Stephen Dodd

3.4k total citations · 1 hit paper
57 papers, 2.2k citations indexed

About

Stephen Dodd is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Stephen Dodd has authored 57 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Materials Chemistry and 11 papers in Biomedical Engineering. Recurrent topics in Stephen Dodd's work include Advanced MRI Techniques and Applications (32 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Advanced NMR Techniques and Applications (8 papers). Stephen Dodd is often cited by papers focused on Advanced MRI Techniques and Applications (32 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Advanced NMR Techniques and Applications (8 papers). Stephen Dodd collaborates with scholars based in United States, Australia and United Kingdom. Stephen Dodd's co-authors include Alan P. Koretsky, Jeff H. Duyn, Tie‐Qiang Li, Chien Ho, Karin Shmueli, Peter van Gelderen, Jacco A. de Zwart, Mangay Williams, Xin Yu and Donald S. Williams and has published in prestigious journals such as Nature, Circulation and Biomaterials.

In The Last Decade

Stephen Dodd

52 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data

2009 437 citations Karin Shmueli, Jacco A. de Zwart et al. Magnetic Resonance in Medicine profile →

Peers

Countries citing papers authored by Stephen Dodd

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Dodd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Dodd

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

#	Work	Indexed citations
1	Shaped Magnetogel Microparticles for Multispectral Magnetic Resonance Contrast and Sensing 2023 ·ACS Sensors ·Samuel D. Oberdick, Stephen Dodd, Alan P. Koretsky, Gary Zabow	0
2	Progressive Spread of Beta-amyloid Pathology in an Olfactory-driven Amyloid Precursor Protein Mouse Model 2023 ·Neuroscience ·Helen C. Murray, (unknown), Li Bai, Nadia Bouraoud, Stephen Dodd, (unknown), Brigid Ryan, Maurice A. Curtis, Alan P. Koretsky, Leonardo Belluscio	4
3	Sensitive detection of extremely small iron oxide nanoparticles in living mice using MP2RAGE with advanced image co-registration 2021 ·Scientific Reports ·Joong H. Kim, Stephen Dodd, Frank Q. Ye, Andrew K. Knutsen, Duong Thanh Nguyen, Haitao Wu, (unknown), Simone Mastrogiacomo, Thomas J. Esparza, Rolf E. Swenson, David L. Brody	4
4	Ex vivo MR microscopy of a human brain with multiple sclerosis: Visualizing individual cells in tissue using intrinsic iron 2020 ·NeuroImage ·Govind Nair, Stephen Dodd, Seung-Kwon Ha, Alan P. Koretsky, Daniel S. Reich	8
5	Self-organized Mn²⁺-block copolymer complexes and their use for in vivo MR imaging of biological processes 2014 ·Journal of Materials Chemistry B ·Nikorn Pothayee, (unknown), Maria A. Aronova, Chunqi Qian, Nadia Bouraoud, Stephen Dodd, Richard D. Leapman, Alan P. Koretsky	4
6	Deciphering laminar-specific neural inputs with line-scanning fMRI 2013 ·Nature Methods ·Xin Yu, Chunqi Qian, (unknown), Stephen Dodd, Alan P. Koretsky	127
7	Sensitivity enhancement of remotely coupled NMR detectors using wirelessly powered parametric amplification 2012 ·Magnetic Resonance in Medicine ·Chunqi Qian, Joseph Murphy‐Boesch, Stephen Dodd, Alan P. Koretsky	24
8	Mapping cortical representations of the rodent forepaw and hindpaw with BOLD fMRI reveals two spatial boundaries 2011 ·NeuroImage ·(unknown), Carolyn W.‐H. Wu, Stephen Dodd, Alan P. Koretsky	14
9	Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data breakdown → 2009 ·Magnetic Resonance in Medicine ·Karin Shmueli, Jacco A. de Zwart, Peter van Gelderen, Tie‐Qiang Li, Stephen Dodd, Jeff H. Duyn	437
10	Characterization of T₂* heterogeneity in human brain white matter 2009 ·Magnetic Resonance in Medicine ·Tie‐Qiang Li, Bing Yao, Peter van Gelderen, Hellmut Merkle, Stephen Dodd, Lalith Talagala, Alan P. Koretsky, Jeff H. Duyn	67
11	MRI of the basement membrane using charged nanoparticles as contrast agents 2008 ·Magnetic Resonance in Medicine ·Kevin M. Bennett, Hua Zhou, James P. Sumner, Stephen Dodd, Nadia Bouraoud, Kent Doi, Robert A. Star, Alan P. Koretsky	89
12	BOLD fMRI and somatosensory evoked potentials are well correlated over a broad range of frequency content of somatosensory stimulation of the rat forepaw 2007 ·Brain Research ·(unknown), Afonso C. Silva, Stephen Dodd, Alan P. Koretsky	25
13	Water in tendon: Orientational analysis of the free induction decay 2005 ·Magnetic Resonance in Medicine ·(unknown), Gary D. Fullerton, Stephen Dodd, Ivan L. Cameron	42
14	Catheter confocal fluorescence imaging and functional magnetic resonance imaging of local and systems level recovery in the regenerating rodent sciatic nerve 2005 ·NeuroImage ·Galit Pelled, Stephen Dodd, Alan P. Koretsky	18
15	Orientational dependence of intermolecular double quantum coherence (iDQC) signal from tendon tissue 2005 ·Magnetic Resonance in Medicine ·(unknown), Geoffrey D. Clarke, Stephen Dodd, Gary D. Fullerton	5
16	Temperature mapping of laser-induced hyperthermia in an ocular phantom using magnetic resonance thermography 2004 ·Journal of Biomedical Optics ·Saher Maswadi, Stephen Dodd, Jia‐Hong Gao, Randolph D. Glickman	10
17	Three‐pool model of white matter 2002 ·Journal of Magnetic Resonance Imaging ·Jack L. Lancaster, Trevor Andrews, L. Jean Hardies, Stephen Dodd, Peter T. Fox	111
18	Magnetic resonance imaging detection of rat renal transplant rejection by monitoring macrophage infiltration 2000 ·Kidney International ·Yuqing Zhang, Stephen Dodd, Kristy Hendrich, Mangay Williams, Chien Ho	75
19	Cardiac function of transplanted rat hearts using a working heart model assessed by magnetic resonance imaging 1999 ·The Journal of Heart and Lung Transplantation ·(unknown), Stephen Dodd, Pedro J. del Nido, Donald S. Williams, Chien Ho	15
20	The design of biplanar, shielded, minimum energy, or minimum power pulsed B0 coils 1995 ·Magnetic Resonance Materials in Physics Biology and Medicine ·‪Stuart Crozier‬, Stephen Dodd, (unknown), James Field, David M. Doddrell	10

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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