Claudia Mertens
- Molecular Biology top 10%
- Cancer Research top 5%
- Oncology top 10%
- Immunology
- Cell Biology top 10%
- Co-authors
- James DarnellIlana Zucker-ScharffRobert B. DarnellCathrine Broberg VågbøJohn J. FakMichael J. MooreEndalkachew A. AlemuChristopher Y. Park
- Topics
- Cytokine Signaling Pathways and Interactions (5 papers)Skin and Cellular Biology Research (4 papers)Wnt/β-catenin signaling in development and cancer (4 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Claudia Mertens
18 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.3k
- Cancer Research 391
- Oncology 328
- Immunology 182
- Cell Biology 144
Countries citing papers authored by Claudia Mertens
This map shows the geographic impact of Claudia Mertens'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 Claudia Mertens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Mertens more than expected).
Fields of papers citing papers by Claudia Mertens
This network shows the impact of papers produced by Claudia Mertens. 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 Claudia Mertens. The network helps show where Claudia Mertens may publish in the future.
Co-authorship network of co-authors of Claudia Mertens
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Mertens. A scholar is included among the top collaborators of Claudia Mertens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Claudia Mertens. Claudia Mertens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 87 | |
| 2 | A majority of m6A residues are in the last exons, allowing the potential for 3′ UTR regulationbreakdown → | 649 |
| 3 | 37 | |
| 4 | 49 | |
| 5 | 71 | |
| 6 | 85 | |
| 7 | 36 | |
| 8 | 90 | |
| 9 | 90 | |
| 10 | Welfare assessment and phenotype characterisation of transgenic mice. | 6 |
| 11 | 112 | |
| 12 | 97 | |
| 13 | 46 | |
| 14 | 72 | |
| 15 | 11 | |
| 16 | 62 | |
| 17 | 5 | |
| 18 | 30 |
About Claudia Mertens
Claudia Mertens is a scholar working on Immunology and Allergy, Small Animals and Cell Biology, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), Skin and Cellular Biology Research (4 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). The work is most often cited by research in Cancer Research (391 citations), Molecular Biology (1.3k citations) and Oncology (328 citations). Claudia Mertens has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include James Darnell, Ilana Zucker-Scharff, Robert B. Darnell, Cathrine Broberg Vågbø, John J. Fak, Michael J. Moore, Endalkachew A. Alemu, Christopher Y. Park, Arne Klungland and Aldo Mele. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.