Thomas M. Norman
- Aging top 2%
- Biophysics top 0.5%
- Cell Image Analysis Techniques 5
- Molecular Biology top 2%
- Single-cell and spatial transcriptomics 14
- CRISPR and Genetic Engineering 10
- Gene Regulatory Network Analysis 7
- RNA and protein synthesis mechanisms 2
- Genetics top 2%
- Bacterial Genetics and Biotechnology 5
- Evolution and Genetic Dynamics 3
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- Bacteriophages and microbial interactions 2
- Co-authors
- Jonathan S. WeissmanRichard LosickBritt AdamsonOren ParnasAtray DixitAviv RegevMarco JostJohan Paulsson
- Cited by
- AgingBiophysicsMolecular Biology
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Thomas M. Norman
23 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Aging 136
- Biophysics 391
- Molecular Biology 3.5k
- Genetics 794
- Business and International Management 49
Countries citing papers authored by Thomas M. Norman
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
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
The 25 scholars most cited alongside Thomas M. Norman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 8 | |
| 3 | Drivers of heterogeneity in synovial fibroblasts in rheumatoid arthritisbreakdown → | 2023 | 86 |
| 4 | 2023 | 1 | |
| 5 | 2022 | 52 | |
| 6 | Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seqbreakdown → | 2022 | 253 |
| 7 | High-content CRISPR screeningbreakdown → | 2022 | 276 |
| 8 | 2020 | 229 | |
| 9 | 2020 | 111 | |
| 10 | 2019 | 156 | |
| 11 | 2019 | 225 | |
| 12 | 2016 | 24 | |
| 13 | A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Responsebreakdown → | 2016 | 690 |
| 14 | Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screensbreakdown → | 2016 | 1027 |
| 15 | 2016 | 34 | |
| 16 | 2013 | 184 | |
| 17 | 2011 | 65 | |
| 18 | 2010 | 142 | |
| 19 | 2010 | 112 | |
| 20 | 1988 | 11 |
About Thomas M. Norman
Thomas M. Norman is a scholar working on Biophysics, Molecular Biology and Genetics, having authored 23 papers that have together received 4.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (14 papers), CRISPR and Genetic Engineering (10 papers), Gene Regulatory Network Analysis (7 papers), Bacterial Genetics and Biotechnology (5 papers), Cell Image Analysis Techniques (5 papers), Evolution and Genetic Dynamics (3 papers), Bacteriophages and microbial interactions (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Aging (136 citations), Biophysics (391 citations) and Molecular Biology (3.5k citations). Thomas M. Norman has collaborated with scholars based in United States, United Kingdom and Austria. Frequent 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. Their work appears in journals such as Nature, Science and Cell.
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.