Joshua B. Black

1.4k total citations
9 papers, 964 citations indexed

About

Joshua B. Black is a scholar working on Molecular Biology, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Joshua B. Black has authored 9 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Aging and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Joshua B. Black's work include CRISPR and Genetic Engineering (8 papers), Pluripotent Stem Cells Research (6 papers) and RNA and protein synthesis mechanisms (3 papers). Joshua B. Black is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), Pluripotent Stem Cells Research (6 papers) and RNA and protein synthesis mechanisms (3 papers). Joshua B. Black collaborates with scholars based in United States and Germany. Joshua B. Black's co-authors include Charles A. Gersbach, Isaac B. Hilton, Pratiksha I. Thakore, Timothy E. Reddy, Tyler S. Klann, Gregory E. Crawford, Alexias Safi, Malathi Chellappan, Lingyun Song and Hong‐Gang Wang and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Cell stem cell.

In The Last Decade

Joshua B. Black

9 papers receiving 948 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joshua B. Black United States	8	887	182	60	57	46	9	964
Ramu Gopalappa South Korea	7	951 1.1×	335 1.8×	55 0.9×	41 0.7×	57 1.2×	9	1.0k
Nicola A. Kearns United States	7	798 0.9×	135 0.7×	82 1.4×	58 1.0×	48 1.0×	10	858
Katherine M. Lelli United States	7	874 1.0×	170 0.9×	67 1.1×	76 1.3×	28 0.6×	8	967
Xinde Hu China	12	877 1.0×	270 1.5×	37 0.6×	70 1.2×	28 0.6×	14	967
Meizhu Bai China	10	603 0.7×	174 1.0×	74 1.2×	35 0.6×	84 1.8×	15	737
Shaun Teo United States	4	686 0.8×	170 0.9×	93 1.6×	48 0.8×	31 0.7×	4	784
Yacine Chérifi France	11	825 0.9×	282 1.5×	57 0.9×	71 1.2×	55 1.2×	21	1.0k
Gokul N. Ramadoss United States	5	481 0.5×	90 0.5×	35 0.6×	38 0.7×	52 1.1×	6	644

Countries citing papers authored by Joshua B. Black

Since Specialization

Citations

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

Fields of papers citing papers by Joshua B. Black

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua B. Black. 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 Joshua B. Black. The network helps show where Joshua B. Black may publish in the future.

Co-authorship network of co-authors of Joshua B. Black

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua B. Black. A scholar is included among the top collaborators of Joshua B. Black 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 Joshua B. Black. Joshua B. Black is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Black, Joshua B., Alejandro Barrera, Susan A. Berry, et al.. (2025). Activation of the imprinted Prader-Willi syndrome locus by CRISPR-based epigenome editing. Cell Genomics. 5(2). 100770–100770. 4 indexed citations

Black, Joshua B., Alejandro Barrera, Tyler S. Klann, et al.. (2020). Master Regulators and Cofactors of Human Neuronal Cell Fate Specification Identified by CRISPR Gene Activation Screens. Cell Reports. 33(9). 108460–108460. 49 indexed citations

Black, Joshua B., Tyler S. Klann, Christopher E. Nelson, et al.. (2019). Targeted transcriptional modulation with type I CRISPR–Cas systems in human cells. Nature Biotechnology. 37(12). 1493–1501. 65 indexed citations

Klann, Tyler S., Joshua B. Black, & Charles A. Gersbach. (2018). CRISPR-based methods for high-throughput annotation of regulatory DNA. Current Opinion in Biotechnology. 52. 32–41. 12 indexed citations

Black, Joshua B. & Charles A. Gersbach. (2018). Synthetic transcription factors for cell fate reprogramming. Current Opinion in Genetics & Development. 52. 13–21. 19 indexed citations

Klann, Tyler S., Joshua B. Black, Malathi Chellappan, et al.. (2017). CRISPR–Cas9 epigenome editing enables high-throughput screening for functional regulatory elements in the human genome. Nature Biotechnology. 35(6). 561–568. 285 indexed citations

Black, Joshua B., Pablo Pérez‐Piñera, & Charles A. Gersbach. (2017). Mammalian Synthetic Biology: Engineering Biological Systems. Annual Review of Biomedical Engineering. 19(1). 249–277. 42 indexed citations

Thakore, Pratiksha I., Joshua B. Black, Isaac B. Hilton, & Charles A. Gersbach. (2016). Editing the epigenome: technologies for programmable transcription and epigenetic modulation. Nature Methods. 13(2). 127–137. 319 indexed citations

Black, Joshua B., Andrew F. Adler, Hong‐Gang Wang, et al.. (2016). Targeted Epigenetic Remodeling of Endogenous Loci by CRISPR/Cas9-Based Transcriptional Activators Directly Converts Fibroblasts to Neuronal Cells. Cell stem cell. 19(3). 406–414. 169 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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