Alan Jackson

20.0k total citations · 4 hit papers
312 papers, 13.0k citations indexed

About

Alan Jackson is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alan Jackson has authored 312 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Radiology, Nuclear Medicine and Imaging, 60 papers in Neurology and 44 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alan Jackson's work include MRI in cancer diagnosis (81 papers), Advanced MRI Techniques and Applications (73 papers) and Radiomics and Machine Learning in Medical Imaging (40 papers). Alan Jackson is often cited by papers focused on MRI in cancer diagnosis (81 papers), Advanced MRI Techniques and Applications (73 papers) and Radiomics and Machine Learning in Medical Imaging (40 papers). Alan Jackson collaborates with scholars based in United Kingdom, United States and Netherlands. Alan Jackson's co-authors include Geoff J.M. Parker, James P.B. O’Connor, Gordon C. Jayson, John C. Waterton, Caleb Roberts, Alistair Burns, Xiaoping Zhu, David L. Buckley, R Baldwin and M.A. Sambrook and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Alan Jackson

308 papers receiving 12.6k citations

Hit Papers

Experimentally‐derived fu... 2006 2026 2012 2019 2006 2014 2011 2019 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alan Jackson 6.2k 2.0k 2.0k 1.2k 1.1k 312 13.0k
Jun Hatazawa 5.8k 0.9× 2.4k 1.2× 2.5k 1.3× 1.1k 0.9× 1.1k 1.0× 465 12.1k
John M. Hoffman 4.4k 0.7× 1.4k 0.7× 1.8k 0.9× 857 0.7× 1.6k 1.4× 206 11.6k
Seung‐Koo Lee 4.2k 0.7× 1.7k 0.8× 1.7k 0.9× 1.8k 1.4× 551 0.5× 392 10.1k
James M. Provenzale 5.5k 0.9× 2.7k 1.3× 2.2k 1.1× 2.6k 2.1× 641 0.6× 267 14.8k
William T. C. Yuh 3.8k 0.6× 1.8k 0.9× 1.8k 0.9× 797 0.6× 644 0.6× 249 10.6k
Yukunori Korogi 3.5k 0.6× 1.9k 1.0× 2.1k 1.1× 1.4k 1.1× 565 0.5× 303 8.1k
Henrik Larsson 8.0k 1.3× 1.3k 0.7× 1.3k 0.7× 617 0.5× 768 0.7× 305 14.6k
Sabine Heiland 5.1k 0.8× 3.1k 1.6× 1.6k 0.8× 1.8k 1.5× 800 0.7× 357 11.4k
Serge Goldman 2.9k 0.5× 1.7k 0.8× 1.3k 0.6× 2.1k 1.7× 1.4k 1.3× 387 11.5k
Claus Zimmer 5.2k 0.8× 2.4k 1.2× 2.2k 1.1× 1.8k 1.5× 867 0.8× 577 16.7k

Countries citing papers authored by Alan Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Alan Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Jackson. A scholar is included among the top collaborators of Alan Jackson 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 Alan Jackson. Alan Jackson 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.
Jackson, Alan, Nandita M. deSouza, Bart K. M. Jacobs, et al.. (2023). MRI Apparent Diffusion Coefficient (ADC) as a Biomarker of Tumour Response: Imaging-Pathology Correlation in Patients with Hepatic Metastases from Colorectal Cancer (EORTC 1423). Cancers. 15(14). 3580–3580. 2 indexed citations
2.
Anton‐Rodriguez, José, P. J. Julyan, David Russell, et al.. (2019). Comparison of a Standard Resolution PET-CT Scanner With an HRRT Brain Scanner for Imaging Small Tumors Within the Head. IEEE Transactions on Radiation and Plasma Medical Sciences. 3(4). 434–443. 9 indexed citations
3.
Salem, Ahmed, Ross A. Little, Ayşe Latif, et al.. (2019). Oxygen-enhanced MRI Is Feasible, Repeatable, and Detects Radiotherapy-induced Change in Hypoxia in Xenograft Models and in Patients with Non–small Cell Lung Cancer. Clinical Cancer Research. 25(13). 3818–3829. 61 indexed citations
4.
Peerlings, Jurgen, Henry C. Woodruff, Jessica Winfield, et al.. (2019). Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial. Scientific Reports. 9(1). 4800–4800. 221 indexed citations breakdown →
5.
Rampling, R., Paul Mulholland, Allan James, et al.. (2016). A Cancer Research UK First Time in Human Phase I Trial of IMA950 (Novel Multipeptide Therapeutic Vaccine) in Patients with Newly Diagnosed Glioblastoma. Clinical Cancer Research. 22(19). 4776–4785. 122 indexed citations
6.
O’Connor, James P.B., Jessica K.R. Boult, Yann Jamin, et al.. (2015). Oxygen-Enhanced MRI Accurately Identifies, Quantifies, and Maps Tumor Hypoxia in Preclinical Cancer Models. Cancer Research. 76(4). 787–795. 127 indexed citations
7.
Yu, Xinfeng, Li‐Xia Yuan, Alan Jackson, et al.. (2015). Prominence of Medullary Veins on Susceptibility-Weighted Images Provides Prognostic Information in Patients with Subacute Stroke. American Journal of Neuroradiology. 37(3). 423–429. 34 indexed citations
8.
O’Connor, James P.B., Chris J. Rose, John C. Waterton, et al.. (2014). Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome. Clinical Cancer Research. 21(2). 249–257. 495 indexed citations breakdown →
9.
Gillespie, James E. & Alan Jackson. (2013). MRI and CT of the brain. 1 indexed citations
10.
Beek, Ingrid van, et al.. (2012). SYDNEY NALOXONE DISTRIBUTION PROGRAM - WHAT CLINICIANS AND CLIENTS THINK. Drug and Alcohol Review. 31. 55–55. 4 indexed citations
11.
Patankar, Tufail, R Baldwin, Dipayan Mitra, et al.. (2006). Virchow–Robin space dilatation may predict resistance to antidepressant monotherapy in elderly patients with depression. Journal of Affective Disorders. 97(1-3). 265–270. 49 indexed citations
12.
Patankar, Tufail, Hamied Haroon, Samantha J. Mills, et al.. (2005). Is volume transfer coefficient (Ktrans) related to histologic grade in human gliomas. American Journal of Neuroradiology. 26(10). 2455–2465. 97 indexed citations
13.
Baldwin, R, et al.. (2005). Prognosis of late life depression: a three‐year cohort study of outcome and potential predictors. International Journal of Geriatric Psychiatry. 21(1). 57–63. 37 indexed citations
14.
Jackson, Alan, et al.. (2004). Treatment response in late-onset depression: relationship to neuropsychological, neuroradiological and vascular risk factors. Psychological Medicine. 34(1). 125–136. 92 indexed citations
15.
Jackson, Alan. (2003). Quantitative characterization of tumor microvasculature using dynamic contrast-enhanced MRI. Research Explorer (The University of Manchester). 2 indexed citations
16.
Baldwin, R, et al.. (2001). Regional cerebral volume measurements in late‐life depression: relationship to clinical correlates, neuropsychological impairment and response to treatment. International Journal of Geriatric Psychiatry. 16(5). 469–476. 33 indexed citations
17.
Simpson, Steve, R Baldwin, Alan Jackson, Alistair Burns, & Peter Thomas. (2000). Is the Clinical Expression of Late-Life Depression Influenced by Brain Changes? MRI Subcortical Neuroanatomical Correlates of Depressive Symptoms. International Psychogeriatrics. 12(4). 425–434. 25 indexed citations
18.
Thacker, Neil A., et al.. (1999). A fast model independent method for automatic correction of intensity nonuniformity in MRI data. Journal of Magnetic Resonance Imaging. 10(4). 550–562. 10 indexed citations
19.
Thacker, Neil A., et al.. (1999). A fast model independent method for automatic correction of intensity nonuniformity in MRI data. Journal of Magnetic Resonance Imaging. 10(4). 550–562. 63 indexed citations
20.
Jackson, Alan & Alan R. Crossman. (1981). The efferent projections of the entopeduncular nucleus in the rat: A study using anterograde and retrograde transport of HRP. Neuroscience Letters. 24. 1 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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