Katie E. Copley

1.1k total citations · 1 hit paper
6 papers, 627 citations indexed

About

Katie E. Copley is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Katie E. Copley has authored 6 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Katie E. Copley's work include RNA Research and Splicing (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Genetic Neurodegenerative Diseases (2 papers). Katie E. Copley is often cited by papers focused on RNA Research and Splicing (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Genetic Neurodegenerative Diseases (2 papers). Katie E. Copley collaborates with scholars based in United States, Japan and Germany. Katie E. Copley's co-authors include James Shorter, Bede Portz, Julia Kofler, Amanda M. Gleixner, Udai Bhan Pandey, Christopher J. Donnelly, Jacob R. Mann, Jocelyn C. Mauna, Bryan Hurtle and Michael R. DeChellis-Marks and has published in prestigious journals such as Cell, Nature Communications and Neuron.

In The Last Decade

Katie E. Copley

6 papers receiving 622 citations

Hit Papers

align trajectories

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.

RNA Binding Antagonizes Neurotoxic Phase Transitions of TDP-43

2019 365 citations Jacob R. Mann, Amanda M. Gleixner et al. Neuron profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katie E. Copley United States	5	523	256	151	58	39	6	627
Jacob R. Mann United States	7	428 0.8×	260 1.0×	169 1.1×	62 1.1×	42 1.1×	7	531
Miha Modic United Kingdom	12	661 1.3×	286 1.1×	208 1.4×	53 0.9×	28 0.7×	20	798
J. Gavin Daigle United States	7	451 0.9×	291 1.1×	186 1.2×	85 1.5×	47 1.2×	9	670
Zamia Diaz United States	3	485 0.9×	269 1.1×	129 0.9×	54 0.9×	44 1.1×	3	599
Bryan Hurtle United States	5	344 0.7×	195 0.8×	104 0.7×	62 1.1×	38 1.0×	8	441
Michael R. DeChellis-Marks United States	4	314 0.6×	188 0.7×	104 0.7×	47 0.8×	30 0.8×	5	387
Danae Campos‐Melo Canada	15	443 0.8×	326 1.3×	244 1.6×	119 2.1×	38 1.0×	24	696
Benjamin L. Zaepfel United States	9	337 0.6×	275 1.1×	156 1.0×	78 1.3×	59 1.5×	11	457
Lindsay A. Becker United States	4	382 0.7×	244 1.0×	172 1.1×	111 1.9×	31 0.8×	6	548
Nejc Haberman United Kingdom	15	825 1.6×	167 0.7×	131 0.9×	32 0.6×	24 0.6×	19	959

Countries citing papers authored by Katie E. Copley

Since Specialization

Citations

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

Fields of papers citing papers by Katie E. Copley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katie E. Copley

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

All Works

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6 of 6 papers shown

1.

Liu, Matthew, Lynn A. Spruce, Hossein Fazelinia, et al.. (2024). CRISPR screen for protein inclusion formation uncovers a role for SRRD in the regulation of intermediate filament dynamics and aggresome assembly. PLoS Genetics. 20(2). e1011138–e1011138. 1 indexed citations

2.

Copley, Katie E. & James Shorter. (2023). Repetitive elements in aging and neurodegeneration. Trends in Genetics. 39(5). 381–400. 29 indexed citations

3.

Gleixner, Amanda M., Eric N. Anderson, Nandini Ramesh, et al.. (2022). NUP62 localizes to ALS/FTLD pathological assemblies and contributes to TDP-43 insolubility. Nature Communications. 13(1). 3380–3380. 35 indexed citations

4.

Shen, Hui, Michael C. Owens, Clark Fritsch, et al.. (2022). Sexually dimorphic RNA helicases DDX3X and DDX3Y differentially regulate RNA metabolism through phase separation. Molecular Cell. 82(14). 2588–2603.e9. 60 indexed citations

5.

Hallegger, Martina, Anob M. Chakrabarti, Flora Lee, et al.. (2021). TDP-43 condensation properties specify its RNA-binding and regulatory repertoire. Cell. 184(18). 4680–4696.e22. 137 indexed citations

6.

Mann, Jacob R., Amanda M. Gleixner, Jocelyn C. Mauna, et al.. (2019). RNA Binding Antagonizes Neurotoxic Phase Transitions of TDP-43. Neuron. 102(2). 321–338.e8. 365 indexed citations breakdown →

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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