David J. Larkman

4.5k total citations
48 papers, 3.4k citations indexed

About

David J. Larkman is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Molecular Biology. According to data from OpenAlex, David J. Larkman has authored 48 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Atomic and Molecular Physics, and Optics and 6 papers in Molecular Biology. Recurrent topics in David J. Larkman's work include Advanced MRI Techniques and Applications (32 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and MRI in cancer diagnosis (12 papers). David J. Larkman is often cited by papers focused on Advanced MRI Techniques and Applications (32 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and MRI in cancer diagnosis (12 papers). David J. Larkman collaborates with scholars based in United Kingdom, Italy and Chile. David J. Larkman's co-authors include Joseph V. Hajnal, Rita G. Nunes, I. R. Young, Serena J. Counsell, A. David Edwards, Mark Bydder, Joanna Allsop, Amy H. Herlihy, Mary Rutherford and Frances M. Cowan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and NeuroImage.

In The Last Decade

David J. Larkman

48 papers receiving 3.3k citations

Peers

David J. Larkman
Ronald T. Wakai United States
J.A. Nyenhuis United States
John F. Schenck United States
Jeremy C. Hebden United Kingdom
Jianhui Zhong United States
Ronald T. Wakai United States
David J. Larkman
Citations per year, relative to David J. Larkman David J. Larkman (= 1×) peers Ronald T. Wakai

Countries citing papers authored by David J. Larkman

Since Specialization
Citations

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

Fields of papers citing papers by David J. Larkman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Larkman

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Larkman. A scholar is included among the top collaborators of David J. Larkman 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 David J. Larkman. David J. Larkman 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.
Varela, Marta, Joseph V. Hajnal, Esben Thade Petersen, et al.. (2010). A method for rapid in vivo measurement of blood T1. NMR in Biomedicine. 24(1). 80–88. 76 indexed citations
2.
Malik, Shaihan, David J. Larkman, Declan P. O’Regan, & Joseph V. Hajnal. (2010). Subject-specific water-selective imaging using parallel transmission. Magnetic Resonance in Medicine. 63(4). 988–997. 19 indexed citations
3.
Lee, Li‐Wen, Po‐Wah So, Anthony N. Price, et al.. (2010). Manganese enhancement in non‐CNS organs. NMR in Biomedicine. 23(8). 931–938. 9 indexed citations
4.
Nunes, Rita G., Joseph V. Hajnal, & David J. Larkman. (2009). Combining RF encoding with parallel imaging: a simulation study. Magnetic Resonance Materials in Physics Biology and Medicine. 23(1). 31–38. 2 indexed citations
5.
Marshall, Helen, Joseph V. Hajnal, Jane E. Warren, Richard G. Wise, & David J. Larkman. (2009). An efficient automated z-shim based method to correct through-slice signal loss in EPI at 3T. Magnetic Resonance Materials in Physics Biology and Medicine. 22(3). 187–200. 5 indexed citations
6.
Dudink, Jeroen, David J. Larkman, Olga Kapellou, et al.. (2008). High b-Value Diffusion Tensor Imaging of the Neonatal Brain at 3T. American Journal of Neuroradiology. 29(10). 1966–1972. 38 indexed citations
7.
Counsell, Serena J., Leigh Dyet, David J. Larkman, et al.. (2006). Thalamo-cortical connectivity in children born preterm mapped using probabilistic magnetic resonance tractography. NeuroImage. 34(3). 896–904. 83 indexed citations
8.
Counsell, Serena J., James P. Boardman, David J. Larkman, et al.. (2006). Axial and Radial Diffusivity in Preterm Infants Who Have Diffuse White Matter Changes on Magnetic Resonance Imaging at Term-Equivalent Age. PEDIATRICS. 117(2). 376–386. 186 indexed citations
9.
Atkinson, David, Serena J. Counsell, Joseph V. Hajnal, et al.. (2006). Nonlinear phase correction of navigated multi‐coil diffusion images. Magnetic Resonance in Medicine. 56(5). 1135–1139. 52 indexed citations
10.
George, Andrew J.T., Kishore Bhakoo, Dorian O. Haskard, David J. Larkman, & Peter Reynolds. (2006). Imaging Molecular and Cellular Events in Transplantation. Transplantation. 82(9). 1124–1129. 6 indexed citations
11.
Reynolds, Peter, David J. Larkman, Dorian O. Haskard, et al.. (2006). Detection of Vascular Expression of E-selectin in Vivo with MR Imaging. Radiology. 241(2). 469–476. 53 indexed citations
12.
Larkman, David J., Philip Batchelor, David Atkinson, Daniel Rueckert, & Joseph V. Hajnal. (2005). Beyond the g‐factor limit in sensitivity encoding using joint histogram entropy. Magnetic Resonance in Medicine. 55(1). 153–160. 6 indexed citations
13.
Batchelor, Philip, David Atkinson, Pablo Irarrázaval, et al.. (2005). Matrix description of general motion correction applied to multishot images. Magnetic Resonance in Medicine. 54(5). 1273–1280. 184 indexed citations
14.
Atkinson, David, David J. Larkman, Philipp G. Batchelor, David Hill, & Joseph V. Hajnal. (2004). Coil‐based artifact reduction. Magnetic Resonance in Medicine. 52(4). 825–830. 26 indexed citations
15.
Bydder, Mark, David Atkinson, David J. Larkman, David Hill, & Joseph V. Hajnal. (2003). SMASH navigators. Magnetic Resonance in Medicine. 49(3). 493–500. 37 indexed citations
16.
Oatridge, Angela, Amy H. Herlihy, Andrew L. Wallace, et al.. (2003). Magic Angle Imaging of the Achilles Tendon in Patients with Chronic Tendonopathy. Clinical Radiology. 58(5). 384–388. 26 indexed citations
17.
Bydder, Mark, David J. Larkman, & Joseph V. Hajnal. (2001). Generalized SMASH imaging. Magnetic Resonance in Medicine. 47(1). 160–170. 85 indexed citations
18.
Larkman, David J., Nandita M. deSouza, Mark Bydder, & Joseph V. Hajnal. (2001). An investigation into the use of sensitivity‐encoded techniques to increase temporal resolution in dynamic contrast‐enhanced breast imaging. Journal of Magnetic Resonance Imaging. 14(3). 329–335. 28 indexed citations
19.
Larkman, David J., Amy H. Herlihy, Glyn A. Coutts, & Joseph V. Hajnal. (2000). Elimination of magnetic field foldover artifacts in MR images. Journal of Magnetic Resonance Imaging. 12(5). 795–797. 4 indexed citations
20.
Gilderdale, D. J., Nandita M. deSouza, Glyn A. Coutts, et al.. (1999). Design and use of internal receiver coils for magnetic resonance imaging.. British Journal of Radiology. 72(864). 1141–1151. 25 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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