J.H. Duyn

660 total citations
12 papers, 527 citations indexed

About

J.H. Duyn is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, J.H. Duyn has authored 12 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Atomic and Molecular Physics, and Optics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in J.H. Duyn's work include Advanced MRI Techniques and Applications (6 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Electromagnetic Scattering and Analysis (2 papers). J.H. Duyn is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Electromagnetic Scattering and Analysis (2 papers). J.H. Duyn collaborates with scholars based in United States, Austria and France. J.H. Duyn's co-authors include Hellmut Merkle, Peter van Gelderen, Francesca Bagnato, Simon Hametner, Hans Lassmann, Bin Yao, Giovanni Di Chiro, Simona Bonavita, Gioacchino Tedeschi and Jeffry R. Alger and has published in prestigious journals such as NeuroImage, Brain and Biological Psychiatry.

In The Last Decade

J.H. Duyn

12 papers receiving 523 citations

Peers

J.H. Duyn
David Kamson United States
F. Isamat Spain
A C Price United States
Tian Liu China
R. Pokrupa Canada
Nancy R. Clendenon United States
Kehuan Luo United States
J.H. Duyn
Citations per year, relative to J.H. Duyn J.H. Duyn (= 1×) peers Matthias Bruehlmeier

Countries citing papers authored by J.H. Duyn

Since Specialization
Citations

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

Fields of papers citing papers by J.H. Duyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.H. Duyn. 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 J.H. Duyn. The network helps show where J.H. Duyn may publish in the future.

Co-authorship network of co-authors of J.H. Duyn

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

All Works

12 of 12 papers shown
1.
Liu, Xiaopei, Catie Chang, Hendrik Mandelkow, et al.. (2017). 0125 A METHOD FOR STUDYING NEURAL CIRCUITS DURING ALL-NIGHT FUNCTIONAL MAGNETIC RESONANCE IMAGING SLEEP STUDIES. SLEEP. 40(suppl_1). A47–A47. 3 indexed citations
2.
Bagnato, Francesca, Simon Hametner, Bin Yao, et al.. (2011). Tracking iron in multiple sclerosis: a combined imaging and histopathological study at 7 Tesla. Brain. 134(12). 3602–3615. 280 indexed citations
3.
Shmueli, Karin, et al.. (2010). Sensitivity of MRI resonance frequency to the orientation of brain tissue microstructure (vol 107, pg 5130, 2010). UCL Discovery (University College London). 7 indexed citations
4.
Fukunaga, Masaki, et al.. (2009). R2* variations within grey and white matter correlate with histochemical iron stain of the human brain. NeuroImage. 47. S72–S72. 1 indexed citations
5.
Fukunaga, Masaki, et al.. (2009). Correlations within the Default-Mode Network are altered during deep sleep. NeuroImage. 47. S147–S147. 2 indexed citations
6.
Wang, Shumin & J.H. Duyn. (2009). Three-dimensional automatic mesh generation for hybrid electromagnetic simulations. IEEE Antennas and Propagation Magazine. 51(2). 71–85. 4 indexed citations
7.
Shmueli, Karin, et al.. (2009). The Contribution of Exchange to MRI Phase Contrast in the Human Brain. NeuroImage. 47. S72–S72. 5 indexed citations
8.
Fukunaga, Masaki, Peter van Gelderen, S.J. Dodd, et al.. (2008). Iron as a Source of Laminar Contrast in MRI of Human Cerebral Cortex. 1 indexed citations
9.
Wang, Shumin & J.H. Duyn. (2006). A split-field iterative ADI method for simulating transverse-magnetic waves in lossy media. IEEE Transactions on Microwave Theory and Techniques. 54(5). 2196–2202. 6 indexed citations
10.
Bertolino, Alessandro, et al.. (2000). Physiological dysfunction of the prefrontal cortex in schizophrenia revisited. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 7 indexed citations
11.
Tedeschi, Gioacchino, Nina Lundbom, Simona Bonavita, et al.. (1997). Increased choline signal coinciding with malignant degeneration of cerebral gliomas: a serial proton magnetic resonance spectroscopy imaging study. Journal of neurosurgery. 87(4). 516–524. 209 indexed citations
12.
Bertolino, Alessandro, Joseph H. Callicott, Igor Elman, et al.. (1996). Proton magnetic resonance spectroscopic imaging in drug free patients with schizophrenia: Regional neuronal damage. Biological Psychiatry. 39(7). 634–634. 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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