George M. Otto

1.5k total citations · 1 hit paper
9 papers, 789 citations indexed

About

George M. Otto is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, George M. Otto has authored 9 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 1 paper in Genetics. Recurrent topics in George M. Otto's work include RNA Research and Splicing (4 papers), RNA modifications and cancer (2 papers) and Ubiquitin and proteasome pathways (2 papers). George M. Otto is often cited by papers focused on RNA Research and Splicing (4 papers), RNA modifications and cancer (2 papers) and Ubiquitin and proteasome pathways (2 papers). George M. Otto collaborates with scholars based in United States. George M. Otto's co-authors include Branden S. Moriarity, David A. Largaespada, Jaclyn Essig, Yasuhiko Kawakami, Wuming Gong, York Marahrens, Peter Ronning, Anindya Bagchi, Ashutosh Tiwari and Hiroko Kawakami and has published in prestigious journals such as Nature, Cell and The Journal of Cell Biology.

In The Last Decade

George M. Otto

9 papers receiving 783 citations

Hit Papers

PVT1 dependence in cancer with MYC copy-number increase 2014 2026 2018 2022 2014 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. PVT1 dependence in cancer with MYC copy-number increase
    2014 561 citations Branden S. Moriarity, Wuming Gong et al. Nature profile →

Peers

George M. Otto
Barbara Uszczyńska-Ratajczak Poland
Guoyang He China
Emanuele Monteleone Italy
Paul D. Cao United States
Feng Miao China
Vanessa L. Hedge United Kingdom
Krista Rantanen Finland
Jovanna González Spain
Xiaowei Chen China
Anna Vilborg United States
Barbara Uszczyńska-Ratajczak Poland
George M. Otto
Citations per year, relative to George M. Otto George M. Otto (= 1×) peers Barbara Uszczyńska-Ratajczak

Countries citing papers authored by George M. Otto

Since Specialization
Citations

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

Fields of papers citing papers by George M. Otto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George M. Otto. 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 George M. Otto. The network helps show where George M. Otto may publish in the future.

Co-authorship network of co-authors of George M. Otto

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

All Works

9 of 9 papers shown
1.
Otto, George M., Domnița-Valeria Rusnac, Ping He, et al.. (2024). High-throughput identification of calcium-regulated proteins across diverse proteomes. Cell Reports. 43(11). 114879–114879. 2 indexed citations
2.
Otto, George M., et al.. (2021). Programmed cortical ER collapse drives selective ER degradation and inheritance in yeast meiosis. The Journal of Cell Biology. 220(12). 19 indexed citations
3.
Rahrmann, Eric P., Natalie K. Wolf, George M. Otto, et al.. (2018). Sleeping Beauty Screen Identifies RREB1 and Other Genetic Drivers in Human B-cell Lymphoma. Molecular Cancer Research. 17(2). 567–582. 14 indexed citations
4.
Cheng, Ze, George M. Otto, Abdurrahman Keskin, et al.. (2018). Pervasive, Coordinated Protein-Level Changes Driven by Transcript Isoform Switching during Meiosis. Cell. 172(5). 910–923.e16. 106 indexed citations
5.
Otto, George M. & Gloria A. Brar. (2018). Seq-ing answers: uncovering the unexpected in global gene regulation. Current Genetics. 64(6). 1183–1188. 8 indexed citations
6.
Keskin, Abdurrahman, George M. Otto, Charles A. Berdan, et al.. (2018). Global Proteome Remodeling during ER Stress Involves Hac1-Driven Expression of Long Undecoded Transcript Isoforms. Developmental Cell. 46(2). 219–235.e8. 34 indexed citations
7.
Robers, Matthew B., Brock F. Binkowski, Mei Cong, et al.. (2015). A luminescent assay for real-time measurements of receptor endocytosis in living cells. Analytical Biochemistry. 489. 1–8. 18 indexed citations
8.
Moriarity, Branden S., Wuming Gong, Ryutaro Akiyama, et al.. (2014). PVT1 dependence in cancer with MYC copy-number increase. Nature. 512(7512). 82–86. 561 indexed citations breakdown →
9.
Rahrmann, Eric P., Branden S. Moriarity, George M. Otto, et al.. (2014). Trp53 Haploinsufficiency Modifies EGFR-Driven Peripheral Nerve Sheath Tumorigenesis. American Journal Of Pathology. 184(7). 2082–2098. 27 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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