Kate E. Galloway

767 citations
20 papers · 314 · h-index 8

Impact in

    • CRISPR and Genetic Engineering
    • Gene Regulatory Network Analysis
    • RNA and protein synthesis mechanisms
    • Pluripotent Stem Cells Research
    • Single-cell and spatial transcriptomics
    • Genomics and Chromatin Dynamics
    • Advanced biosensing and bioanalysis techniques

Papers in

    • CRISPR and Genetic Engineering 12
    • Gene Regulatory Network Analysis 8
    • Pluripotent Stem Cells Research 7
    • RNA and protein synthesis mechanisms 4
    • Single-cell and spatial transcriptomics 4
    • RNA Interference and Gene Delivery 3
    • RNA Research and Splicing 2
    • Neuroscience and Neural Engineering 2

Kate E. Galloway

19 papers receiving 310 citations

Peers

Kate E. Galloway
Comparison fields: 5 of 51
  • Biophysics 23
  • Molecular Biology 259
  • Developmental Neuroscience 8
  • Genetics 40
  • Cellular and Molecular Neuroscience 23
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Kate E. Galloway, 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 Kate E. Galloway Line = papers co-authored together Kate E. Galloway links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201263
2 201356
3 202251
4 201938
5 202522
6 202022
7 202113
8 201810
9 20237
10 20247
11 20216
12 20255
13 20253
14 20253
15 20252
16 20142
17 20252
18 20251
19 20251
20 20240

About Kate E. Galloway

Kate E. Galloway is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Biophysics and Information Systems and Management, having authored 20 papers that have together received 314 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Gene Regulatory Network Analysis (8 papers), Pluripotent Stem Cells Research (7 papers), RNA and protein synthesis mechanisms (4 papers), Single-cell and spatial transcriptomics (4 papers), RNA Interference and Gene Delivery (3 papers), Neuroscience and Neural Engineering (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Biophysics (23 citations), Molecular Biology (259 citations), Developmental Neuroscience (8 citations), Genetics (40 citations) and Cellular and Molecular Neuroscience (23 citations). Kate E. Galloway has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Christina D. Smolke, Christopher P. Johnstone, Yvonne Y. Chen, Elisa Franco, Justin K. Ichida, Yingxiao Shi, Yichen Li, Kassandra Kisler, Berislav V. Zloković and Robert H. Chow. Their work appears in journals such as Cell Systems, Cell Reports, Trends in biotechnology, Nature Reviews Molecular Cell Biology and Nucleic Acids Research.

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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