Danielle M. Garshott

741 total citations
19 papers, 475 citations indexed

About

Danielle M. Garshott is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Danielle M. Garshott has authored 19 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Cell Biology. Recurrent topics in Danielle M. Garshott's work include RNA modifications and cancer (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Ubiquitin and proteasome pathways (5 papers). Danielle M. Garshott is often cited by papers focused on RNA modifications and cancer (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Ubiquitin and proteasome pathways (5 papers). Danielle M. Garshott collaborates with scholars based in United States, Switzerland and Germany. Danielle M. Garshott's co-authors include Eric J. Bennett, Elayanambi Sundaramoorthy, Marilyn Leonard, Andrew M. Fribley, Michael U. Callaghan, J. Wade Harper, Yue Xi, Randal J. Kaufman, Justin Miller and James A. Saba and has published in prestigious journals such as Cell, Journal of Neuroscience and Blood.

In The Last Decade

Danielle M. Garshott

18 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle M. Garshott United States 12 337 111 81 50 32 19 475
Janet H. Zheng United States 5 357 1.1× 56 0.5× 70 0.9× 65 1.3× 46 1.4× 6 486
Raed Rizkallah United States 12 359 1.1× 134 1.2× 30 0.4× 48 1.0× 25 0.8× 18 472
Jae-Rin Lee South Korea 14 238 0.7× 123 1.1× 54 0.7× 56 1.1× 24 0.8× 25 423
Aixia Ren United States 13 288 0.9× 105 0.9× 22 0.3× 79 1.6× 36 1.1× 22 481
Salma Awad Saudi Arabia 16 593 1.8× 67 0.6× 44 0.5× 49 1.0× 48 1.5× 20 805
Hector Flores‐Romero Germany 11 384 1.1× 48 0.4× 51 0.6× 42 0.8× 54 1.7× 18 531
Agnieszka Bojko Poland 10 207 0.6× 49 0.4× 56 0.7× 61 1.2× 39 1.2× 10 383
Katerina Niforou Greece 5 274 0.8× 65 0.6× 27 0.3× 69 1.4× 37 1.2× 5 420
Chia‐Yung Wu Taiwan 8 298 0.9× 41 0.4× 37 0.5× 51 1.0× 26 0.8× 9 437
Mathieu Paquette Canada 6 289 0.9× 67 0.6× 251 3.1× 28 0.6× 71 2.2× 6 523

Countries citing papers authored by Danielle M. Garshott

Since Specialization
Citations

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

Fields of papers citing papers by Danielle M. Garshott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle M. Garshott

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

All Works

19 of 19 papers shown
1.
Garshott, Danielle M., et al.. (2025). RNF10 and RIOK3 facilitate 40S ribosomal subunit degradation upon 60S biogenesis disruption or amino acid starvation. Cell Reports. 44(3). 115371–115371. 8 indexed citations
2.
Mark, Kevin G., Jacob D. Aguirre, Danielle M. Garshott, et al.. (2023). Orphan quality control shapes network dynamics and gene expression. Cell. 186(16). 3460–3475.e23. 30 indexed citations
3.
Garshott, Danielle M., Heeseon An, Elayanambi Sundaramoorthy, et al.. (2021). iRQC, a surveillance pathway for 40S ribosomal quality control during mRNA translation initiation. Cell Reports. 36(9). 109642–109642. 52 indexed citations
4.
Sinha, Niladri K., Alban Ordureau, James A. Saba, et al.. (2020). EDF1 coordinates cellular responses to ribosome collisions. eLife. 9. 113 indexed citations
5.
Garshott, Danielle M., Elayanambi Sundaramoorthy, Marilyn Leonard, & Eric J. Bennett. (2020). Distinct regulatory ribosomal ubiquitylation events are reversible and hierarchically organized. eLife. 9. 52 indexed citations
6.
Xi, Yue, Justin Miller, Qinghua Zeng, et al.. (2019). Disulfiram (Antabuse) Activates ROS-Dependent ER Stress and Apoptosis in Oral Cavity Squamous Cell Carcinoma. Journal of Clinical Medicine. 8(5). 611–611. 34 indexed citations
7.
Garshott, Danielle M., Marilyn Leonard, Elayanambi Sundaramoorthy, & Eric J. Bennett. (2018). USP21 and OTUD3 Antagonize Regulatory Ribosomal Ubiquitylation and Ribosome‐associated Quality Control Pathways. The FASEB Journal. 32(S1). 1 indexed citations
8.
Garshott, Danielle M., Elayanambi Sundaramoorthy, Marilyn Leonard, & Eric J. Bennett. (2018). USP21 and OTUD3 Antagonize Regulatory Ribosomal Ubiquitylation and Ribosome-Associated Quality Control. SSRN Electronic Journal. 1 indexed citations
9.
Fribley, Andrew M., et al.. (2017). Recent Trends in Oral Cavity Cancer Research Support in the United States. Journal of Dental Research. 96(1). 17–22. 7 indexed citations
10.
Rayess, Hani, Yue Xi, Danielle M. Garshott, et al.. (2017). Benzethonium chloride activates ER stress and reduces proliferation in HNSCC. Oral Oncology. 76. 27–33. 11 indexed citations
11.
Garshott, Danielle M., et al.. (2017). The Utility of Real-Time Quantitative Polymerase Chain Reaction Genotype Detection in the Diagnosis of Urinary Tract Infections in Children. Clinical Pediatrics. 56(10). 912–919. 8 indexed citations
12.
Southwood, Cherie M., et al.. (2017). Dimethyl fumarate ameliorates myoclonus stemming from protein misfolding in oligodendrocytes. Journal of Neurochemistry. 142(1). 103–117. 5 indexed citations
13.
Southwood, Cherie M., Bozena Fyk‐Kolodziej, Danielle M. Garshott, et al.. (2016). Overexpression of CHOP in Myelinating Cells Does Not Confer a Significant Phenotype under Normal or Metabolic Stress Conditions. Journal of Neuroscience. 36(25). 6803–6819. 24 indexed citations
14.
Xi, Yue, Hang Gao, Michael U. Callaghan, et al.. (2015). Induction of BCL2-Interacting Killer, BIK, is Mediated for Anti-Cancer Activity of Curcumin in Human Head and Neck Squamous Cell Carcinoma Cells. Journal of Cancer. 6(4). 327–332. 22 indexed citations
15.
Miller, Justin, Ashootosh Tripathi, Danielle M. Garshott, et al.. (2015). Borrelidin Induces the Unfolded Protein Response in Oral Cancer Cells and Chop-Dependent Apoptosis. ACS Medicinal Chemistry Letters. 6(11). 1122–1127. 23 indexed citations
16.
Fribley, Andrew M., Justin Miller, Danielle M. Garshott, et al.. (2014). Celastrol induces unfolded protein response-dependent cell death in head and neck cancer. Experimental Cell Research. 330(2). 412–422. 50 indexed citations
17.
Flaherty, Daniel P., Justin Miller, Danielle M. Garshott, et al.. (2014). Discovery of Sulfonamidebenzamides as Selective Apoptotic CHOP Pathway Activators of the Unfolded Protein Response. ACS Medicinal Chemistry Letters. 5(12). 1278–1283. 16 indexed citations
18.
Xi, Yue, Danielle M. Garshott, G. Yoo, et al.. (2014). Cantharidins Induce ER Stress and a Terminal Unfolded Protein Response in OSCC. Journal of Dental Research. 94(2). 320–329. 18 indexed citations
19.
Miller, Justin, et al.. (2011). The Natural Product Borrelidin Induces UPR and Apoptosis in AML Cell Lines. Blood. 118(21). 4260–4260.

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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