×	425 1.0×	117 0.4×	189 1.1×	150 1.0×	8	1.6k
Ritchie Ho United States	16	1.2k 1.2×	351 0.9×	622 2.0×	217 1.2×	61 0.4×	22	2.0k
Joel Blanchard United States	11	979 1.0×	199 0.5×	61 0.2×	211 1.2×	145 0.9×	23	1.3k
Anna-Liisa Brownell United States	8	717 0.7×	577 1.4×	202 0.6×	64 0.4×	108 0.7×	10	1.1k
Raquel Martín‐Ibáñez Spain	13	483 0.5×	392 1.0×	125 0.4×	48 0.3×	46 0.3×	18	791
Norbert Topf United States	9	1.2k 1.2×	636 1.6×	64 0.2×	164 0.9×	186 1.2×	10	1.5k

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-authorship network of co-authors of Blake Byers

This figure shows the co-authorship network connecting the top 25 collaborators of Blake Byers. A scholar is included among the top collaborators of Blake Byers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Blake Byers. Blake Byers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Byers, Blake, Hyun Joo Lee, Jia Liu, et al.. (2015). Direct in vivo assessment of human stem cell graft–host neural circuits. NeuroImage. 114. 328–337. 26 indexed citations

2.

Byers, Blake, et al.. (2012). Modeling Parkinson’s Disease Using Induced Pluripotent Stem Cells. Current Neurology and Neuroscience Reports. 12(3). 237–242. 49 indexed citations

3.

Nguyen, Ha, Blake Byers, Branden Cord, et al.. (2011). LRRK2 Mutant iPSC-Derived DA Neurons Demonstrate Increased Susceptibility to Oxidative Stress. Cell stem cell. 8(3). 267–280. 571 indexed citations breakdown →

4.

Byers, Blake, Branden Cord, Ha Nam Nguyen, et al.. (2011). SNCA Triplication Parkinson's Patient's iPSC-derived DA Neurons Accumulate α-Synuclein and Are Susceptible to Oxidative Stress. PLoS ONE. 6(11). e26159–e26159. 241 indexed citations

5.

Rufaihah, Abdul Jalil, Ngan F. Huang, Sina Jamé, et al.. (2011). Endothelial Cells Derived From Human iPSCS Increase Capillary Density and Improve Perfusion in a Mouse Model of Peripheral Arterial Disease. Arteriosclerosis Thrombosis and Vascular Biology. 31(11). e72–9. 205 indexed citations

6.

Panula, Sarita, José V. Medrano, Kehkooi Kee, et al.. (2010). Human germ cell differentiation from fetal- and adult-derived induced pluripotent stem cells. Human Molecular Genetics. 20(4). 752–762. 195 indexed citations

7.

Ashley, Euan A., Jennifer Y. King, Aditya Vailaya, et al.. (2006). Network Analysis of Human In-Stent Restenosis. Circulation. 114(24). 2644–2654. 46 indexed citations

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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