Katharina E. Hayer

3.0k total citations
42 papers, 1.5k citations indexed

About

Katharina E. Hayer is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Katharina E. Hayer has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Immunology. Recurrent topics in Katharina E. Hayer's work include RNA modifications and cancer (11 papers), RNA Research and Splicing (9 papers) and CAR-T cell therapy research (6 papers). Katharina E. Hayer is often cited by papers focused on RNA modifications and cancer (11 papers), RNA Research and Splicing (9 papers) and CAR-T cell therapy research (6 papers). Katharina E. Hayer collaborates with scholars based in United States, Germany and Italy. Katharina E. Hayer's co-authors include John B. Hogenesch, Nicholas F. Lahens, Angel Pizarro, Gregory R. Grant, Matthew D. Weitzman, Giacomo Baruzzo, Eun Ji Kim, Garret A. FitzGerald, Barbara Di Camillo and Alexander M. Price and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Katharina E. Hayer

39 papers receiving 1.5k citations

Peers

Katharina E. Hayer

EAS

ONCOL

PHYSI

Christi M. Gendron United States

Jin Young Kim South Korea

Akiko Yanagiya Canada

Florian Heyd Germany

Paul Wei‐Che Hsu Taiwan

Stephan P. Persengiev United States

Yu‐Ting Chou United States

Markus Hoßbach Germany

Robert G. Wisotzkey United States

Cyril Boyault France

Christi M. Gendron United States

Katharina E. Hayer

716 ×0.7

301 ×1.0

127 ×0.5

EAS

136 ×0.8

ONCOL

221 ×1.5

PHYSI

Citations per year, relative to Katharina E. Hayer Katharina E. Hayer (= 1×) peers Christi M. Gendron

Countries citing papers authored by Katharina E. Hayer

Since Specialization

Citations

This map shows the geographic impact of Katharina E. Hayer'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 Katharina E. Hayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katharina E. Hayer more than expected).

Fields of papers citing papers by Katharina E. Hayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katharina E. Hayer. 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 Katharina E. Hayer. The network helps show where Katharina E. Hayer may publish in the future.

Co-authorship network of co-authors of Katharina E. Hayer

This figure shows the co-authorship network connecting the top 25 collaborators of Katharina E. Hayer. A scholar is included among the top collaborators of Katharina E. Hayer 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 Katharina E. Hayer. Katharina E. Hayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Torres-Diz, Manuel, Clara Reglero, Katharina E. Hayer, et al.. (2024). An Alternatively Spliced Gain-of-Function NT5C2 Isoform Contributes to Chemoresistance in Acute Lymphoblastic Leukemia. Cancer Research. 84(20). 3327–3336. 3 indexed citations

DAVIS, J, Katharina E. Hayer, Sisi Zheng, et al.. (2024). PAX5 Loss Compromises CD22 Protein Levels and Responses to Inotuzumab Ozogamicin in B-Cell Acute Lymphoblastic Leukemia. Blood. 144(Supplement 1). 4170–4170.

Hayer, Katharina E., et al.. (2024). Locus folding mechanisms determine modes of antigen receptor gene assembly. The Journal of Experimental Medicine. 221(2). 3 indexed citations

Hayer, Katharina E., Alice Meroni, Matthew D. Weitzman, et al.. (2024). The SMC5/6 complex prevents genotoxicity upon APOBEC3A-mediated replication stress. The EMBO Journal. 43(15). 3240–3255. 3 indexed citations

Danan, Charles, Katharina E. Hayer, Emily A. McMillan, et al.. (2023). Intestinal transit-amplifying cells require METTL3 for growth factor signaling and cell survival. JCI Insight. 8(23). 4 indexed citations

Price, Alexander M., Richard Lauman, Matthew Charman, et al.. (2022). Novel viral splicing events and open reading frames revealed by long-read direct RNA sequencing of adenovirus transcripts. PLoS Pathogens. 18(9). e1010797–e1010797. 16 indexed citations

Lee, Yin Yeng, Sibel Cal‐Kayitmazbatir, Lauren J. Francey, et al.. (2022). duperis a null mutation of Cryptochrome 1 in Syrian hamsters. Proceedings of the National Academy of Sciences. 119(18). e2123560119–e2123560119. 4 indexed citations

Heard, Amanda, John M. Warrington, John Lattin, et al.. (2022). Antigen glycosylation regulates efficacy of CAR T cells targeting CD19. Nature Communications. 13(1). 3367–3367. 40 indexed citations

Closa, Adrià, Antonio C. Fuentes-Fayos, Katharina E. Hayer, et al.. (2022). A convergent malignant phenotype in B-cell acute lymphoblastic leukemia involving the splicing factor SRRM1. NAR Cancer. 4(4). zcac041–zcac041. 5 indexed citations

10.

Yang, Scarlett Y., Katharina E. Hayer, Hossein Fazelinia, et al.. (2022). FBXW7β isoform drives transcriptional activation of the proinflammatory TNF cluster in human pro-B cells. Blood Advances. 7(7). 1077–1091. 3 indexed citations

11.

Price, Alexander M., Katharina E. Hayer, Ian Mohr, et al.. (2022). DRUMMER—rapid detection of RNA modifications through comparative nanopore sequencing. Bioinformatics. 38(11). 3113–3115. 44 indexed citations

12.

Lanauze, Claudia, Priyanka Sehgal, Katharina E. Hayer, et al.. (2021). Colorectal Cancer-Associated Smad4 R361 Hotspot Mutations Boost Wnt/β-Catenin Signaling through Enhanced Smad4–LEF1 Binding. Molecular Cancer Research. 19(5). 823–833. 9 indexed citations

13.

Price, Alexander M., Chao Di, Katharina E. Hayer, et al.. (2021). Adenovirus prevents dsRNA formation by promoting efficient splicing of viral RNA. Nucleic Acids Research. 50(3). 1201–1220. 16 indexed citations

14.

Wu, Glendon, et al.. (2020). Poor quality Vβ recombination signal sequences stochastically enforce TCRβ allelic exclusion. The Journal of Experimental Medicine. 217(9). 14 indexed citations

15.

Price, Alexander M., Katharina E. Hayer, Alexa B. R. McIntyre, et al.. (2020). Direct RNA sequencing reveals m6A modifications on adenovirus RNA are necessary for efficient splicing. Nature Communications. 11(1). 6016–6016. 145 indexed citations

16.

Herrmann, Christin, Joseph M. Dybas, Jennifer Liddle, et al.. (2020). Adenovirus-mediated ubiquitination alters protein–RNA binding and aids viral RNA processing. Nature Microbiology. 5(10). 1217–1231. 28 indexed citations

17.

Marsden, Kurt C., Roshan A. Jain, Marc A. Wolman, et al.. (2018). A Cyfip2-Dependent Excitatory Interneuron Pathway Establishes the Innate Startle Threshold. Cell Reports. 23(3). 878–887. 36 indexed citations

18.

Green, Abby M., Konstantin Budagyan, Katharina E. Hayer, et al.. (2017). Cytosine Deaminase APOBEC3A Sensitizes Leukemia Cells to Inhibition of the DNA Replication Checkpoint. Cancer Research. 77(17). 4579–4588. 44 indexed citations

19.

Hayer, Katharina E., Angel Pizarro, Nicholas F. Lahens, John B. Hogenesch, & Gregory R. Grant. (2015). Benchmark analysis of algorithms for determining and quantifying full-length mRNA splice forms from RNA-seq data. Bioinformatics. 31(24). 3938–3945. 64 indexed citations

20.

Lahens, Nicholas F., İbrahim Halil Kavaklı, Ray Zhang, et al.. (2014). IVT-seq reveals extreme bias in RNA sequencing. Genome biology. 15(6). R86–R86. 110 indexed citations

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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