Deepa Sheth

917 total citations
23 papers, 483 citations indexed

About

Deepa Sheth is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Deepa Sheth has authored 23 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Artificial Intelligence. Recurrent topics in Deepa Sheth's work include MRI in cancer diagnosis (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and AI in cancer detection (6 papers). Deepa Sheth is often cited by papers focused on MRI in cancer diagnosis (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and AI in cancer detection (6 papers). Deepa Sheth collaborates with scholars based in United States, Japan and India. Deepa Sheth's co-authors include Maryellen L. Giger, Hui Li, Hiroyuki Abé, Lan Li, Naoko Mori, Jonathan M. Lorenz, Jay Patel, Keiko Tsuchiya, Gregory S. Karczmar and David Schacht and has published in prestigious journals such as Scientific Reports, Radiology and American Journal of Roentgenology.

In The Last Decade

Deepa Sheth

19 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepa Sheth United States	10	334	228	91	57	49	23	483
Isaac Daimiel Naranjo United States	12	415 1.2×	165 0.7×	111 1.2×	29 0.5×	67 1.4×	20	548
Yixin Hu China	8	400 1.2×	239 1.0×	83 0.9×	32 0.6×	75 1.5×	14	522
Rushuang Mao China	7	415 1.2×	237 1.0×	85 0.9×	34 0.6×	93 1.9×	12	521
Yini Huang China	10	493 1.5×	266 1.2×	107 1.2×	50 0.9×	131 2.7×	23	665
Chao You China	15	459 1.4×	152 0.7×	108 1.2×	69 1.2×	52 1.1×	44	607
Adrian Ion‐Mărgineanu United States	7	131 0.4×	107 0.5×	29 0.3×	40 0.7×	47 1.0×	16	314
Isabel Schobert Germany	9	410 1.2×	167 0.7×	99 1.1×	16 0.3×	98 2.0×	18	694
Anna Luíza Damaceno Araújo Brazil	14	187 0.6×	140 0.6×	93 1.0×	22 0.4×	32 0.7×	49	507
Beatriu Reig United States	13	327 1.0×	181 0.8×	74 0.8×	124 2.2×	38 0.8×	31	579

Countries citing papers authored by Deepa Sheth

Since Specialization

Citations

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

Fields of papers citing papers by Deepa Sheth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Sheth

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

All Works

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20 of 20 papers shown

Sheth, Deepa, Md Mahfuzur Rahman Siddiquee, Catherine D. Chong, et al.. (2025). Leveraging multi-modal foundation model image encoders to enhance brain MRI-based headache classification. Scientific Reports. 15(1). 33256–33256.

Sheth, Deepa, et al.. (2024). WHO'S TO BLAME? URTICARIA DUE TO EXTRA BETA-TRYPTASE ALLELES, T-CELL LYMPHOMA, OR PAPILLARY THYROID CANCER?. Annals of Allergy Asthma & Immunology. 133(6). S138–S138.

Drukker, Karen, et al.. (2023). U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging. Journal of Medical Imaging. 10(6). 64502–64502. 1 indexed citations

Zhou, Xueyan, Xiaobing Fan, Devkumar Mustafi, et al.. (2020). Comparison of DCE-MRI of murine model cancers with a low dose and high dose of contrast agent. Physica Medica. 81. 31–39. 3 indexed citations

Whitaker, Kristen, Deepa Sheth, & Olufunmilayo I. Olopade. (2020). Dynamic contrast-enhanced magnetic resonance imaging for risk-stratified screening in women with BRCA mutations or high familial risk for breast cancer: are we there yet?. Breast Cancer Research and Treatment. 183(2). 243–250. 5 indexed citations

Mori, Naoko, Deepa Sheth, & Hiroyuki Abé. (2020). Nonmass Enhancement Breast Lesions: Diagnostic Performance of Kinetic Assessment on Ultrafast and Standard Dynamic Contrast-Enhanced MRI in Comparison With Morphologic Evaluation. American Journal of Roentgenology. 215(2). 511–518. 19 indexed citations

Pineda, Federico, Deepa Sheth, Hiroyuki Abé, Milica Medved, & Gregory S. Karczmar. (2019). Low-dose imaging technique (LITE) MRI: initial experience in breast imaging. British Journal of Radiology. 92(1103). 20190302–20190302. 13 indexed citations

Sheth, Deepa & Maryellen L. Giger. (2019). Artificial intelligence in the interpretation of breast cancer on MRI. Journal of Magnetic Resonance Imaging. 51(5). 1310–1324. 146 indexed citations

Li, Hui, et al.. (2019). Digital Mammography in Breast Cancer: Additive Value of Radiomics of Breast Parenchyma. Radiology. 291(1). 15–20. 75 indexed citations

10.

Sheth, Deepa, et al.. (2019). M101 THE EFFECT OF BRUTON TYROSINE KINASE INHIBITOR IBRUTINIB ON DIAGNOSTIC EVALUATION AMOXICILLIN ALLERGY. Annals of Allergy Asthma & Immunology. 123(5). S83–S84.

11.

Mori, Naoko, Keiko Tsuchiya, Deepa Sheth, et al.. (2018). Diagnostic value of electric properties tomography (EPT) for differentiating benign from malignant breast lesions: comparison with standard dynamic contrast-enhanced MRI. European Radiology. 29(4). 1778–1786. 27 indexed citations

12.

Li, Hui, et al.. (2018). Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography. Academic Radiology. 26(6). 735–743. 82 indexed citations

13.

Li, Hui, et al.. (2018). Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis. 28–28. 3 indexed citations

14.

Dashevsky, Brittany Z., Hiroyuki Abé, Nora Jaskowiak, et al.. (2017). Lymph node wire localization post-chemotherapy: Towards improving the false negative sentinel lymph node biopsy rate in breast cancer patients. Clinical Imaging. 48. 69–73. 16 indexed citations

15.

Tsuchiya, Keiko, Naoko Mori, David Schacht, et al.. (2017). Value of breast MRI for patients with a biopsy showing atypical ductal hyperplasia (ADH). Journal of Magnetic Resonance Imaging. 46(6). 1738–1747. 21 indexed citations

16.

Sheth, Deepa & Hiroyuki Abé. (2017). Abbreviated MRI and Accelerated MRI for Screening and Diagnosis of Breast Cancer. Topics in Magnetic Resonance Imaging. 26(5). 183–189. 15 indexed citations

17.

Medved, Milica, Hui Li, Hiroyuki Abé, et al.. (2017). Fast bilateral breast coverage with high spectral and spatial resolution (HiSS) MRI at 3T. Journal of Magnetic Resonance Imaging. 46(5). 1341–1348. 7 indexed citations

18.

Sheth, Deepa, et al.. (2009). Transient Bacteremia after a Percutaneous Liver Biopsy. Journal of Vascular and Interventional Radiology. 20(11). 1429–1430. 3 indexed citations

19.

Sheth, Deepa, Héctor Ferral, & Nilesh H. Patel. (2007). AJR Teaching File: Weight Lifter with Swelling in the Upper Arm. American Journal of Roentgenology. 189(3_supplement). S21–S23. 2 indexed citations

20.

Sheth, Deepa, et al.. (1992). Circumdural decompression by posterior vertebrectomy for relief of cord compression due to metastatic disease of thoracic and lumbar spine.. PubMed. 29(2). 43–8. 9 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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