Kelsey Gasior

482 total citations · 1 hit paper
10 papers, 292 citations indexed

About

Kelsey Gasior is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kelsey Gasior has authored 10 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Kelsey Gasior's work include RNA Research and Splicing (6 papers), Cancer Cells and Metastasis (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Kelsey Gasior is often cited by papers focused on RNA Research and Splicing (6 papers), Cancer Cells and Metastasis (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Kelsey Gasior collaborates with scholars based in United States, Canada and Belgium. Kelsey Gasior's co-authors include Jay Newby, Amy S. Gladfelter, Haiyang Yu, Sonia Vazquez‐Sanchez, Melinda S. Beccari, John R. Yates, Digvijay Singh, Miguel Lafarga, Elizabeth Villa and O. Tapia and has published in prestigious journals such as Science, Biophysical Journal and Journal of Theoretical Biology.

In The Last Decade

Kelsey Gasior

10 papers receiving 290 citations

Hit Papers

HSP70 chaperones RNA-free TDP-43 into anisotropic intranu... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kelsey Gasior United States 5 240 77 42 33 20 10 292
Bhalchandra S. Rao United States 11 720 3.0× 85 1.1× 53 1.3× 39 1.2× 18 0.9× 12 778
J.M. Baumhardt United States 5 298 1.2× 80 1.0× 54 1.3× 22 0.7× 12 0.6× 5 320
Kevin Rhine United States 9 408 1.7× 71 0.9× 39 0.9× 22 0.7× 19 0.9× 17 451
Alexandra M. D’Ordine United States 5 269 1.1× 79 1.0× 33 0.8× 17 0.5× 20 1.0× 9 304
Michael Bremang United Kingdom 12 336 1.4× 71 0.9× 32 0.8× 14 0.4× 12 0.6× 15 451
Joshua Amaya United States 6 350 1.5× 63 0.8× 35 0.8× 19 0.6× 39 1.9× 12 411
Emil Spreitzer Austria 7 587 2.4× 120 1.6× 76 1.8× 45 1.4× 40 2.0× 12 639
Charlotte M. Fare United States 11 547 2.3× 138 1.8× 71 1.7× 43 1.3× 24 1.2× 16 619
Bo Lim Lee United States 2 280 1.2× 95 1.2× 55 1.3× 17 0.5× 18 0.9× 2 326
Amirhossein Ghanbari Niaki United States 5 658 2.7× 95 1.2× 49 1.2× 53 1.6× 51 2.5× 5 702

Countries citing papers authored by Kelsey Gasior

Since Specialization
Citations

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

Fields of papers citing papers by Kelsey Gasior

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelsey Gasior

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

All Works

10 of 10 papers shown
1.
Gasior, Kelsey, et al.. (2024). Untangling the Molecular Interactions Underlying Intracellular Phase Separation Using Combined Global Sensitivity Analyses. Bulletin of Mathematical Biology. 86(5). 60–60. 1 indexed citations
2.
3.
Gasior, Kelsey, Marlene Hauck, & Sudin Bhattacharya. (2022). Modeling the influence of cell–cell contact and TGF-β signaling on the epithelial mesenchymal transition in MCF7 breast carcinoma cells. Journal of Theoretical Biology. 546. 111160–111160. 2 indexed citations
4.
Yu, Haiyang, Shan Lu, Kelsey Gasior, et al.. (2021). HSP70 chaperones RNA-free TDP-43 into anisotropic intranuclear liquid spherical shells. Science. 371(6529). 218 indexed citations breakdown →
5.
Gasior, Kelsey, et al.. (2021). Fast-slow analysis as a technique for understanding the neuronal response to current ramps. Journal of Computational Neuroscience. 50(2). 145–159. 1 indexed citations
6.
Gasior, Kelsey, Maguelone G. Forest, Amy S. Gladfelter, & Jay Newby. (2020). Mathematically Modeling Mechanisms of Molecular Identity in Biomolecular Condensates. Biophysical Journal. 118(3). 304a–304a. 1 indexed citations
7.
Gasior, Kelsey, M. Gregory Forest, Amy S. Gladfelter, & Jay Newby. (2020). Modeling the Mechanisms by Which Coexisting Biomolecular RNA–Protein Condensates Form. Bulletin of Mathematical Biology. 82(12). 153–153. 10 indexed citations
8.
Gasior, Kelsey, Jia Zhao, Grace A. McLaughlin, et al.. (2019). Partial demixing of RNA-protein complexes leads to intradroplet patterning in phase-separated biological condensates. Physical review. E. 99(1). 12411–12411. 24 indexed citations
9.
Gasior, Kelsey, Nikki J. Wagner, Jhon Cores, et al.. (2018). The role of cellular contact and TGF-beta signaling in the activation of the epithelial mesenchymal transition (EMT). Cell Adhesion & Migration. 13(1). 63–75. 13 indexed citations
10.
Gasior, Kelsey, Marlene Hauck, Alyson G. Wilson, & Sudin Bhattacharya. (2017). A Theoretical Model of the Wnt Signaling Pathway in the Epithelial Mesenchymal Transition. Theoretical Biology and Medical Modelling. 14(1). 19–19. 21 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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