Julia K. Nussbacher

1.4k total citations
10 papers, 809 citations indexed

About

Julia K. Nussbacher is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Julia K. Nussbacher has authored 10 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Epidemiology. Recurrent topics in Julia K. Nussbacher's work include RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers) and RNA regulation and disease (3 papers). Julia K. Nussbacher is often cited by papers focused on RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers) and RNA regulation and disease (3 papers). Julia K. Nussbacher collaborates with scholars based in United States and Singapore. Julia K. Nussbacher's co-authors include G Yeo, Clotilde Lagier‐Tourenne, Ricardos Tabet, Ranjan Batra, Shashank Sathe, Margaret C. Burns, Wendy V. Gilbert, Nicole M. Martínez, Cassandra Schaening-Burgos and Amanda Su and has published in prestigious journals such as Neuron, Blood and Molecular Cell.

In The Last Decade

Julia K. Nussbacher

10 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia K. Nussbacher United States	10	672	215	123	69	67	10	809
Deanna M. Patmore United States	7	627 0.9×	100 0.5×	63 0.5×	88 1.3×	157 2.3×	8	863
Francesca Saladino Italy	9	486 0.7×	124 0.6×	52 0.4×	31 0.4×	95 1.4×	11	624
David Dadey United States	11	358 0.5×	76 0.4×	171 1.4×	41 0.6×	64 1.0×	21	661
Haruka Hirose Japan	12	305 0.5×	147 0.7×	60 0.5×	20 0.3×	69 1.0×	35	579
Ming-Teh Chen Taiwan	14	468 0.7×	296 1.4×	39 0.3×	30 0.4×	128 1.9×	21	699
Goleeta N. Alam United States	7	332 0.5×	123 0.6×	211 1.7×	126 1.8×	25 0.4×	8	557
Craig M. Forester United States	11	603 0.9×	122 0.6×	204 1.7×	16 0.2×	46 0.7×	15	800
Yasufumi Niinaka United States	9	276 0.4×	126 0.6×	96 0.8×	48 0.7×	20 0.3×	10	510
Cecilia Krona Sweden	15	282 0.4×	158 0.7×	54 0.4×	134 1.9×	73 1.1×	21	486
Uday Bhanu Maachani United States	13	257 0.4×	73 0.3×	121 1.0×	73 1.1×	149 2.2×	20	533

Countries citing papers authored by Julia K. Nussbacher

Since Specialization

Citations

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

Fields of papers citing papers by Julia K. Nussbacher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia K. Nussbacher. 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 Julia K. Nussbacher. The network helps show where Julia K. Nussbacher may publish in the future.

Co-authorship network of co-authors of Julia K. Nussbacher

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

All Works

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10 of 10 papers shown

Martínez, Nicole M., Amanda Su, Margaret C. Burns, et al.. (2022). Pseudouridine synthases modify human pre-mRNA co-transcriptionally and affect pre-mRNA processing. Molecular Cell. 82(3). 645–659.e9. 122 indexed citations

Einstein, Jaclyn M., Mark Perelis, Isaac A. Chaim, et al.. (2021). Inhibition of YTHDF2 triggers proteotoxic cell death in MYC-driven breast cancer. Molecular Cell. 81(15). 3048–3064.e9. 119 indexed citations

Rodvold, Jeffrey J., Xian Su, Julia K. Nussbacher, et al.. (2020). IRE1α and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells. Scientific Reports. 10(1). 8348–8348. 17 indexed citations

Nussbacher, Julia K., Ricardos Tabet, G Yeo, & Clotilde Lagier‐Tourenne. (2019). Disruption of RNA Metabolism in Neurological Diseases and Emerging Therapeutic Interventions. Neuron. 102(2). 294–320. 178 indexed citations

Nussbacher, Julia K. & G Yeo. (2018). Systematic Discovery of RNA Binding Proteins that Regulate MicroRNA Levels. Molecular Cell. 69(6). 1005–1016.e7. 96 indexed citations

Tan, Frederick E., et al.. (2018). A Transcriptome-wide Translational Program Defined by LIN28B Expression Level. Molecular Cell. 73(2). 304–313.e3. 12 indexed citations

Rodvold, Jeffrey J., Kevin Chiu, Nobuhiko Hiramatsu, et al.. (2017). Intercellular transmission of the unfolded protein response promotes survival and drug resistance in cancer cells. Science Signaling. 10(482). 82 indexed citations

Bos, Tomas, Julia K. Nussbacher, Stefan Aigner, & G Yeo. (2016). Tethered Function Assays as Tools to Elucidate the Molecular Roles of RNA-Binding Proteins. Advances in experimental medicine and biology. 907. 61–88. 29 indexed citations

Nussbacher, Julia K., Ranjan Batra, Clotilde Lagier‐Tourenne, & G Yeo. (2015). RNA-binding proteins in neurodegeneration: Seq and you shall receive. Trends in Neurosciences. 38(4). 226–236. 73 indexed citations

10.

Axelsson, Jakob, Ding Xu, Bit Na Kang, et al.. (2012). Inactivation of heparan sulfate 2-O-sulfotransferase accentuates neutrophil infiltration during acute inflammation in mice. Blood. 120(8). 1742–1751. 81 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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