Christine Mayr
- Molecular Biology top 0.5%
- Cancer Research top 0.5%
- Immunology top 5%
- Genetics top 5%
- Oncology top 5%
- Co-authors
- David P. BartelChristopher B. BurgeGary P. SchrothIrina KhrebtukovaLu ZhangStephen F. KingsmoreRickard SandbergShujun Luo
- Topics
- RNA Research and Splicing (22 papers)RNA modifications and cancer (20 papers)Chronic Lymphocytic Leukemia Research (13 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Christine Mayr
42 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 7.9k
- Cancer Research 2.7k
- Immunology 797
- Genetics 491
- Oncology 467
Countries citing papers authored by Christine Mayr
This map shows the geographic impact of Christine Mayr'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 Christine Mayr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Mayr more than expected).
Fields of papers citing papers by Christine Mayr
This network shows the impact of papers produced by Christine Mayr. 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 Christine Mayr. The network helps show where Christine Mayr may publish in the future.
Co-authorship network of co-authors of Christine Mayr
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Mayr. A scholar is included among the top collaborators of Christine Mayr 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 Christine Mayr. Christine Mayr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Context-specific regulation and function of mRNA alternative polyadenylationbreakdown → | 156 |
| 3 | 17 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 321 | |
| 7 | 257 | |
| 8 | 162 | |
| 9 | 114 | |
| 10 | 227 | |
| 11 | 350 | |
| 12 | Widespread Shortening of 3′UTRs by Alternative Cleavage and Polyadenylation Activates Oncogenes in Cancer Cellsbreakdown → | 869 |
| 13 | 79 | |
| 14 | Alternative isoform regulation in human tissue transcriptomesbreakdown → | 3796 |
| 15 | 8 | |
| 16 | 13 | |
| 17 | 9 | |
| 18 | 31 | |
| 19 | 14 | |
| 20 | 15 |
About Christine Mayr
Christine Mayr is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 42 papers that have together received 9.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (22 papers), RNA modifications and cancer (20 papers) and Chronic Lymphocytic Leukemia Research (13 papers). The work is most often cited by research in Cancer Research (2.7k citations), Molecular Biology (7.9k citations) and Genetics (461 citations). Christine Mayr has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David P. Bartel, Christopher B. Burge, Gary P. Schroth, Irina Khrebtukova, Lu Zhang, Stephen F. Kingsmore, Rickard Sandberg, Shujun Luo, Eric T. Wang and Michael T. Hemann. Their work appears in journals such as Nature, Science and Cell.
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.