Jayne Seekins

2.6k total citations
15 papers, 356 citations indexed

About

Jayne Seekins is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jayne Seekins has authored 15 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Neurology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jayne Seekins's work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and Testicular diseases and treatments (2 papers). Jayne Seekins is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (3 papers) and Testicular diseases and treatments (2 papers). Jayne Seekins collaborates with scholars based in United States, Tunisia and Iran. Jayne Seekins's co-authors include Matthew P. Lungren, Pranav Rajpurkar, Safwan S. Halabi, Evan J. Zucker, Chanh D. Tr. Nguyen, Steven Q. H. Truong, Ashwin Agrawal, Anuj Pareek, Francis G. Blankenberg and Andrew Y. Ng and has published in prestigious journals such as PEDIATRICS, Neurosurgery and Theranostics.

In The Last Decade

Jayne Seekins

14 papers receiving 351 citations

Peers

Jayne Seekins

RNMI

PRM

Sumeet Hindocha United Kingdom

Benjamin Miraglio Netherlands

Iñigo Bermejo Netherlands

Natalia Norori United Kingdom

Birgit Ertl‐Wagner Canada

Richard W. Lee United Kingdom

Randy Van Ommeren Canada

Kevin Faust Canada

Joy T. Wu United States

Manudeep Kalra United States

Sumeet Hindocha United Kingdom

Jayne Seekins

178 ×1.3

RNMI

103 ×1.0

82 ×1.0

86 ×1.8

PRM

45 ×1.1

Citations per year, relative to Jayne Seekins Jayne Seekins (= 1×) peers Sumeet Hindocha

Countries citing papers authored by Jayne Seekins

Since Specialization

Citations

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

Fields of papers citing papers by Jayne Seekins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayne Seekins

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

All Works

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15 of 15 papers shown

Maxfield, Charles M., Megan K. Mills, Atul Agarwal, et al.. (2024). Status of LGBTQ+ Inclusion Using a Multi-Institution Assessment of US Radiology Residencies. Journal of the American College of Radiology. 22(1). 108–115.

Seekins, Jayne, et al.. (2024). Characterizing continuous positive airway pressure (CPAP) Belly Syndrome in preterm infants in the neonatal intensive care unit (NICU). Journal of Perinatology. 44(9). 1269–1275. 1 indexed citations

Rashidi, Ali, Lucia Baratto, Ashok J. Theruvath, et al.. (2023). Improved Detection of Bone Metastases in Children and Young Adults with Ferumoxytol-enhanced MRI. Radiology Imaging Cancer. 5(2). e220080–e220080. 9 indexed citations

Maxfield, Charles M., Jennifer E. Gould, Nicholas A. Koontz, et al.. (2023). The Influence of Extracurricular Activities on Radiology Resident Selection Decisions. Journal of the American College of Radiology. 21(6). 949–958. 1 indexed citations

Saïd, Mourad Ben, et al.. (2023). Brain Tumor Radiogenomic Classification of O⁶-Methylguanine-DNA Methyltransferase Promoter Methylation in Malignant Gliomas-Based Transfer Learning. Cancer Control. 30. 2915587197–2915587197. 8 indexed citations

Agrawal, Ashwin, Anuj Pareek, Steven Q. H. Truong, et al.. (2022). Benchmarking saliency methods for chest X-ray interpretation. Nature Machine Intelligence. 4(10). 867–878. 107 indexed citations

Behr, Gerald, Ajaykumar C. Morani, Maddy Artunduaga, et al.. (2022). Imaging of pediatric ovarian tumors: A COG Diagnostic Imaging Committee/SPR Oncology Committee White Paper. Pediatric Blood & Cancer. 70(S4). e29995–e29995. 5 indexed citations

Behr, Gerald, Ajaykumar C. Morani, Maddy Artunduaga, et al.. (2022). Imaging of pediatric testicular tumors: A COG Diagnostic Imaging Committee/SPR Oncology Committee White Paper. Pediatric Blood & Cancer. 70(S4). e29988–e29988. 2 indexed citations

Yeom, Kristen W., et al.. (2022). Trends of Artificial Intelligence and Big Data for E-Health. 4 indexed citations

10.

Zhang, Michael, Elizabeth Tong, Maryam Mohammadzadeh, et al.. (2021). Machine learning approach to differentiation of peripheral schwannomas and neurofibromas: A multi-center study. Neuro-Oncology. 24(4). 601–609. 12 indexed citations

11.

Zhang, Michael, Elizabeth Tong, Edward H. Lee, et al.. (2021). Machine-Learning Approach to Differentiation of Benign and Malignant Peripheral Nerve Sheath Tumors: A Multicenter Study. Neurosurgery. 89(3). 509–517. 10 indexed citations

12.

Muehe, Anne M., Florian Siedek, Ashok J. Theruvath, et al.. (2020). Differentiation of benign and malignant lymph nodes in pediatric patients on ferumoxytol-enhanced PET/MRI. Theranostics. 10(8). 3612–3621. 30 indexed citations

13.

Patel, Bhavik N., Louis Rosenberg, Gregg Willcox, et al.. (2019). Human–machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digital Medicine. 2(1). 111–111. 140 indexed citations

14.

Zucker, Evan J., Matthew P. Lungren, Katie Shpanskaya, et al.. (2019). Deep learning to automate Brasfield chest radiographic scoring for cystic fibrosis. Journal of Cystic Fibrosis. 19(1). 131–138. 25 indexed citations

15.

Seekins, Jayne, et al.. (2008). Utility of Total Lower Extremity Radiography Investigation of Nonweight Bearing in the Young Child. PEDIATRICS. 121(4). e817–e820. 2 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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