Kate E. Galloway

743 total citations
21 papers, 308 citations indexed

About

Kate E. Galloway is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Kate E. Galloway has authored 21 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Genetics. Recurrent topics in Kate E. Galloway's work include CRISPR and Genetic Engineering (13 papers), Pluripotent Stem Cells Research (8 papers) and Gene Regulatory Network Analysis (8 papers). Kate E. Galloway is often cited by papers focused on CRISPR and Genetic Engineering (13 papers), Pluripotent Stem Cells Research (8 papers) and Gene Regulatory Network Analysis (8 papers). Kate E. Galloway collaborates with scholars based in United States, United Kingdom and Germany. Kate E. Galloway's co-authors include Christina D. Smolke, Christopher P. Johnstone, Yvonne Y. Chen, Elisa Franco, Justin K. Ichida, Yingxiao Shi, Berislav V. Zloković, Yichen Li, Kassandra Kisler and Robert H. Chow and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Reviews Molecular Cell Biology.

In The Last Decade

Kate E. Galloway

18 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kate E. Galloway United States	9	273	41	37	26	26	21	308
Mariana Gómez-Schiavon United States	6	285 1.0×	61 1.5×	27 0.7×	14 0.5×	16 0.6×	12	328
Adrien Engel Switzerland	4	189 0.7×	23 0.6×	36 1.0×	23 0.9×	11 0.4×	6	294
A. Sina Booeshaghi United States	8	257 0.9×	16 0.4×	59 1.6×	13 0.5×	23 0.9×	11	375
Amanda Haupt United States	6	283 1.0×	56 1.4×	34 0.9×	17 0.7×	43 1.7×	6	333
Ruian Yang China	7	194 0.7×	26 0.6×	26 0.7×	19 0.7×	39 1.5×	9	258
Marina Sanaki-Matsumiya Japan	5	234 0.9×	25 0.6×	36 1.0×	27 1.0×	12 0.5×	6	288
Ross D. Jones United States	10	213 0.8×	34 0.8×	36 1.0×	12 0.5×	13 0.5×	12	248
Karen Tessmer Germany	5	216 0.8×	33 0.8×	23 0.6×	48 1.8×	11 0.4×	5	250
Leidy D. Caraballo Galva United States	6	231 0.8×	34 0.8×	49 1.3×	31 1.2×	14 0.5×	6	297
Thinh Ngoc Tran United States	7	232 0.8×	13 0.3×	36 1.0×	57 2.2×	24 0.9×	14	302

Countries citing papers authored by Kate E. Galloway

Since Specialization

Citations

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

Fields of papers citing papers by Kate E. Galloway

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate E. Galloway. 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 Kate E. Galloway. The network helps show where Kate E. Galloway may publish in the future.

Co-authorship network of co-authors of Kate E. Galloway

This figure shows the co-authorship network connecting the top 25 collaborators of Kate E. Galloway. A scholar is included among the top collaborators of Kate E. Galloway 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 Kate E. Galloway. Kate E. Galloway 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

O’Shea, Timothy M., et al.. (2025). Compact transcription factor cassettes generate functional, engraftable motor neurons by direct conversion. Cell Systems. 16(4). 101206–101206. 3 indexed citations

Galloway, Kate E., et al.. (2025). Programmable promoter editing for precise control of transgene expression. Nature Biotechnology.

Daniels, Rachel F., et al.. (2025). High-resolution profiling reveals coupled transcriptional and translational regulation of transgenes. Nucleic Acids Research. 53(11). 1 indexed citations

Galloway, Kate E., et al.. (2025). Engineered transcription factor-binding arrays for DNA-based gene expression control in mammalian cells. Trends in biotechnology. 43(8). 2029–2048.

Johnstone, Christopher P., et al.. (2025). Model-guided design of microRNA-based gene circuits supports precise dosage of transgenic cargoes into diverse primary cells. Cell Systems. 16(6). 101269–101269. 3 indexed citations

Rivnay, Jonathan, Ritu Raman, Jacob T. Robinson, et al.. (2025). Integrating bioelectronics with cell-based synthetic biology. Nature Reviews Bioengineering. 3(4). 317–332. 16 indexed citations

Atkinson, Jane C., et al.. (2025). Chemogenetic tuning reveals optimal MAPK signaling for cell-fate programming. Cell Reports. 44(9). 116226–116226. 2 indexed citations

Han, Patrick, et al.. (2025). Proliferation history and transcription factor levels drive direct conversion to motor neurons. Cell Systems. 16(4). 101205–101205. 5 indexed citations

Galloway, Kate E.. (2024). Changes in cell-cycle rate drive diverging cell fates. Nature Reviews Genetics. 25(6). 379–379.

10.

Galloway, Kate E., et al.. (2024). Accelerating Diverse Cell-Based Therapies Through Scalable Design. Annual Review of Chemical and Biomolecular Engineering. 15(1). 267–292. 6 indexed citations

11.

Takahashi, Kei & Kate E. Galloway. (2023). RNA-based controllers for engineering gene and cell therapies. Current Opinion in Biotechnology. 85. 103026–103026. 6 indexed citations

12.

Johnstone, Christopher P. & Kate E. Galloway. (2022). Supercoiling-mediated feedback rapidly couples and tunes transcription. Cell Reports. 41(3). 111492–111492. 49 indexed citations

13.

Johnstone, Christopher P. & Kate E. Galloway. (2021). Engineering cellular symphonies out of transcriptional noise. Nature Reviews Molecular Cell Biology. 22(6). 369–370. 5 indexed citations

14.

Galloway, Kate E., et al.. (2021). Synthetic gene circuits as tools for drug discovery. Trends in biotechnology. 40(2). 210–225. 11 indexed citations

15.

Johnstone, Christopher P., et al.. (2020). Understanding and Engineering Chromatin as a Dynamical System across Length and Timescales. Cell Systems. 11(5). 424–448. 19 indexed citations

16.

Galloway, Kate E., et al.. (2020). Engineering cell fate: Applying synthetic biology to cellular reprogramming. Current Opinion in Systems Biology. 24. 18–31. 15 indexed citations

17.

Galloway, Kate E., Kassandra Kisler, Yichen Li, et al.. (2019). Mitigating Antagonism between Transcription and Proliferation Allows Near-Deterministic Cellular Reprogramming. Cell stem cell. 25(4). 486–500.e9. 38 indexed citations

18.

Franco, Elisa & Kate E. Galloway. (2014). Feedback Loops in Biological Networks. Methods in molecular biology. 1244. 193–214. 2 indexed citations

19.

Galloway, Kate E., Elisa Franco, & Christina D. Smolke. (2013). Dynamically Reshaping Signaling Networks to Program Cell Fate via Genetic Controllers. Science. 341(6152). 1235005–1235005. 55 indexed citations

20.

Chen, Yvonne Y., Kate E. Galloway, & Christina D. Smolke. (2012). Synthetic biology: advancing biological frontiers by building synthetic systems. PubMed. 13(2). 240–240. 62 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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