Josh Tycko

2.6k total citations
20 papers, 965 citations indexed

About

Josh Tycko is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Josh Tycko has authored 20 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Oncology. Recurrent topics in Josh Tycko's work include CRISPR and Genetic Engineering (11 papers), RNA and protein synthesis mechanisms (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Josh Tycko is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), RNA and protein synthesis mechanisms (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Josh Tycko collaborates with scholars based in United States, United Kingdom and Switzerland. Josh Tycko's co-authors include Patrick D. Hsu, Vic E. Myer, Michael C. Bassik, Gaelen T. Hess, David Yao, Lacramioara Bintu, April R. Giles, James M. Wilson, Laura Bryant and Jesse L. Rodriguez and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Josh Tycko

19 papers receiving 949 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Josh Tycko United States	12	839	255	100	74	66	20	965
Tony P. Huang United States	11	1.2k 1.4×	342 1.3×	95 0.9×	87 1.2×	59 0.9×	11	1.3k
Connor A. Tsuchida United States	6	647 0.8×	138 0.5×	114 1.1×	59 0.8×	77 1.2×	6	749
Kathleen A. Christie United Kingdom	11	1.1k 1.3×	276 1.1×	142 1.4×	99 1.3×	34 0.5×	15	1.2k
Meirui An United States	5	824 1.0×	255 1.0×	88 0.9×	64 0.9×	42 0.6×	6	883
Xiaoshu Xu United States	10	1.1k 1.4×	241 0.9×	200 2.0×	96 1.3×	34 0.5×	13	1.3k
Aamir Mir United States	15	1.2k 1.4×	294 1.2×	69 0.7×	143 1.9×	49 0.7×	18	1.2k
Ignazio Maggio Netherlands	12	943 1.1×	354 1.4×	79 0.8×	104 1.4×	55 0.8×	12	983
Satomi Banno Japan	7	1.1k 1.3×	331 1.3×	188 1.9×	92 1.2×	28 0.4×	8	1.2k
Jordan Jarjour United States	14	929 1.1×	326 1.3×	89 0.9×	67 0.9×	240 3.6×	21	1.1k
Jose Malagon-Lopez United States	4	1.0k 1.2×	246 1.0×	107 1.1×	144 1.9×	70 1.1×	5	1.1k

Countries citing papers authored by Josh Tycko

Since Specialization

Citations

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

Fields of papers citing papers by Josh Tycko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josh Tycko

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

All Works

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20 of 20 papers shown

Tycko, Josh, et al.. (2025). Cytotoxicity of activator expression in CRISPR-based transcriptional activation systems. Nature Communications. 16(1). 8071–8071.

Tycko, Josh, Binbin Chen, Michael C. Bassik, et al.. (2025). Machine-guided dual-objective protein engineering for deimmunization and therapeutic functions. Cell Systems. 16(7). 101299–101299. 2 indexed citations

Mukund, Adi, Josh Tycko, Stephanie A. Robinson, et al.. (2023). High-throughput functional characterization of combinations of transcriptional activators and repressors. Cell Systems. 14(9). 746–763.e5. 17 indexed citations

Marinov, Georgi K., S. Tansu Bagdatli, Alexandro E. Trevino, et al.. (2023). CasKAS: direct profiling of genome-wide dCas9 and Cas9 specificity using ssDNA mapping. Genome biology. 24(1). 85–85. 4 indexed citations

DelRosso, Nicole, Josh Tycko, Peter Suzuki, et al.. (2023). Large-scale mapping and mutagenesis of human transcriptional effector domains. Nature. 616(7956). 365–372. 72 indexed citations

Bajpai, Vivek K., Tomek Swigut, Jaaved Mohammed, et al.. (2023). A genome-wide genetic screen uncovers determinants of human pigmentation. Science. 381(6658). eade6289–eade6289. 22 indexed citations

Ludwig, Connor, David W. Morgens, Josh Tycko, et al.. (2023). High-throughput discovery and characterization of viral transcriptional effectors in human cells. Cell Systems. 14(6). 482–500.e8. 14 indexed citations

Durrant, Matthew G., Alison Fanton, Josh Tycko, et al.. (2022). Systematic discovery of recombinases for efficient integration of large DNA sequences into the human genome. Nature Biotechnology. 41(4). 488–499. 102 indexed citations

Perez‐Saez, Javier, et al.. (2022). Modeling the efficacy of CRISPR gene drive for snail immunity on schistosomiasis control. PLoS neglected tropical diseases. 16(10). e0010894–e0010894. 5 indexed citations

10.

Tycko, Josh, Virginie Adam, Marco Crosariol, et al.. (2021). Adeno-Associated Virus Vector-Mediated Expression of Antirespiratory Syncytial Virus Antibody Prevents Infection in Mouse Airways. Human Gene Therapy. 32(23-24). 1450–1456. 7 indexed citations

11.

Tycko, Josh, Nicole DelRosso, Gaelen T. Hess, et al.. (2020). High-Throughput Discovery and Characterization of Human Transcriptional Effectors. Cell. 183(7). 2020–2035.e16. 79 indexed citations

12.

Huston, Nicholas C., et al.. (2019). Identification of Guide-Intrinsic Determinants of Cas9 Specificity. The CRISPR Journal. 2(3). 172–185. 16 indexed citations

13.

Tycko, Josh, Yimtubezinash Woldeamanuel, Katharina Klohe, et al.. (2019). Gene drives for schistosomiasis transmission control. PLoS neglected tropical diseases. 13(12). e0007833–e0007833. 25 indexed citations

14.

Tycko, Josh, Luis Barrera, Nicholas C. Huston, et al.. (2018). Pairwise library screen systematically interrogates Staphylococcus aureus Cas9 specificity in human cells. Nature Communications. 9(1). 2962–2962. 27 indexed citations

15.

Hess, Gaelen T., Josh Tycko, David Yao, & Michael C. Bassik. (2017). Methods and Applications of CRISPR-Mediated Base Editing in Eukaryotic Genomes. Molecular Cell. 68(1). 26–43. 175 indexed citations

16.

Tycko, Josh, Mike V. Van, Michael B. Elowitz, & Lacramioara Bintu. (2017). Advancing towards a global mammalian gene regulation model through single-cell analysis and synthetic biology. Current Opinion in Biomedical Engineering. 4. 174–193. 7 indexed citations

17.

Tycko, Josh, Vic E. Myer, & Patrick D. Hsu. (2016). Methods for Optimizing CRISPR-Cas9 Genome Editing Specificity. Molecular Cell. 63(3). 355–370. 235 indexed citations

18.

Tycko, Josh, Jacqueline N. Robinson-Hamm, Chris Wilson, et al.. (2016). 317. Screening S. Aureus CRISPR-Cas9 Paired-Guide RNAs for Efficient Targeted Deletion in Duchenne Muscular Dystrophy. Molecular Therapy. 24. S127–S128. 1 indexed citations

19.

Bermudez, Jessica G., et al.. (2016). Toolbox for Exploring Modular Gene Regulation in Synthetic Biology Training. ACS Synthetic Biology. 5(7). 781–785. 10 indexed citations

20.

Bryant, Laura, April R. Giles, Christian Hinderer, et al.. (2013). Lessons Learned from the Clinical Development and Market Authorization of Glybera. PubMed. 24(2). 55–64. 145 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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