Jill S. Gluskin

492 total citations
26 papers, 235 citations indexed

About

Jill S. Gluskin is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Jill S. Gluskin has authored 26 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Oncology. Recurrent topics in Jill S. Gluskin's work include Digital Radiography and Breast Imaging (8 papers), MRI in cancer diagnosis (7 papers) and Breast Cancer Treatment Studies (7 papers). Jill S. Gluskin is often cited by papers focused on Digital Radiography and Breast Imaging (8 papers), MRI in cancer diagnosis (7 papers) and Breast Cancer Treatment Studies (7 papers). Jill S. Gluskin collaborates with scholars based in United States, Italy and Brazil. Jill S. Gluskin's co-authors include Maxine S. Jochelson, Fabrizio Chegai, Serena Monti, Ettore Squillaci, Lorenzo Mannelli, Janice S. Sung, Adam Guttentag, Leonard E. Braitman, Morris N. Kotler and M. Lippmann and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and Critical Care Medicine.

In The Last Decade

Jill S. Gluskin

24 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jill S. Gluskin United States 8 94 88 70 58 53 26 235
Fabian Stoehr Germany 11 79 0.8× 40 0.5× 106 1.5× 66 1.1× 49 0.9× 25 270
Fu‐shun Pan China 12 79 0.8× 120 1.4× 75 1.1× 31 0.5× 144 2.7× 28 363
Seung‐seob Kim South Korea 13 154 1.6× 93 1.1× 239 3.4× 112 1.9× 80 1.5× 48 456
Jordan D. LeGout United States 9 57 0.6× 65 0.7× 142 2.0× 37 0.6× 74 1.4× 29 236
Bryan M. McCauley United States 9 21 0.2× 88 1.0× 177 2.5× 41 0.7× 115 2.2× 22 301
Jie Mei China 8 32 0.3× 53 0.6× 230 3.3× 46 0.8× 52 1.0× 13 273
Teresa Gallo Italy 9 201 2.1× 239 2.7× 68 1.0× 51 0.9× 28 0.5× 17 379
Sarah Walcott‐Sapp United States 10 21 0.2× 37 0.4× 17 0.2× 43 0.7× 242 4.6× 24 332
Fumihiko Wakao Japan 9 82 0.9× 135 1.5× 133 1.9× 93 1.6× 133 2.5× 18 399
Santhalingam Jegatheeswaran United Kingdom 6 27 0.3× 58 0.7× 134 1.9× 162 2.8× 69 1.3× 9 240

Countries citing papers authored by Jill S. Gluskin

Since Specialization
Citations

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

Fields of papers citing papers by Jill S. Gluskin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jill S. Gluskin. 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 Jill S. Gluskin. The network helps show where Jill S. Gluskin may publish in the future.

Co-authorship network of co-authors of Jill S. Gluskin

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

All Works

20 of 20 papers shown
1.
Nissan, Noam, Varadan Sevilimedu, Jill S. Gluskin, et al.. (2025). Hormonal Regulation of Background Parenchymal Enhancement at Contrast-enhanced Mammography. Radiology. 314(2). e241158–e241158. 4 indexed citations
2.
Nissan, Noam, Christopher Comstock, Varadan Sevilimedu, et al.. (2024). Diagnostic Accuracy of Screening Contrast-enhanced Mammography for Women with Extremely Dense Breasts at Increased Risk of Breast Cancer. Radiology. 313(1). e232580–e232580. 9 indexed citations
3.
Nissan, Noam, Victoria L. Mango, Jill S. Gluskin, et al.. (2024). Non-enhancing asymmetries on screening contrast-enhanced mammography: Is further diagnostic workup required?. European Journal of Radiology. 183. 111883–111883. 1 indexed citations
4.
Nissan, Noam, et al.. (2024). Performance of breast MRI for high-risk screening during lactation. European Radiology. 35(5). 2366–2375. 1 indexed citations
5.
6.
Nissan, Noam, Jill S. Gluskin, Tali Amir, et al.. (2024). Extremely dense breasts: A comprehensive review of increased cancer risk and supplementary screening methods. European Journal of Radiology. 182. 111837–111837. 5 indexed citations
7.
Nissan, Noam, Jill S. Gluskin, Sarah Eskreis‐Winkler, et al.. (2023). Breast MRI in patients with implantable loop recorder: initial experience. European Radiology. 34(1). 155–164. 2 indexed citations
8.
Burgess, Mark, Jill S. Gluskin, & Katja Pinker. (2023). From bedside to portable and wearable: development of a conformable ultrasound patch for deep breast tissue imaging. Molecular Oncology. 17(10). 1947–1949. 2 indexed citations
9.
Gluskin, Jill S., et al.. (2022). Incidental liver lesions on baseline breast MRI: Outcomes on subsequent abdominal imaging. Clinical Imaging. 84. 130–134. 2 indexed citations
10.
McIntyre, Caitlin A., Jeffrey Girshman, Debra A. Goldman, et al.. (2022). Differentiation of mucinous cysts and simple cysts of the liver using preoperative imaging. Abdominal Radiology. 47(4). 1333–1340. 2 indexed citations
11.
Moo, Tracy‐Ann, Carolina Rossi Saccarelli, Elizabeth J. Sutton, et al.. (2021). Tumor-Nipple Distance of ≥ 1 cm Predicts Negative Nipple Pathology After Neoadjuvant Chemotherapy. Annals of Surgical Oncology. 28(11). 6024–6029. 2 indexed citations
12.
Gluskin, Jill S., et al.. (2020). Primary lymphoma of the breast: A report of two cases. Clinical Imaging. 68. 295–299. 5 indexed citations
13.
14.
Hammond, William J., Todd E. Heaton, Benjamin A. Farber, et al.. (2017). Thyroid neoplasms: incidental findings on extent of disease evaluation CT for other pediatric malignancies. Journal of Pediatric Surgery. 52(6). 938–943. 3 indexed citations
15.
Gluskin, Jill S., et al.. (2017). Contamination artifact that mimics in-situ carcinoma on contrast-enhanced digital mammography. European Journal of Radiology. 95. 147–154. 17 indexed citations
16.
Gluskin, Jill S., Fabrizio Chegai, Serena Monti, Ettore Squillaci, & Lorenzo Mannelli. (2016). Hepatocellular Carcinoma and Diffusion-Weighted MRI: Detection and Evaluation of Treatment Response. Journal of Cancer. 7(11). 1565–1570. 44 indexed citations
17.
Doussot, Alexandre, Jill S. Gluskin, Bas Groot Koerkamp, et al.. (2015). The accuracy of pre-operative imaging in the management of hepatic cysts. HPB. 17(10). 889–895. 15 indexed citations
18.
Cercek, Andrea, Jill S. Gluskin, Joanne F. Chou, et al.. (2014). Response rates to hepatic arterial infusion (HAI) pump therapy in patients with metastatic colorectal cancer liver metastases (mCRC LM) after progression on all standard chemotherapies.. Journal of Clinical Oncology. 32(3_suppl). 597–597. 1 indexed citations
19.
Gluskin, Jill S., et al.. (2011). Saddle pulmonary embolism: Is it as bad as it looks? A community hospital experience*. Critical Care Medicine. 39(11). 2413–2418. 32 indexed citations
20.
Scapa, Erez, I Boldur, Jill S. Gluskin, et al.. (1992). <I>Helicobacter pylori</I> Before and After Gastric Reduction for Morbid Obesity. Obesity Surgery. 2(4). 371–374. 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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