Neil Gelman

2.0k total citations
42 papers, 1.5k citations indexed

About

Neil Gelman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Neil Gelman has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pediatrics, Perinatology and Child Health and 6 papers in Molecular Biology. Recurrent topics in Neil Gelman's work include Advanced MRI Techniques and Applications (19 papers), Neonatal and fetal brain pathology (7 papers) and NMR spectroscopy and applications (6 papers). Neil Gelman is often cited by papers focused on Advanced MRI Techniques and Applications (19 papers), Neonatal and fetal brain pathology (7 papers) and NMR spectroscopy and applications (6 papers). Neil Gelman collaborates with scholars based in Canada, United States and United Kingdom. Neil Gelman's co-authors include Vijaya Nagesh, Sheena K. Aurora, K.M.A. Welch, Jay M. Gorell, Eric M. Spickler, James R. Ewing, Robert T. Thompson, Robert A. Knight, J.P. Windham and Peter B. Barker and has published in prestigious journals such as PLoS ONE, NeuroImage and PEDIATRICS.

In The Last Decade

Neil Gelman

39 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil Gelman Canada 14 652 486 353 250 232 42 1.5k
Gloria Chiang United States 24 511 0.8× 286 0.6× 123 0.3× 340 1.4× 209 0.9× 91 1.6k
Arístides A. Capizzano United States 24 581 0.9× 411 0.8× 164 0.5× 283 1.1× 84 0.4× 68 1.6k
Vijaya Nagesh United States 17 1.1k 1.6× 624 1.3× 428 1.2× 280 1.1× 66 0.3× 38 2.0k
Shiva Keihaninejad United Kingdom 15 566 0.9× 321 0.7× 260 0.7× 214 0.9× 89 0.4× 32 1.4k
Alina Jurcoane Germany 24 993 1.5× 252 0.5× 124 0.4× 113 0.5× 206 0.9× 59 1.6k
Keith S. Cover Netherlands 16 704 1.1× 240 0.5× 397 1.1× 125 0.5× 73 0.3× 27 1.5k
Mingqiang Xie United States 13 794 1.2× 144 0.3× 287 0.8× 338 1.4× 127 0.5× 25 1.7k
Michael Augustin Austria 14 1.3k 2.0× 540 1.1× 242 0.7× 301 1.2× 146 0.6× 27 2.7k
J.A. Helpern United States 16 719 1.1× 302 0.6× 139 0.4× 209 0.8× 76 0.3× 30 1.4k
Mary A. McLean United Kingdom 34 2.2k 3.3× 565 1.2× 396 1.1× 127 0.5× 173 0.7× 102 3.5k

Countries citing papers authored by Neil Gelman

Since Specialization
Citations

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

Fields of papers citing papers by Neil Gelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Gelman

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Gelman. A scholar is included among the top collaborators of Neil Gelman 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 Neil Gelman. Neil Gelman 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.
2.
Gelman, Neil, Jonathan D. Thiessen, Robert T. Thompson, et al.. (2024). Bacterial association with metals enables in vivo monitoring of urogenital microbiota using magnetic resonance imaging. Communications Biology. 7(1). 1079–1079. 1 indexed citations
3.
Gelman, Neil, et al.. (2023). Monocyte MRI Relaxation Rates Are Regulated by Extracellular Iron and Hepcidin. International Journal of Molecular Sciences. 24(4). 4036–4036. 2 indexed citations
4.
Brackstone, Muriel, Michael Lock, Anat Kornecki, et al.. (2020). The Effect of Registration on Voxel-Wise Tofts Model Parameters and Uncertainties from DCE-MRI of Early-Stage Breast Cancer Patients Using 3DSlicer. Journal of Digital Imaging. 33(5). 1065–1072. 7 indexed citations
5.
Brackstone, Muriel, Michael Lock, Brian Yaremko, et al.. (2019). DCE-MRI assessment of response to neoadjuvant SABR in early stage breast cancer: Comparisons of single versus three fraction schemes and two different imaging time delays post-SABR. Clinical and Translational Radiation Oncology. 21. 25–31. 11 indexed citations
6.
Guidolin, Keegan, Brian Yaremko, Stewart Gaede, et al.. (2019). Stereotactic Image-Guided Neoadjuvant Ablative Single-Dose Radiation, then Lumpectomy, for Early Breast Cancer: The Signal Prospective Single-Arm Trial of Single-Dose Radiation Therapy. Current Oncology. 26(3). 334–340. 33 indexed citations
7.
8.
Goldhawk, Donna E., Neil Gelman, Anindita Sengupta, & Frank S. Prato. (2015). The Interface Between Iron Metabolism and Gene-Based Iron Contrast for MRI. PubMed. 8(Suppl 1). 9–9. 6 indexed citations
9.
Goldhawk, Donna E., et al.. (2012). Using the magnetosome to model effective gene‐based contrast for magnetic resonance imaging. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 4(4). 378–388. 29 indexed citations
10.
Winter, Jeff D., Kenneth M. Tichauer, Neil Gelman, et al.. (2009). Changes in Cerebral Oxygen Consumption and High-Energy Phosphates During Early Recovery in Hypoxic-Ischemic Piglets: A Combined Near-Infrared and Magnetic Resonance Spectroscopy Study. Pediatric Research. 65(2). 181–187. 14 indexed citations
11.
Thompson, Robert T., et al.. (2009). Females Follow a More “Compact” Early Human Brain Development Model Than Males. A Case-Control Study of Preterm Neonates. Pediatric Research. 66(5). 551–554. 26 indexed citations
12.
Conklin, John, Jeff D. Winter, Robert T. Thompson, & Neil Gelman. (2008). High‐contrast 3D neonatal brain imaging with combined T1‐ and T2‐weighted MP‐RAGE. Magnetic Resonance in Medicine. 59(5). 1190–1196. 12 indexed citations
13.
Winter, Jeff D., Robert T. Thompson, & Neil Gelman. (2007). Efficacy of motion artifact reduction in neonatal DW segmented EPI at 3 T using phase correction by numerical optimization and segment data swapping. Magnetic Resonance Imaging. 25(9). 1283–1291. 4 indexed citations
14.
Winter, Jeff D., et al.. (2007). Apparent Diffusion Coefficient Pseudonormalization Time in Neonatal Hypoxic-Ischemic Encephalopathy. Pediatric Neurology. 37(4). 255–262. 37 indexed citations
15.
DeVito, Timothy J., Neil Gelman, Maria Densmore, et al.. (2005). White matter abnormalities in autism detected through transverse relaxation time imaging. NeuroImage. 29(4). 1049–1057. 61 indexed citations
16.
Welch, K.M.A., Vijaya Nagesh, Sheena K. Aurora, & Neil Gelman. (2001). Periaqueductal Gray Matter Dysfunction in Migraine: Cause or the Burden of Illness?. Headache The Journal of Head and Face Pain. 41(7). 629–637. 480 indexed citations
17.
Gelman, Neil, Jay M. Gorell, Peter B. Barker, et al.. (1999). MR Imaging of Human Brain at 3.0 T: Preliminary Report on Transverse Relaxation Rates and Relation to Estimated Iron Content. Radiology. 210(3). 759–767. 304 indexed citations
18.
Gelman, Neil & Michael L. Wood. (1998). Wavelet encoding for improved SNR and retrospective slice thickness adjustment. Magnetic Resonance in Medicine. 39(3). 383–391. 16 indexed citations
19.
Gelman, Neil & Michael L. Wood. (1996). Wavelet encoding for 3D gradient‐echo MR imaging. Magnetic Resonance in Medicine. 36(4). 613–619. 17 indexed citations
20.
Code, R. F., et al.. (1990). Field dependence of19F NMR in rat bone powders. Physics in Medicine and Biology. 35(9). 1271–1286. 6 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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