Matthew Tegowski
Impact in
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- Cancer-related molecular mechanisms research
- NF-κB Signaling Pathways
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- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 8
- Cancer-related gene regulation 4
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 2
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- Cancer-related molecular mechanisms research 5
- NF-κB Signaling Pathways 1
- Co-authors
- Kate D. Meyer (8 shared papers)Mathieu N. Flamand (2 shared papers)Albert S. Baldwin (4 shared papers)Cheng Fan (2 shared papers)Christopher L. Holley (1 shared paper)Charlene Santos (1 shared paper)Isaac Kremsky (1 shared paper)Sara W. Leung (1 shared paper)
- Journals
- Molecular Cell (1 paper)eLife (1 paper)Cell Reports (1 paper)Nature Neuroscience (1 paper)Frontiers in Molecular Neuroscience (1 paper)
- Partner nations
- United States
In The Last Decade
Matthew Tegowski
12 papers receiving 369 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 131
- Molecular Biology 294
- Oncology 55
- Psychiatry and Mental health 23
- Biological Psychiatry 3
Countries citing papers authored by Matthew Tegowski
This map shows the geographic impact of Matthew Tegowski'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 Matthew Tegowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Tegowski more than expected).
Fields of papers citing papers by Matthew Tegowski
This network shows the impact of papers produced by Matthew Tegowski. 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 Matthew Tegowski. The network helps show where Matthew Tegowski may publish in the future.
Co-authors
The 17 scholars most cited alongside Matthew Tegowski, 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 | 2022 | 121 | |
| 2 | 2023 | 101 | |
| 3 | 2018 | 55 | |
| 4 | 2018 | 48 | |
| 5 | 2019 | 11 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2016 | 3 | |
| 12 | 2025 | 2 |
About Matthew Tegowski
Matthew Tegowski is a scholar working on Molecular Biology, Cancer Research, Psychiatry and Mental health, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 12 papers that have together received 370 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (5 papers), Cancer-related gene regulation (4 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Cancer Research (131 citations), Molecular Biology (294 citations), Oncology (55 citations), Psychiatry and Mental health (23 citations) and Biological Psychiatry (3 citations). Matthew Tegowski has collaborated with scholars based in United States. Frequent co-authors include Kate D. Meyer, Mathieu N. Flamand, Albert S. Baldwin, Cheng Fan, Christopher L. Holley, Charlene Santos, Isaac Kremsky, Sara W. Leung, Anita H. Corbett and Benjamin P. Tu. Their work appears in journals such as Molecular Cell, eLife, Cell Reports, Nature Neuroscience and Frontiers in Molecular Neuroscience.
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.