Tom Maniatis
Impact in
- Molecular Biology top 0.01%
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Genetics top 0.01%
- Bacterial Genetics and Biotechnology
Papers in
- Genetics 38
- Hemoglobinopathies and Related Disorders 22
-
- RNA Research and Splicing 80
- RNA and protein synthesis mechanisms 67
- RNA modifications and cancer 37
- DNA and Nucleic Acid Chemistry 28
- Genomics and Chromatin Dynamics 25
- Co-authors
- Joseph SambrookDimitris ThanosKai ZinnRobin ReedDouglas A. MeltonAndrea JeffreyMichael R. RebagliatiPaul A. Krieg
- Journals
- Cell (58 papers)Proceedings of the National Academy of Sciences (41 papers)Molecular and Cellular Biology (24 papers)Nature (21 papers)Science (15 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Tom Maniatis
277 papers receiving 182.7k citations
Hit Papers
Peers
Comparison fields: 5 of 212
- Molecular Biology 121.0k
- Genetics 35.1k
- Immunology 24.2k
- Endocrinology 5.4k
- Biotechnology 7.9k
Countries citing papers authored by Tom Maniatis
This map shows the geographic impact of Tom Maniatis'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 Tom Maniatis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Maniatis more than expected).
Fields of papers citing papers by Tom Maniatis
This network shows the impact of papers produced by Tom Maniatis. 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 Tom Maniatis. The network helps show where Tom Maniatis may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Maniatis, 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 | 2021 | 68 | |
| 3 | 2019 | 32 | |
| 4 | 2017 | 151 | |
| 5 | 2017 | 105 | |
| 6 | 2016 | 121 | |
| 7 | 2015 | 122 | |
| 8 | 2013 | 191 | |
| 9 | 2012 | 257 | |
| 10 | 2008 | 19 | |
| 11 | 2003 | 454 | |
| 12 | 2003 | 276 | |
| 13 | IKKε and TBK1 are essential components of the IRF3 signaling pathway Hit paper breakdown → | 2003 | 2204 |
| 14 | 1999 | 225 | |
| 15 | 1999 | 163 | |
| 16 | 1999 | 221 | |
| 17 | 1996 | 11 | |
| 18 | 1995 | 124 | |
| 19 | 1992 | 6 | |
| 20 | 1992 | 13 |
About Tom Maniatis
Tom Maniatis is a scholar working on Genetics, Molecular Biology, Immunology, Cancer Research and Cellular and Molecular Neuroscience, having authored 278 papers that have together received 190.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (80 papers), RNA and protein synthesis mechanisms (67 papers), interferon and immune responses (45 papers), RNA modifications and cancer (37 papers), DNA and Nucleic Acid Chemistry (28 papers), NF-κB Signaling Pathways (27 papers), Genomics and Chromatin Dynamics (25 papers) and Hemoglobinopathies and Related Disorders (22 papers). The work is most often cited by research in Molecular Biology (121.0k citations), Genetics (35.1k citations), Immunology (24.2k citations), Endocrinology (5.4k citations) and Biotechnology (7.9k citations). Tom Maniatis has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Joseph Sambrook, Dimitris Thanos, Kai Zinn, Robin Reed, Douglas A. Melton, Andrea Jeffrey, Michael R. Rebagliati, Paul A. Krieg, R Myers and Stephen Goodbourn. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Nature and Science.
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.