Thomas M. Norman

7.4k total citations · 6 hit papers
23 papers, 4.0k citations indexed

About

Thomas M. Norman is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Thomas M. Norman has authored 23 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Biophysics. Recurrent topics in Thomas M. Norman's work include Single-cell and spatial transcriptomics (14 papers), CRISPR and Genetic Engineering (10 papers) and Gene Regulatory Network Analysis (7 papers). Thomas M. Norman is often cited by papers focused on Single-cell and spatial transcriptomics (14 papers), CRISPR and Genetic Engineering (10 papers) and Gene Regulatory Network Analysis (7 papers). Thomas M. Norman collaborates with scholars based in United States, United Kingdom and Austria. Thomas M. Norman's co-authors include Jonathan S. Weissman, Richard Losick, Britt Adamson, Oren Parnas, Atray Dixit, Aviv Regev, Marco Jost, Johan Paulsson, Nathan D. Lord and Max A. Horlbeck and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Thomas M. Norman

23 papers receiving 4.0k citations

Hit Papers

Perturb-Seq: Dissecting Molecular Circuits with Scalable ... 2016 2026 2019 2022 2016 2016 2022 2022 2022 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas M. Norman United States 19 3.5k 794 391 353 316 23 4.0k
Ana Pombo United Kingdom 41 7.0k 2.0× 1.1k 1.4× 278 0.7× 490 1.4× 589 1.9× 92 8.0k
Andrew C. Adey United States 28 5.5k 1.6× 1000 1.3× 397 1.0× 1.3k 3.6× 661 2.1× 53 7.0k
Tamar Hashimshony Israel 15 2.2k 0.6× 276 0.3× 171 0.4× 496 1.4× 451 1.4× 25 3.0k
Tobias Ragoczy United States 14 5.9k 1.7× 1.2k 1.5× 120 0.3× 423 1.2× 357 1.1× 20 7.0k
Asim Siddiqui Canada 16 3.0k 0.9× 372 0.5× 256 0.7× 815 2.3× 546 1.7× 30 4.3k
Joseph Chang United States 12 2.5k 0.7× 754 0.9× 1.3k 3.4× 212 0.6× 270 0.9× 13 4.4k
Magda Bienko Sweden 24 3.6k 1.0× 388 0.5× 213 0.5× 713 2.0× 206 0.7× 48 3.8k
Björn Reinius Sweden 22 3.5k 1.0× 794 1.0× 179 0.5× 961 2.7× 390 1.2× 37 4.6k
James K. Nuñez United States 12 3.3k 0.9× 620 0.8× 82 0.2× 241 0.7× 159 0.5× 16 3.6k
Britt Adamson United States 20 6.8k 2.0× 984 1.2× 322 0.8× 800 2.3× 447 1.4× 25 7.5k

Countries citing papers authored by Thomas M. Norman

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Norman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Norman. 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 Thomas M. Norman. The network helps show where Thomas M. Norman may publish in the future.

Co-authorship network of co-authors of Thomas M. Norman

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

All Works

20 of 20 papers shown
1.
Southard, Kaden M., et al.. (2025). Comprehensive transcription factor perturbations recapitulate fibroblast transcriptional states. Nature Genetics. 57(9). 2323–2334. 1 indexed citations
2.
Southard, Kaden M., et al.. (2024). Multiome Perturb-seq unlocks scalable discovery of integrated perturbation effects on the transcriptome and epigenome. Cell Systems. 16(1). 101161–101161. 8 indexed citations
3.
Smith, Melanie H., Vianne R. Gao, Edward F. DiCarlo, et al.. (2023). Drivers of heterogeneity in synovial fibroblasts in rheumatoid arthritis. Nature Immunology. 24(7). 1200–1210. 86 indexed citations breakdown →
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.
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 →
7.
Bock, Christoph, Paul Datlinger, Florence M. Chardon, et al.. (2022). High-content CRISPR screening. Nature Reviews Methods Primers. 2(1). 276 indexed citations breakdown →
8.
Replogle, Joseph M., Thomas M. Norman, Albert Xu, et al.. (2020). Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing. Nature Biotechnology. 38(8). 954–961. 229 indexed citations
9.
Jost, Marco, Reuben A. Saunders, Max A. Horlbeck, et al.. (2020). Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs. Nature Biotechnology. 38(3). 355–364. 111 indexed citations
10.
Norman, Thomas M., Max A. Horlbeck, Joseph M. Replogle, et al.. (2019). Exploring genetic interaction manifolds constructed from rich single-cell phenotypes. Science. 365(6455). 786–793. 156 indexed citations
11.
Chan, Michelle M., Zachary D. Smith, Stefanie Grosswendt, et al.. (2019). Molecular recording of mammalian embryogenesis. Nature. 570(7759). 77–82. 225 indexed citations
12.
Hilfinger, Andreas, Thomas M. Norman, & Johan Paulsson. (2016). Exploiting Natural Fluctuations to Identify Kinetic Mechanisms in Sparsely Characterized Systems. Cell Systems. 2(4). 251–259. 24 indexed citations
13.
Adamson, Britt, Thomas M. Norman, Marco Jost, et al.. (2016). A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response. Cell. 167(7). 1867–1882.e21. 690 indexed citations breakdown →
14.
Dixit, Atray, Oren Parnas, Jenny Chen, et al.. (2016). Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens. Cell. 167(7). 1853–1866.e17. 1027 indexed citations breakdown →
15.
Hilfinger, Andreas, Thomas M. Norman, Glenn Vinnicombe, & Johan Paulsson. (2016). Constraints on Fluctuations in Sparsely Characterized Biological Systems. Physical Review Letters. 116(5). 58101–58101. 34 indexed citations
16.
Norman, Thomas M., Nathan D. Lord, Johan Paulsson, & Richard Losick. (2013). Memory and modularity in cell-fate decision making. Nature. 503(7477). 481–486. 184 indexed citations
17.
Chai, Yunrong, Thomas M. Norman, Roberto Kolter, & Richard Losick. (2011). Evidence that metabolism and chromosome copy number control mutually exclusive cell fates in Bacillus subtilis. The EMBO Journal. 30(7). 1402–1413. 65 indexed citations
18.
Chai, Yunrong, Thomas M. Norman, Roberto Kolter, & Richard Losick. (2010). An epigenetic switch governing daughter cell separation in Bacillus subtilis. Genes & Development. 24(8). 754–765. 142 indexed citations
19.
Chastanet, Arnaud, Dennis Vitkup, Guo‐Cheng Yuan, et al.. (2010). Broadly heterogeneous activation of the master regulator for sporulation in Bacillus subtilis. Proceedings of the National Academy of Sciences. 107(18). 8486–8491. 112 indexed citations
20.
Peek, Michael, Thomas M. Norman, Claire Morgan, Robert Markham, & Ian S. Fraser. (1988). The chick chorioallantoic membrane assay: an improved technique for the study of angiogenic activity. Experimental Pathology. 34(1). 35–40. 11 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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