Stephen Mieruszynski
Impact in
- Biophysics top 10%
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- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
Papers in
-
- RNA Research and Splicing 5
- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 3
- DNA and Nucleic Acid Chemistry 2
- RNA Interference and Gene Delivery 2
- Ubiquitin and proteasome pathways 1
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- Endoplasmic Reticulum Stress and Disease 1
- Co-authors
- Francesco Cutrale (2 shared papers)Anna Seriola (2 shared papers)Angel Alcaide Raya (2 shared papers)Jason Otterstrom (2 shared papers)Samuel Ojosnegros (2 shared papers)Daniel Rodriguez (2 shared papers)Scott E. Fraser (2 shared papers)Elena Martínez (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Scientific Reports (2 papers)eLife (1 paper)Nature Protocols (1 paper)Nature Communications (1 paper)
- Partner nations
- AustraliaUnited StatesSpain
In The Last Decade
Stephen Mieruszynski
11 papers receiving 423 citations
Peers
Comparison fields: 5 of 68
- Biophysics 28
- Molecular Biology 320
- Aging 5
- Geriatrics and Gerontology 9
- Hematology 24
Countries citing papers authored by Stephen Mieruszynski
This map shows the geographic impact of Stephen Mieruszynski'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 Stephen Mieruszynski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Mieruszynski more than expected).
Fields of papers citing papers by Stephen Mieruszynski
This network shows the impact of papers produced by Stephen Mieruszynski. 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 Stephen Mieruszynski. The network helps show where Stephen Mieruszynski may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Mieruszynski, 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 | 2018 | 246 | |
| 2 | 2017 | 46 | |
| 3 | 2019 | 35 | |
| 4 | 2022 | 30 | |
| 5 | 2018 | 22 | |
| 6 | 2021 | 21 | |
| 7 | 2015 | 10 | |
| 8 | 2015 | 9 | |
| 9 | 2012 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 0 |
About Stephen Mieruszynski
Stephen Mieruszynski is a scholar working on Molecular Biology, Cell Biology, Biophysics, Hematology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 436 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), DNA and Nucleic Acid Chemistry (2 papers), RNA Interference and Gene Delivery (2 papers), Ubiquitin and proteasome pathways (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Biophysics (28 citations), Molecular Biology (320 citations), Aging (5 citations), Geriatrics and Gerontology (9 citations) and Hematology (24 citations). Stephen Mieruszynski has collaborated with scholars based in Australia, United States and Spain. Frequent co-authors include Francesco Cutrale, Anna Seriola, Angel Alcaide Raya, Jason Otterstrom, Samuel Ojosnegros, Daniel Rodriguez, Scott E. Fraser, Elena Martínez, Melike Lakadamyali and Joan K. Heath. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, eLife, Nature Protocols and Nature Communications.
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.