Grace Choi

410 total citations
18 papers, 259 citations indexed

About

Grace Choi is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Grace Choi has authored 18 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Grace Choi's work include Advanced MRI Techniques and Applications (3 papers), Medical Imaging and Analysis (3 papers) and Spinal Fractures and Fixation Techniques (3 papers). Grace Choi is often cited by papers focused on Advanced MRI Techniques and Applications (3 papers), Medical Imaging and Analysis (3 papers) and Spinal Fractures and Fixation Techniques (3 papers). Grace Choi collaborates with scholars based in United States, Germany and United Kingdom. Grace Choi's co-authors include Ryan Brown, Martin R. Prince, Thanh D. Nguyen, Pascal Spincemaille, Ludovic de Rochefort, Yi Wang, Jonathan W. Weinsaft, Pamela A. Shaw, Erin M. Green and Chamith S. Rajapakse and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Magnetic Resonance in Medicine.

In The Last Decade

Grace Choi

18 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grace Choi United States 11 93 52 44 40 37 18 259
Erika A. Tyburski United States 7 47 0.5× 90 1.7× 39 0.9× 37 0.9× 18 0.5× 11 354
Jianghao Liu China 8 86 0.9× 92 1.8× 85 1.9× 116 2.9× 39 1.1× 12 352
Peter Filev United States 8 187 2.0× 37 0.7× 12 0.3× 80 2.0× 16 0.4× 14 301
Yi Yao China 10 156 1.7× 12 0.2× 59 1.3× 21 0.5× 12 0.3× 30 508
Chris Constable Australia 10 230 2.5× 77 1.5× 32 0.7× 18 0.5× 22 0.6× 18 344
Alessandra Bindi Italy 10 196 2.1× 24 0.5× 13 0.3× 87 2.2× 27 0.7× 24 369
Adam Eshein United States 9 34 0.4× 43 0.8× 119 2.7× 82 2.0× 12 0.3× 24 320
Pauline Park United States 9 25 0.3× 49 0.9× 68 1.5× 18 0.5× 83 2.2× 17 345

Countries citing papers authored by Grace Choi

Since Specialization
Citations

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

Fields of papers citing papers by Grace Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Choi

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

All Works

18 of 18 papers shown
1.
Kargilis, Daniel, et al.. (2023). Conquering the Cobb Angle: A Deep Learning Algorithm for Automated, Hardware-Invariant Measurement of Cobb Angle on Radiographs in Patients with Scoliosis. Radiology Artificial Intelligence. 5(4). e220158–e220158. 10 indexed citations
2.
Basner, Mathias, Ian Barnett, Michele M. Carlin, et al.. (2023). Effects of Aircraft Noise on Sleep: Federal Aviation Administration National Sleep Study Protocol. International Journal of Environmental Research and Public Health. 20(21). 7024–7024. 3 indexed citations
4.
Herman, Jonathan D., Chuangqi Wang, John S. Burke, et al.. (2022). Nucleocapsid-specific antibody function is associated with therapeutic benefits from COVID-19 convalescent plasma therapy. Cell Reports Medicine. 3(11). 100811–100811. 17 indexed citations
5.
Daniell, Henry, Ping Wang, Kathleen T. Montone, et al.. (2022). Decrease in Angiotensin-Converting Enzyme activity but not concentration in plasma/lungs in COVID-19 patients offers clues for diagnosis/treatment. Molecular Therapy — Methods & Clinical Development. 26. 266–278. 19 indexed citations
6.
Jackson, Joshua G., Elizabeth N. Krizman, Hajime Takano, et al.. (2022). Activation of Glutamate Transport Increases Arteriole Diameter in vivo: Implications for Neurovascular Coupling. Frontiers in Cellular Neuroscience. 16. 831061–831061. 4 indexed citations
7.
Wellhausen, Nils, Austin K. Rennels, Stefanie Lesch, et al.. (2022). Epitope Editing in Hematopoietic Cells Enables CD45-Directed Immune Therapy. Blood. 140(Supplement 1). 862–864. 8 indexed citations
8.
Jones, Brandon C., et al.. (2021). Vertebral Deformity Measurements at MRI, CT, and Radiography Using Deep Learning. Radiology Artificial Intelligence. 4(1). e210015–e210015. 15 indexed citations
9.
Jones, Brandon C., et al.. (2021). A deep learning system for automated, multi-modality 2D segmentation of vertebral bodies and intervertebral discs. Bone. 149. 115972–115972. 28 indexed citations
10.
Yadav, Anjana, Andrew V. Kossenkov, Louise C. Showe, et al.. (2021). Lack of Atorvastatin Effect on Monocyte Gene Expression and Inflammatory Markers in HIV-1- infected ART-suppressed Individuals at Risk of non-AIDS Comorbidities. SHILAP Revista de lepidopterología. 6(2). 1–26. 4 indexed citations
11.
Choi, Grace, et al.. (2020). Persistent Disparities in Smoking Rates Among PLWH Compared to the General Population in Philadelphia, 2009–2014. AIDS and Behavior. 25(1). 148–153. 7 indexed citations
12.
Hubbard, Rebecca A., Jing Huang, Joanna Harton, et al.. (2018). A Bayesian latent class approach for EHR‐based phenotyping. Statistics in Medicine. 38(1). 74–87. 19 indexed citations
13.
Jaiswal, Deepika, et al.. (2017). Repression of Middle Sporulation Genes in Saccharomyces cerevisiae by the Sum1-Rfm1-Hst1 Complex Is Maintained by Set1 and H3K4 Methylation. G3 Genes Genomes Genetics. 7(12). 3971–3982. 11 indexed citations
14.
Choi, Grace, et al.. (2016). The histone methyltransferases Set5 and Set1 have overlapping functions in gene silencing and telomere maintenance. Epigenetics. 12(2). 93–104. 22 indexed citations
15.
Rigsby, Cynthia K., Gang Zhang, Andrada Popescu, et al.. (2013). Analysis of an automated background correction method for cardiovascular MR phase contrast imaging in children and young adults. Pediatric Radiology. 44(3). 265–273. 15 indexed citations
16.
Choi, Grace, et al.. (2012). Neutrophil count trends in BAL samples from children being investigated for chronic cough. 40. 4113. 1 indexed citations
17.
Brown, Ryan, Thanh D. Nguyen, Pascal Spincemaille, et al.. (2010). Effect of blood flow on double inversion recovery vessel wall MRI of the peripheral arteries: Quantitation withT2mapping and comparison with flow-insensitiveT2-prepared inversion recovery imaging. Magnetic Resonance in Medicine. 63(3). 736–744. 11 indexed citations
18.
Rochefort, Ludovic de, Thanh D. Nguyen, Ryan Brown, et al.. (2008). In vivo quantification of contrast agent concentration using the induced magnetic field for time‐resolved arterial input function measurement with MRI. Medical Physics. 35(12). 5328–5339. 62 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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