Amanda Ernlund
Impact in
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- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
- CRISPR and Genetic Engineering
- RNA regulation and disease
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- Dermatology and Skin Diseases
Papers in
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- PI3K/AKT/mTOR signaling in cancer 5
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
- CRISPR and Genetic Engineering 2
- RNA modifications and cancer 2
- Machine Learning in Bioinformatics 1
- Protein Degradation and Inhibitors 1
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- Immune Cell Function and Interaction 2
- Co-authors
- Robert J. Schneider (11 shared papers)Columba de la Parra (4 shared papers)Amandine Alard (3 shared papers)Kelly V. Ruggles (3 shared papers)Beatrix Ueberheide (1 shared paper)Viviana Volta (4 shared papers)Rezina Arju (2 shared papers)Olga Katsara (2 shared papers)
- Journals
- Nature Communications (2 papers)Cell Reports (2 papers)Virus Evolution (1 paper)Genes (1 paper)Genes & Development (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Amanda Ernlund
15 papers receiving 408 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 328
- Dermatology 29
- Cancer Research 39
- Oncology 50
- Immunology 37
Countries citing papers authored by Amanda Ernlund
This map shows the geographic impact of Amanda Ernlund'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 Amanda Ernlund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda Ernlund more than expected).
Fields of papers citing papers by Amanda Ernlund
This network shows the impact of papers produced by Amanda Ernlund. 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 Amanda Ernlund. The network helps show where Amanda Ernlund may publish in the future.
Co-authors
The 25 scholars most cited alongside Amanda Ernlund, 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 | 120 | |
| 2 | 2021 | 43 | |
| 3 | 2017 | 38 | |
| 4 | 2021 | 36 | |
| 5 | 2016 | 32 | |
| 6 | 2020 | 27 | |
| 7 | 2018 | 25 | |
| 8 | 2023 | 24 | |
| 9 | 2018 | 19 | |
| 10 | 2018 | 16 | |
| 11 | 2023 | 11 | |
| 12 | 2018 | 7 | |
| 13 | 2021 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2015 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2020 | 0 |
About Amanda Ernlund
Amanda Ernlund is a scholar working on Molecular Biology, Immunology, Surgery, Dermatology and Rehabilitation, having authored 17 papers that have together received 408 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (2 papers), Immune Cell Function and Interaction (2 papers), RNA modifications and cancer (2 papers), Machine Learning in Bioinformatics (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Molecular Biology (328 citations), Dermatology (29 citations), Cancer Research (39 citations), Oncology (50 citations) and Immunology (37 citations). Amanda Ernlund has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Robert J. Schneider, Columba de la Parra, Amandine Alard, Kelly V. Ruggles, Beatrix Ueberheide, Viviana Volta, Rezina Arju, Olga Katsara, Abhilash Gadi and David Karig. Their work appears in journals such as Nature Communications, Cell Reports, Virus Evolution, Genes and Genes & Development.
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.