Christine Mayr

71 total papers · 12.7k total citations
42 papers, 9.2k citations indexed

About

Christine Mayr is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Christine Mayr has authored 42 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Genetics and 7 papers in Oncology. Recurrent topics in Christine Mayr's work include RNA Research and Splicing (22 papers), RNA modifications and cancer (20 papers) and Chronic Lymphocytic Leukemia Research (13 papers). Christine Mayr is often cited by papers focused on RNA Research and Splicing (22 papers), RNA modifications and cancer (20 papers) and Chronic Lymphocytic Leukemia Research (13 papers). Christine Mayr collaborates with scholars based in United States, Germany and United Kingdom. Christine Mayr's co-authors include David P. Bartel, Lu Zhang, Gary P. Schroth, Christopher B. Burge, Eric T. Wang, Irina Khrebtukova, Rickard Sandberg, Stephen F. Kingsmore, Shujun Luo and Michael T. Hemann and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Christine Mayr

42 papers receiving 9.0k citations

Hit Papers

Alternative isoform regul... 2007 2026 2013 2019 2008 2007 2009 2017 2022 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Christine Mayr 7.9k 2.7k 794 491 466 42 9.2k
M. Ryan Corces 5.1k 0.6× 2.4k 0.9× 903 1.1× 391 0.8× 519 1.1× 41 6.8k
Irina Khrebtukova 6.0k 0.8× 1.6k 0.6× 462 0.6× 549 1.1× 433 0.9× 31 6.9k
Davide Cacchiarelli 7.5k 1.0× 3.7k 1.4× 1.3k 1.6× 489 1.0× 685 1.5× 50 9.1k
Juan Valcárcel 10.0k 1.3× 1.3k 0.5× 618 0.8× 696 1.4× 372 0.8× 117 11.0k
John P. Hagan 5.6k 0.7× 4.2k 1.5× 682 0.9× 728 1.5× 927 2.0× 64 7.7k
Gary Brewer 7.4k 0.9× 1.4k 0.5× 1.1k 1.4× 472 1.0× 816 1.8× 114 9.0k
Javier F. Cáceres 11.0k 1.4× 2.4k 0.9× 612 0.8× 598 1.2× 688 1.5× 89 12.2k
John C. Castle 7.2k 0.9× 3.8k 1.4× 1.1k 1.4× 839 1.7× 899 1.9× 55 9.3k
Jasmine Jacob‐Hirsch 6.8k 0.9× 2.6k 0.9× 658 0.8× 334 0.7× 942 2.0× 87 8.6k
Aimee L. Jackson 8.9k 1.1× 5.0k 1.8× 637 0.8× 919 1.9× 850 1.8× 49 10.6k

Countries citing papers authored by Christine Mayr

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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