John C. Waterton

11.8k total citations · 3 hit papers
191 papers, 7.2k citations indexed

About

John C. Waterton is a scholar working on Radiology, Nuclear Medicine and Imaging, Rheumatology and Biomedical Engineering. According to data from OpenAlex, John C. Waterton has authored 191 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Rheumatology and 26 papers in Biomedical Engineering. Recurrent topics in John C. Waterton's work include Advanced MRI Techniques and Applications (78 papers), MRI in cancer diagnosis (67 papers) and Osteoarthritis Treatment and Mechanisms (30 papers). John C. Waterton is often cited by papers focused on Advanced MRI Techniques and Applications (78 papers), MRI in cancer diagnosis (67 papers) and Osteoarthritis Treatment and Mechanisms (30 papers). John C. Waterton collaborates with scholars based in United Kingdom, United States and Sweden. John C. Waterton's co-authors include Alan Jackson, George K. Radda, Keith R. Thulborn, Paul M. Matthews, Geoff J.M. Parker, Chris Taylor, James P.B. O’Connor, Simon P. Robinson, D. Checkley and Xiaoping Zhu and has published in prestigious journals such as The Lancet, Journal of the American Chemical Society and Circulation.

In The Last Decade

John C. Waterton

185 papers receiving 7.0k citations

Hit Papers

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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.

Oxygenation dependence of the transverse relaxation time of water protons in whole blood at high field

1982 823 citations John C. Waterton et al. profile →
Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome

2014 495 citations James P.B. O’Connor, Chris J. Rose et al. Clinical Cancer Research profile →
A minimum description length approach to statistical shape modeling

2002 388 citations John C. Waterton, Chris Taylor et al. profile →

Peers

Countries citing papers authored by John C. Waterton

Since Specialization

Citations

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

Fields of papers citing papers by John C. Waterton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Waterton. 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 John C. Waterton. The network helps show where John C. Waterton may publish in the future.

Co-authorship network of co-authors of John C. Waterton

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Waterton. A scholar is included among the top collaborators of John C. Waterton 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 John C. Waterton. John C. Waterton 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	Assessment of hepatic transporter function in rats using dynamic gadoxetate-enhanced MRI: a reproducibility study 2024 ·Magnetic Resonance Materials in Physics Biology and Medicine ·(unknown), Catherine D. G. Hines, (unknown), Iina Laitinen, (unknown), Paul Hockings, Gunnar Schütz, (unknown), Steven Sourbron, John C. Waterton	1
2	MRI Apparent Diffusion Coefficient (ADC) as a Biomarker of Tumour Response: Imaging-Pathology Correlation in Patients with Hepatic Metastases from Colorectal Cancer (EORTC 1423) 2023 ·Cancers ·Alan Jackson, (unknown), Nandita M. deSouza, (unknown), Bart K. M. Jacobs, Saskia Litière, (unknown), Catherine Julié, Arturo Chiti, Jens Theysohn, Juan Ramón Ayuso, Sigrid Stroobants, John C. Waterton	2
3	Bias, Repeatability and Reproducibility of Liver T₁ Mapping With Variable Flip Angles 2022 ·Journal of Magnetic Resonance Imaging ·(unknown), Daniel J. Wilson, David Shelley, Gavin Bainbridge, (unknown), Iosif Mendichovszky, Martin J. Graves, J. Ashley Guthrie, John C. Waterton, Geoff J.M. Parker, Steven Sourbron	9
4	Evaluation of diffusion-weighted MRI and (18F) fluorothymidine-PET biomarkers for early response assessment in patients with operable non-small cell lung cancer treated with neoadjuvant chemotherapy 2019 ·BJR\|Open ·Dominic Carlin, (unknown), Gem Kramer, Yan Liu, John C. Waterton, Arturo Chiti, Martina Sollini, Adrianus J. de Langen, Mary O'Brien, María Urbanowicz, Bart K. M. Jacobs, Nandita M. deSouza	5
5	Diffusion-weighted (DW) MRI in lung cancers: ADC test-retest repeatability 2017 ·European Radiology ·(unknown), (unknown), John C. Waterton, Arturo Chiti, Sigrid Stroobants, Joost P.A. Kuijer, Matthew Blackledge, Veronica A. Morgan, Nandita M. deSouza	38
6	Oxygen-Enhanced MRI Accurately Identifies, Quantifies, and Maps Tumor Hypoxia in Preclinical Cancer Models 2015 ·Cancer Research ·James P.B. O’Connor, Jessica K.R. Boult, Yann Jamin, Muhammad Babur, Katherine G. Finegan, Kaye J. Williams, Ross A. Little, Alan Jackson, Geoff J.M. Parker, Andrew R. Reynolds, John C. Waterton, Simon P. Robinson	127
7	Exploring the Biomechanical Properties of Brain Malignancies and Their Pathologic Determinants In Vivo with Magnetic Resonance Elastography 2015 ·Cancer Research ·Yann Jamin, Jessica K.R. Boult, Jin Li, Sergey Popov, Philippe Garteiser, (unknown), Craig Cummings, Gary Box, Suzanne A. Eccles, Chris Jones, John C. Waterton, Jeffrey C. Bamber, Ralph Sinkus, Simon P. Robinson	89
8	Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome breakdown → 2014 ·Clinical Cancer Research ·James P.B. O’Connor, Chris J. Rose, John C. Waterton, Richard A.D. Carano, Geoff J.M. Parker, Alan Jackson	495
9	Assessment of gadoxetate DCE‐MRI as a biomarker of hepatobiliary transporter inhibition 2013 ·NMR in Biomedicine ·(unknown), Simone H. Stahl, James Yates, Neil Woodhouse, J. Gerry Kenna, Huw B. Jones, John C. Waterton, Paul Hockings	32
10	Improving the Diagnosis and Management of Neuroendocrine Tumors: Utilizing New Advances in Biomarker and Molecular Imaging Science 2013 ·Neuroendocrinology ·Valeria Giandomenico, Irvin M. Modlin, Fredrik Pontén, Mats Nilsson, Ulf Landegren, (unknown), Mohid S. Khan, Robert P. Millar, Bengt Långström, Jürgen Borlak, Barbro Eriksson, (unknown), Lars Baltzer, John C. Waterton, Håkan Åhlström, Kjell Öberg	15
11	A quantitative comparison of the influence of individual versus population‐derived vascular input functions on dynamic contrast enhanced‐MRI in small animals 2011 ·Magnetic Resonance in Medicine ·Mary E. Loveless, Jane Halliday, Carsten Liess, Lei Xu, Richard Dortch, Jennifer G. Whisenant, John C. Waterton, John C. Gore, Thomas E. Yankeelov	50
12	Multiple‐bolus dynamic contrast‐enhanced MRI in the pancreas during a glucose challenge 2010 ·Journal of Magnetic Resonance Imaging ·Josephine H. Naish, Charles Hutchinson, (unknown), Caleb Roberts, John C. Waterton, Paul Hockings, Chris Taylor, Geoff J.M. Parker	10
13	Abstract 1912: Time Course of Change in Plaque Composition Associated with Rosuvastatin Therapy as Assessed by High-Resolution Magnetic Resonance Imaging 2007 ·Circulation ·Minako Oikawa, Chun Yuan, Hunter R. Underhill, Xue-Qiao Zhao, Larry W. Kraiss, Dennis L. Parker, Tobias Saam, Baocheng Chu, Norihide Takaya, Fei Liu, Nayak L. Polissar, Blažej Neradilek, Joel S. Raichlen, Valerie A. Cain, John C. Waterton, (unknown), Thomas S. Hatsukami	0
14	Comparative study into the robustness of compartmental modeling and model‐free analysis in DCE‐MRI studies 2006 ·Journal of Magnetic Resonance Imaging ·Caleb Roberts, (unknown), Andrew Stone, Alan Jackson, John C. Waterton, Geoff J.M. Parker	124
15	Improved quantitative dynamic regional oxygen‐enhanced pulmonary imaging using image registration 2005 ·Magnetic Resonance in Medicine ·Josephine H. Naish, Geoff J.M. Parker, Paul Beatty, Alan Jackson, Simon Young, John C. Waterton, Chris Taylor	34
16	Single Dose of the Antivascular Agent, ZD6126 (N-Acetylcoichinol-O-Phosphate), Reduces Perfusion for at Least 96 Hours in the GH3 Prolactinoma Rat Tumor Model 2004 ·Neoplasia ·Dominick J. O. McIntyre, Simon P. Robinson, Franklyn A. Howe, John R. Griffiths, Anderson J. Ryan, David C. Blakey, Ian Peers, John C. Waterton	29
17	Reproducibility of quantitative dynamic contrast-enhanced MRI in newly presenting glioma 2003 ·British Journal of Radiology ·Alan Jackson, Gordon C. Jayson, (unknown), Xiaoping Zhu, D. Checkley, Jean Tessier, John C. Waterton	104
18	Simultaneous mapping of blood volume and endothelial permeability surface area product in gliomas using iterative analysis of first-pass dynamic contrast enhanced MRI data 2003 ·British Journal of Radiology ·(unknown), Xiaoping Zhu, D. Checkley, Jean Tessier, (unknown), John C. Waterton, Alan Jackson	54
19	Assessment of the novel tumor vascular targeting agent ZD6126 by non-invasive multi-gradient echo MRI 2001 ·Simon P. Robinson, Dominick J. O. McIntyre, Franklyn A. Howe, John R. Griffiths, (unknown), John C. Waterton	1
20	Improved 3D quantitative mapping of blood volume and endothelial permeability in brain tumors 2000 ·Journal of Magnetic Resonance Imaging ·Ka‐Loh Li, Xiaoping Zhu, John C. Waterton, Alan Jackson	147

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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