Ryan Chamberlain

598 total citations
15 papers, 454 citations indexed

About

Ryan Chamberlain is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology and Molecular Biology. According to data from OpenAlex, Ryan Chamberlain has authored 15 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Ryan Chamberlain's work include Advanced MRI Techniques and Applications (7 papers), Alzheimer's disease research and treatments (6 papers) and Prion Diseases and Protein Misfolding (4 papers). Ryan Chamberlain is often cited by papers focused on Advanced MRI Techniques and Applications (7 papers), Alzheimer's disease research and treatments (6 papers) and Prion Diseases and Protein Misfolding (4 papers). Ryan Chamberlain collaborates with scholars based in United States, Finland and South Korea. Ryan Chamberlain's co-authors include Michael Garwood, Clifford R. Jack, Thomas M. Wengenack, Joseph F. Poduslo, Małgorzata Marjańska, Curtis A. Corum, Jang‐Yeon Park, Kâmil Uǧurbil, Essa Yacoub and Geoffry L. Curran and has published in prestigious journals such as NeuroImage, Neuroscience and Magnetic Resonance in Medicine.

In The Last Decade

Ryan Chamberlain

15 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan Chamberlain United States	12	216	161	84	68	65	15	454
Shujuan Fan United States	15	219 1.0×	102 0.6×	75 0.9×	96 1.4×	94 1.4×	29	604
John Q. Nguyen United States	13	227 1.1×	71 0.4×	185 2.2×	76 1.1×	55 0.8×	23	625
Dung Minh Hoang United States	10	199 0.9×	152 0.9×	75 0.9×	91 1.3×	82 1.3×	17	470
Mustafa Çavuşoğlu Switzerland	10	202 0.9×	37 0.2×	93 1.1×	33 0.5×	39 0.6×	19	424
Xiaoming Wang China	13	146 0.7×	29 0.2×	94 1.1×	68 1.0×	54 0.8×	48	496
Jaivijay Ramu United States	11	177 0.8×	30 0.2×	74 0.9×	69 1.0×	54 0.8×	16	479
Bart D. van Rooijen Netherlands	14	115 0.5×	426 2.6×	45 0.5×	252 3.7×	40 0.6×	17	880
Emily J. Gilles United States	11	61 0.3×	176 1.1×	25 0.3×	86 1.3×	23 0.4×	17	403
Young R. Kim United States	16	173 0.8×	34 0.2×	69 0.8×	166 2.4×	21 0.3×	26	568
Henryk Faas United Kingdom	13	81 0.4×	138 0.9×	37 0.4×	189 2.8×	12 0.2×	25	668

Countries citing papers authored by Ryan Chamberlain

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Chamberlain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Chamberlain

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

O'Malley, Lauren, et al.. (2025). A novel technological approach to preventing distracted driving. Journal of Safety Research. 93. 24–30. 1 indexed citations

Tanenbaum, Lawrence, Greg Zaharchuk, Ajit Shankaranarayanan, et al.. (2023). Deep Learning–Generated Synthetic MR Imaging STIR Spine Images Are Superior in Image Quality and Diagnostically Equivalent to Conventional STIR: A Multicenter, Multireader Trial. American Journal of Neuroradiology. 44(8). 987–993. 11 indexed citations

Zhang, Jinjin, Ryan Chamberlain, Michael L. Etheridge, et al.. (2014). Quantifying iron‐oxide nanoparticles at high concentration based on longitudinal relaxation using a three‐dimensional SWIFT look‐locker sequence. Magnetic Resonance in Medicine. 71(6). 1982–1988. 46 indexed citations

Marjańska, Małgorzata, Stephen D. Weigand, Gregory M. Preboske, et al.. (2013). Treatment effects in a transgenic mouse model of Alzheimer’s disease: A magnetic resonance spectroscopy study after passive immunization. Neuroscience. 259. 94–100. 15 indexed citations

Sillerud, Laurel O., Ryan Chamberlain, Robert A. Orlando, et al.. (2013). SPION-Enhanced Magnetic Resonance Imaging of Alzheimer's Disease Plaques in AβPP/PS-1 Transgenic Mouse Brain. Journal of Alzheimer s Disease. 34(2). 349–365. 76 indexed citations

Petryk, Alicia A., Barjor Gimi, Andrew J. Giustini, et al.. (2012). In vivo imaging and quantification of iron oxide nanoparticle uptake and biodistribution. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8317. 83170R–83170R. 12 indexed citations

Chamberlain, Ryan, et al.. (2012). Elevated Blood Pressure Causes Larger Hematoma in a Rat Model of Intracerebral Hemorrhage. Translational Stroke Research. 3(4). 428–434. 12 indexed citations

Park, Jang‐Yeon, Steen Moeller, Ute Goerke, et al.. (2011). Short echo‐time 3D radial gradient‐echo MRI using concurrent dephasing and excitation. Magnetic Resonance in Medicine. 67(2). 428–436. 11 indexed citations

Chamberlain, Ryan, Thomas M. Wengenack, Joseph F. Poduslo, Michael Garwood, & Clifford R. Jack. (2011). Magnetic Resonance Imaging of Amyloid Plaques in Transgenic Mouse Models of Alzheimers Disease. Current Medical Imaging Formerly Current Medical Imaging Reviews. 7(1). 3–7. 21 indexed citations

10.

Poduslo, Joseph F., Geoffry L. Curran, Gregory M. Preboske, et al.. (2011). Targeting Vascular Amyloid in Arterioles of Alzheimer Disease Transgenic Mice With Amyloid β Protein Antibody-Coated Nanoparticles. Journal of Neuropathology & Experimental Neurology. 70(8). 653–661. 54 indexed citations

11.

Idiyatullin, Djaudat, Curtis A. Corum, Steen Moeller, et al.. (2011). Detecting Fleeting MRI Signals with Frequency-Modulated Pulses. AIP conference proceedings. 1330. 23–26. 2 indexed citations

12.

Niskanen, Juha‐Pekka, Ryan Chamberlain, J. Huttunen, et al.. (2010). Simultaneous fMRI and local field potential measurements during epileptic seizures in medetomidine‐sedated rats using raser pulse sequence. Magnetic Resonance in Medicine. 64(4). 1191–1199. 34 indexed citations

13.

Wengenack, Thomas M., Denise A. Reyes, Geoffry L. Curran, et al.. (2010). Regional differences in MRI detection of amyloid plaques in AD transgenic mouse brain. NeuroImage. 54(1). 113–122. 33 indexed citations

14.

Chamberlain, Ryan, Denise A. Reyes, Geoffrey L. Curran, et al.. (2009). Comparison of amyloid plaque contrast generated by T₂‐weighted, T‐weighted, and susceptibility‐weighted imaging methods in transgenic mouse models of Alzheimer's disease. Magnetic Resonance in Medicine. 61(5). 1158–1164. 53 indexed citations

15.

Chamberlain, Ryan, Jang‐Yeon Park, Curtis A. Corum, et al.. (2007). RASER: A new ultrafast magnetic resonance imaging method. Magnetic Resonance in Medicine. 58(4). 794–799. 73 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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