Keith Hulsey

869 total citations
21 papers, 496 citations indexed

About

Keith Hulsey is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Molecular Biology. According to data from OpenAlex, Keith Hulsey has authored 21 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Spectroscopy and 3 papers in Molecular Biology. Recurrent topics in Keith Hulsey's work include Advanced MRI Techniques and Applications (14 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and MRI in cancer diagnosis (5 papers). Keith Hulsey is often cited by papers focused on Advanced MRI Techniques and Applications (14 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and MRI in cancer diagnosis (5 papers). Keith Hulsey collaborates with scholars based in United States, South Korea and Finland. Keith Hulsey's co-authors include Kevin S. King, Ronald M. Peshock, Roderick McColl, Changho Choi, Colby Ayers, Sandeep Ganji, Ivan Dimitrov, Anthony R. Whittemore, Myron Weiner and Elizabeth A. Maher and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Stroke.

In The Last Decade

Keith Hulsey

21 papers receiving 492 citations

Peers

Keith Hulsey

RNMI

EPIDE

CCM

Darwood B. Hance United States

David Vállez García Netherlands

G.P. Pelliccioli Italy

Christopher Coello United Kingdom

Rasmus Aamand Denmark

Richard P. Paczynski United States

Karim Farid France

Esa Eronen Finland

Minjie Tian China

Bénédicte Maréchal Switzerland

Darwood B. Hance United States

Keith Hulsey

162 ×0.8

RNMI

117 ×1.3

58 ×0.9

43 ×0.6

EPIDE

55 ×0.8

CCM

Citations per year, relative to Keith Hulsey Keith Hulsey (= 1×) peers Darwood B. Hance

Countries citing papers authored by Keith Hulsey

Since Specialization

Citations

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

Fields of papers citing papers by Keith Hulsey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Hulsey

This figure shows the co-authorship network connecting the top 25 collaborators of Keith Hulsey. A scholar is included among the top collaborators of Keith Hulsey 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 Keith Hulsey. Keith Hulsey 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

Kay, Fernando Uliana, Arzu Canan, Keith Hulsey, et al.. (2025). Diagnostic Accuracy of On-Premise Automated Coronary CT Angiography Analysis Based on Coronary Artery Disease Reporting and Data System 2.0. Radiology. 315(2). e242087–e242087. 3 indexed citations

Nguyen, Son Hoang, Keith Hulsey, Murat Can Çobanoğlu, et al.. (2024). Machine Learning Prediction of Lymph Node Metastasis in Breast Cancer: Performance of a Multi-institutional MRI-based 4D Convolutional Neural Network. Radiology Imaging Cancer. 6(3). e230107–e230107. 3 indexed citations

Xi, Yin, et al.. (2024). Radiomics Analysis of Contrast-Enhanced Breast MRI for Optimized Modelling of Virtual Prognostic Biomarkers in Breast Cancer. SHILAP Revista de lepidopterología. 20(2). 122–128. 2 indexed citations

Wang, Yiming, et al.. (2023). A 3D‐printed phantom for quality‐controlled reproducibility measurements of arterial spin labeled perfusion. Magnetic Resonance in Medicine. 91(2). 819–827. 2 indexed citations

Goyal, Manu, et al.. (2022). Automated kidney segmentation by mask R-CNN in T2-weighted magnetic resonance imaging. 9 indexed citations

Harrison, Lindsay, Jeremy Warshauer, Beverley Adams‐Huet, et al.. (2016). Mechanisms of Action of Liraglutide in Patients With Type 2 Diabetes Treated With High-Dose Insulin. The Journal of Clinical Endocrinology & Metabolism. 101(4). 1798–1806. 56 indexed citations

Hancu, Ileana, Seung‐Kyun Lee, Keith Hulsey, et al.. (2016). Distortion correction in diffusion‐weighted imaging of the breast: Performance assessment of prospective, retrospective, and combined (prospective + retrospective) approaches. Magnetic Resonance in Medicine. 78(1). 247–253. 22 indexed citations

Stan, Ana D., Subroto Ghose, Chenguang Zhao, et al.. (2014). Magnetic resonance spectroscopy and tissue protein concentrations together suggest lower glutamate signaling in dentate gyrus in schizophrenia. Molecular Psychiatry. 20(4). 433–439. 64 indexed citations

Hulsey, Keith, Tomoyuki Mashimo, Abhishek Banerjee, et al.. (2014). ¹H MRS characterization of neurochemical profiles in orthotopic mouse models of human brain tumors. NMR in Biomedicine. 28(1). 108–115. 10 indexed citations

10.

Gupta, Mohit, Kevin S. King, Rajiv N. Srinivasa, et al.. (2014). Association of 3.0-T Brain Magnetic Resonance Imaging Biomarkers With Cognitive Function in the Dallas Heart Study. JAMA Neurology. 72(2). 170–170. 18 indexed citations

11.

Strickland, Amanda, Heidi Rossetti, Ronald M. Peshock, et al.. (2014). Urinary Albumin to Creatinine Ratio as Potential Biomarker for Cerebral Microvascular Disease. Current Neurovascular Research. 11(3). 242–247. 9 indexed citations

12.

Ganji, Sandeep, et al.. (2014). Measurement of regional variation of GABA in the human brain by optimized point‐resolved spectroscopy at 7 T in vivo. NMR in Biomedicine. 27(10). 1167–1175. 27 indexed citations

13.

King, Kevin S., Keith Hulsey, Roderick McColl, et al.. (2013). White Matter Hyperintensities: Use of Aortic Arch Pulse Wave Velocity to Predict Volume Independent of Other Cardiovascular Risk Factors. Radiology. 267(3). 709–717. 49 indexed citations

14.

King, Kevin S., Ronald M. Peshock, Heidi Rossetti, et al.. (2013). Effect of Normal Aging Versus Hypertension, Abnormal Body Mass Index, and Diabetes Mellitus on White Matter Hyperintensity Volume. Stroke. 45(1). 255–257. 53 indexed citations

15.

Choi, Changho, Sandeep Ganji, Keith Hulsey, et al.. (2013). In vivo detection of citrate in brain tumors by ¹H magnetic resonance spectroscopy at 3T. Magnetic Resonance in Medicine. 72(2). 316–323. 9 indexed citations

16.

Choi, Changho, Sandeep Ganji, Keith Hulsey, et al.. (2013). A comparative study of short‐ and long‐TE ¹H MRS at 3 T for in vivo detection of 2‐hydroxyglutarate in brain tumors. NMR in Biomedicine. 26(10). 1242–1250. 68 indexed citations

17.

Peshock, Ronald M., Roderick McColl, Keith Hulsey, et al.. (2012). MR Imaging of Hippocampal Asymmetry at 3T in a Multiethnic, Population-Based Sample: Results from the Dallas Heart Study. American Journal of Neuroradiology. 34(4). 752–757. 36 indexed citations

18.

Banerjee, Abhishek, Sandeep Ganji, Keith Hulsey, et al.. (2012). Measurement of glycine in gray and white matter in the human brain in vivo by ¹H MRS at 7.0 T. Magnetic Resonance in Medicine. 68(2). 325–331. 16 indexed citations

19.

Hulsey, Keith, Mohit Gupta, Kevin S. King, et al.. (2012). Automated quantification of white matter disease extent at 3 T: Comparison with volumetric readings. Journal of Magnetic Resonance Imaging. 36(2). 305–311. 19 indexed citations

20.

King, Kevin S., Ronald M. Peshock, Matthew Warren, et al.. (2012). Evaluation of a Practical Visual MRI Rating Scale of Brain White Matter Hyperintensities for Clinicians Based on Largest Lesion Size Regardless of Location. American Journal of Neuroradiology. 34(4). 797–801. 8 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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