Angela N. Pogson

2.5k total citations · 2 hit papers
9 papers, 927 citations indexed

About

Angela N. Pogson is a scholar working on Molecular Biology, Neurology and Developmental Neuroscience. According to data from OpenAlex, Angela N. Pogson has authored 9 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Neurology and 2 papers in Developmental Neuroscience. Recurrent topics in Angela N. Pogson's work include Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers) and Genomics and Chromatin Dynamics (3 papers). Angela N. Pogson is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers) and Genomics and Chromatin Dynamics (3 papers). Angela N. Pogson collaborates with scholars based in United States, Sweden and India. Angela N. Pogson's co-authors include Jonathan S. Weissman, Joseph M. Replogle, Martin Kampmann, Luke A. Gilbert, Alina Guna, Volker Hovestadt, Chen Jin, Manuel D. Leonetti, B Bernstein and James K. Nuñez and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Angela N. Pogson

9 papers receiving 911 citations

Hit Papers

Genome-wide programmable transcriptional memory by CRISPR... 2021 2026 2022 2024 2021 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angela N. Pogson United States 8 829 129 63 54 51 9 927
Martin Del Castillo Velasco‐Herrera United Kingdom 9 925 1.1× 161 1.2× 63 1.0× 63 1.2× 109 2.1× 14 1.1k
M. Behfar Ardehali United States 9 996 1.2× 106 0.8× 93 1.5× 26 0.5× 42 0.8× 9 1.1k
Sharan Janjuha Switzerland 11 627 0.8× 170 1.3× 132 2.1× 30 0.6× 130 2.5× 14 832
Amanda J. Guise United States 13 674 0.8× 52 0.4× 42 0.7× 15 0.3× 81 1.6× 17 833
Anh Leith United States 5 903 1.1× 421 3.3× 127 2.0× 31 0.6× 48 0.9× 5 1.1k
Charalampos Lazaris United States 11 782 0.9× 63 0.5× 76 1.2× 21 0.4× 88 1.7× 14 947
Andrew Seeber Switzerland 20 1.2k 1.4× 94 0.7× 64 1.0× 41 0.8× 106 2.1× 23 1.3k
Julia Tischler Austria 9 881 1.1× 127 1.0× 77 1.2× 15 0.3× 124 2.4× 10 991
Son C. Nguyen United States 20 1.2k 1.4× 205 1.6× 88 1.4× 28 0.5× 70 1.4× 36 1.3k
Tamás Schauer Germany 15 642 0.8× 100 0.8× 45 0.7× 43 0.8× 76 1.5× 36 751

Countries citing papers authored by Angela N. Pogson

Since Specialization
Citations

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

Fields of papers citing papers by Angela N. Pogson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angela N. Pogson. 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 Angela N. Pogson. The network helps show where Angela N. Pogson may publish in the future.

Co-authorship network of co-authors of Angela N. Pogson

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

All Works

9 of 9 papers shown
1.
Nadig, Ajay, Joseph M. Replogle, Angela N. Pogson, et al.. (2025). Transcriptome-wide analysis of differential expression in perturbation atlases. Nature Genetics. 57(5). 1228–1237. 6 indexed citations
2.
Sun, Eric, et al.. (2025). Brain aging and rejuvenation at single-cell resolution. Neuron. 113(1). 82–108. 7 indexed citations
3.
Pogson, Angela N., Eric Sun, Robin W. Yeo, et al.. (2024). CRISPR–Cas9 screens reveal regulators of ageing in neural stem cells. Nature. 634(8036). 1150–1159. 33 indexed citations
4.
Kim, Seungsoo, Ekaterina Morgunova, Sahin Naqvi, et al.. (2024). DNA-guided transcription factor cooperativity shapes face and limb mesenchyme. Cell. 187(3). 692–711.e26. 29 indexed citations
5.
Replogle, Joseph M., Jessica L. Bonnar, Angela N. Pogson, et al.. (2022). Maximizing CRISPRi efficacy and accessibility with dual-sgRNA libraries and optimal effectors. eLife. 11. 52 indexed citations
6.
Guna, Alina, Taylor A. Stevens, Alison J. Inglis, et al.. (2022). MTCH2 is a mitochondrial outer membrane protein insertase. Science. 378(6617). 317–322. 87 indexed citations
7.
Replogle, Joseph M., Reuben A. Saunders, Angela N. Pogson, et al.. (2022). Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq. Cell. 185(14). 2559–2575.e28. 253 indexed citations breakdown →
8.
Nuñez, James K., Chen Jin, J. Zachery Cogan, et al.. (2021). Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing. Cell. 184(9). 2503–2519.e17. 433 indexed citations breakdown →
9.
Manford, Andrew G., et al.. (2021). Ubiquitin-dependent remodeling of the actin cytoskeleton drives cell fusion. Developmental Cell. 56(5). 588–601.e9. 27 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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