Katherine Rothamel

2.9k total citations
17 papers, 1.1k citations indexed

About

Katherine Rothamel is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Katherine Rothamel has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Immunology and 2 papers in Oncology. Recurrent topics in Katherine Rothamel's work include RNA Research and Splicing (12 papers), RNA modifications and cancer (11 papers) and RNA and protein synthesis mechanisms (9 papers). Katherine Rothamel is often cited by papers focused on RNA Research and Splicing (12 papers), RNA modifications and cancer (11 papers) and RNA and protein synthesis mechanisms (9 papers). Katherine Rothamel collaborates with scholars based in United States, Singapore and Canada. Katherine Rothamel's co-authors include Christophe Benoıst, Aviv Regev, Manuel Ascano, Daphne Koller, Vladimir Jojic, Ei Wakamatsu, David Zemmour, Ting Feng, Tal Shay and Or Zuk and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Katherine Rothamel

16 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Katherine Rothamel United States 12 639 602 130 125 103 17 1.1k
Meng Lin China 20 407 0.6× 596 1.0× 140 1.1× 110 0.9× 50 0.5× 33 1.1k
Hannah M. Jahn Germany 8 713 1.1× 818 1.4× 69 0.5× 70 0.6× 152 1.5× 8 1.3k
Paola M. Barral United States 10 487 0.8× 454 0.8× 128 1.0× 128 1.0× 62 0.6× 13 1.1k
Cristiana M. Pineda United States 8 847 1.3× 1.1k 1.9× 171 1.3× 186 1.5× 88 0.9× 13 1.8k
Lawrence R. Shiow United States 9 1.2k 1.8× 464 0.8× 183 1.4× 62 0.5× 99 1.0× 9 1.8k
Michelle N. Messmer United States 15 715 1.1× 540 0.9× 363 2.8× 82 0.7× 61 0.6× 18 1.3k
Мikhail Pashenkov Russia 26 977 1.5× 391 0.6× 316 2.4× 74 0.6× 250 2.4× 70 1.8k
Michaela Waibel Australia 13 615 1.0× 553 0.9× 95 0.7× 39 0.3× 55 0.5× 23 1.2k
Maurice Zauderer United States 23 536 0.8× 515 0.9× 258 2.0× 59 0.5× 72 0.7× 72 1.4k
Akihiro Konno Japan 21 549 0.9× 400 0.7× 125 1.0× 79 0.6× 43 0.4× 37 1.2k

Countries citing papers authored by Katherine Rothamel

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Rothamel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine Rothamel. 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 Katherine Rothamel. The network helps show where Katherine Rothamel may publish in the future.

Co-authorship network of co-authors of Katherine Rothamel

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

All Works

17 of 17 papers shown
1.
Rhine, Kevin, Rachel Li, Katherine Rothamel, et al.. (2025). Neuronal aging causes mislocalization of splicing proteins and unchecked cellular stress. Nature Neuroscience. 28(6). 1174–1184. 4 indexed citations
2.
Rothamel, Katherine, Kristopher W. Brannan, Wenhao Jin, et al.. (2024). Large-scale map of RNA-binding protein interactomes across the mRNA life cycle. Molecular Cell. 84(19). 3790–3809.e8. 11 indexed citations
3.
Her, Hsuan-Lin, et al.. (2024). Mudskipper detects combinatorial RNA binding protein interactions in multiplexed CLIP data. Cell Genomics. 4(7). 100603–100603.
4.
Schafer, Danielle, et al.. (2024). Decoding protein–RNA interactions using CLIP-based methodologies. Nature Reviews Genetics. 25(12). 879–895. 12 indexed citations
5.
Jin, Wenhao, Kristopher W. Brannan, Katannya Kapeli, et al.. (2023). HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence. Molecular Cell. 83(14). 2595–2611.e11. 17 indexed citations
6.
Lorenz, Daniel A., Hsuan-Lin Her, Katherine Rothamel, et al.. (2022). Multiplexed transcriptome discovery of RNA-binding protein binding sites by antibody-barcode eCLIP. Nature Methods. 20(1). 65–69. 11 indexed citations
7.
Rothamel, Katherine, et al.. (2021). ELAVL1 primarily couples mRNA stability with the 3′ UTRs of interferon-stimulated genes. Cell Reports. 35(8). 109178–109178. 48 indexed citations
8.
Rothamel, Katherine, et al.. (2021). RNA Binding Proteins as Pioneer Determinants of Infection: Protective, Proviral, or Both?. Viruses. 13(11). 2172–2172. 12 indexed citations
9.
Kim, Byungil, Katherine Rothamel, Kristie L. Rose, et al.. (2020). Discovery of Widespread Host Protein Interactions with the Pre-replicated Genome of CHIKV Using VIR-CLASP. Molecular Cell. 78(4). 624–640.e7. 77 indexed citations
10.
Kim, Byungil, et al.. (2020). Viral crosslinking and solid-phase purification enables discovery of ribonucleoprotein complexes on incoming RNA virus genomes. Nature Protocols. 16(1). 516–531. 12 indexed citations
11.
Rothamel, Katherine, et al.. (2020). ELAVL1 Primarily Couples mRNA Stability with the 3’UTRs of Interferon Stimulated Genes. SSRN Electronic Journal. 1 indexed citations
12.
Vincent, Jessica, Carolina Adura, Pu Gao, et al.. (2017). Small molecule inhibition of cGAS reduces interferon expression in primary macrophages from autoimmune mice. Nature Communications. 8(1). 750–750. 261 indexed citations
13.
Mostafavi, Sara, Hideyuki Yoshida, Devapregasan Moodley, et al.. (2016). Parsing the Interferon Transcriptional Network and Its Disease Associations. Cell. 164(3). 564–578. 202 indexed citations
14.
Ericson, Jeffrey, P. Duffau, Kei Yasuda, et al.. (2014). Gene Expression during the Generation and Activation of Mouse Neutrophils: Implication of Novel Functional and Regulatory Pathways. PLoS ONE. 9(10). e108553–e108553. 76 indexed citations
15.
Shay, Tal, Vladimir Jojic, Or Zuk, et al.. (2013). Conservation and divergence in the transcriptional programs of the human and mouse immune systems. Proceedings of the National Academy of Sciences. 110(8). 2946–2951. 253 indexed citations
16.
Raj, Towfique, Kenneth J. Ryan, Joseph M. Replogle, et al.. (2013). CD33: increased inclusion of exon 2 implicates the Ig V-set domain in Alzheimer's disease susceptibility. Human Molecular Genetics. 23(10). 2729–2736. 108 indexed citations
17.
Lim, Andrew, Anne‐Marie Chang, Joshua Shulman, et al.. (2012). A common polymorphism near PER1 and the timing of human behavioral rhythms. Annals of Neurology. 72(3). 324–334. 32 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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