Peter Gibbs

6.4k total citations · 1 hit paper
76 papers, 4.7k citations indexed

About

Peter Gibbs is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Peter Gibbs has authored 76 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Peter Gibbs's work include Radiomics and Machine Learning in Medical Imaging (45 papers), MRI in cancer diagnosis (43 papers) and Advanced MRI Techniques and Applications (26 papers). Peter Gibbs is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (45 papers), MRI in cancer diagnosis (43 papers) and Advanced MRI Techniques and Applications (26 papers). Peter Gibbs collaborates with scholars based in United Kingdom, United States and Austria. Peter Gibbs's co-authors include Lindsay W. Turnbull, Martin D. Pickles, Marius E. Mayerhoefer, Ida Häggström, Georg Langs, Piotr M. Szczypiński, Gary Cook, Andrzej Materka, Gary Liney and Martin Lowry and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Bone and Joint Surgery and Gut.

In The Last Decade

Peter Gibbs

76 papers receiving 4.6k 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.

Introduction to Radiomics

2020 1.1k citations Marius E. Mayerhoefer, Peter Gibbs et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter Gibbs United Kingdom	32	4.0k	1.2k	580	573	409	76	4.7k
Philipp Kickingereder Germany	37	3.6k 0.9×	1.0k 0.8×	425 0.7×	311 0.5×	312 0.8×	115	5.3k
David L. Buckley United Kingdom	46	7.0k 1.8×	1.4k 1.1×	550 0.9×	145 0.3×	321 0.8×	132	8.4k
David Bonekamp Germany	35	3.2k 0.8×	2.3k 1.9×	392 0.7×	342 0.6×	401 1.0×	131	5.2k
Nicole Aucoin United States	3	3.8k 0.9×	1.4k 1.2×	1.1k 1.9×	579 1.0×	622 1.5×	3	4.2k
Jeon‐Hor Chen Taiwan	34	2.4k 0.6×	655 0.5×	328 0.6×	1.2k 2.0×	337 0.8×	128	3.5k
Corinne Balleyguier France	39	2.1k 0.5×	1.4k 1.2×	736 1.3×	779 1.4×	1.0k 2.5×	183	4.9k
Charlotte Robert France	21	2.9k 0.7×	1.4k 1.1×	743 1.3×	351 0.6×	866 2.1×	59	3.8k
Joost J. M. van Griethuysen Netherlands	12	4.3k 1.1×	1.6k 1.3×	1.2k 2.1×	653 1.1×	889 2.2×	20	4.9k
Catherine Cheze Le Rest France	29	3.9k 1.0×	1.1k 0.9×	1.1k 1.8×	336 0.6×	516 1.3×	74	4.2k
René Monshouwer Netherlands	14	4.0k 1.0×	1.7k 1.4×	1.1k 1.9×	762 1.3×	744 1.8×	37	4.5k

Countries citing papers authored by Peter Gibbs

Since Specialization

Citations

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

Fields of papers citing papers by Peter Gibbs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Gibbs

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

Romeo, Valeria, Panagiotis Kapetas, Paola Clauser, et al.. (2022). A Simultaneous Multiparametric 18F-FDG PET/MRI Radiomics Model for the Diagnosis of Triple Negative Breast Cancer. Cancers. 14(16). 3944–3944. 11 indexed citations

Pérez-Johnston, Rocío, José de Arimateia Batista Araújo-Filho, James G. Connolly, et al.. (2022). CT-based Radiogenomic Analysis of Clinical Stage I Lung Adenocarcinoma with Histopathologic Features and Oncologic Outcomes. Radiology. 303(3). 664–672. 59 indexed citations

Umutlu, Lale, Julian Kirchner, Nils Martin Bruckmann, et al.. (2022). Multiparametric 18F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer. Cancers. 14(7). 1727–1727. 31 indexed citations

Naranjo, Isaac Daimiel, Peter Gibbs, Roberto Lo Gullo, et al.. (2022). Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists’ Performance. Cancers. 14(7). 1743–1743. 23 indexed citations

Araújo-Filho, José de Arimateia Batista, María Mayoral, Natally Horvat, et al.. (2022). Radiogenomics in personalized management of lung cancer patients: Where are we?. Clinical Imaging. 84. 54–60. 4 indexed citations

Naranjo, Isaac Daimiel, Peter Gibbs, Roberto Lo Gullo, et al.. (2021). Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis. Diagnostics. 11(6). 919–919. 41 indexed citations

Romeo, Valeria, Paola Clauser, Sazan Rasul, et al.. (2021). AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis. European Journal of Nuclear Medicine and Molecular Imaging. 49(2). 596–608. 38 indexed citations

Zhang, Michelle, Meredith Sadinski, Dana Haddad, et al.. (2021). Background Parenchymal Enhancement on Breast MRI as a Prognostic Surrogate: Correlation With Breast Cancer Oncotype Dx Score. Frontiers in Oncology. 10. 595820–595820. 12 indexed citations

Arendt, Christophe, Doris Leithner, Marius E. Mayerhoefer, et al.. (2020). Radiomics of high-resolution computed tomography for the differentiation between cholesteatoma and middle ear inflammation: effects of post-reconstruction methods in a dual-center study. European Radiology. 31(6). 4071–4078. 17 indexed citations

10.

Onishi, Natsuko, Meredith Sadinski, Mary Hughes, et al.. (2020). Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer. Breast Cancer Research. 22(1). 58–58. 52 indexed citations

11.

Gullo, Roberto Lo, Isaac Daimiel Naranjo, Carolina Rossi Saccarelli, et al.. (2020). Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers. European Radiology. 30(12). 6721–6731. 28 indexed citations

12.

Mayerhoefer, Marius E., Anton Staudenherz, Barbara Kiesewetter, et al.. (2019). Pre-Therapeutic Total Lesion Glycolysis on [18F]FDG-PET Enables Prognostication of 2-Year Progression-Free Survival in MALT Lymphoma Patients Treated with CD20-Antibody-Based Immunotherapy. Molecular Imaging and Biology. 21(6). 1192–1199. 10 indexed citations

13.

Foo, Marcus, et al.. (2008). Successful Treatment of Mucosa-Associated Lymphoid Tissue Lymphoma of the Rectum with Radiation Therapy: Report of a Case. Diseases of the Colon & Rectum. 51(11). 1719–1723. 15 indexed citations

14.

Gibbs, Peter, Martin D. Pickles, & Lindsay W. Turnbull. (2006). Diffusion Imaging of the Prostate at 3.0 Tesla. Investigative Radiology. 41(2). 185–188. 124 indexed citations

15.

Pickles, Martin D., Peter Gibbs, Martin Lowry, & Lindsay W. Turnbull. (2006). Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer. Magnetic Resonance Imaging. 24(7). 843–847. 314 indexed citations

16.

Pickles, Martin D., Peter Gibbs, Muthyala Sreenivas, & Lindsay W. Turnbull. (2005). Diffusion‐weighted imaging of normal and malignant prostate tissue at 3.0T. Journal of Magnetic Resonance Imaging. 23(2). 130–134. 132 indexed citations

17.

Guilfoyle, David N., et al.. (1991). Real‐time flow measurements using echo‐planar imaging. Magnetic Resonance in Medicine. 18(1). 1–8. 50 indexed citations

18.

Worthington, Brian S., Jennifer Firth, I. R. Johnson, et al.. (1990). The clinical potential of ultra-high-speed echo-planar imaging. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 333(1632). 507–514. 5 indexed citations

19.

Mansfield, P., Andrew M. Blamire, R. Coxon, et al.. (1990). Snapshot echo-planar imaging methods: current trends and future perspectives. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 333(1632). 495–506. 12 indexed citations

20.

Ordidge, Roger J., Peter Gibbs, B. Chapman, Michael K. Stehling, & P. Mansfield. (1990). High‐speed multislice T₁ mapping using inversion‐recovery echo‐planar imaging. Magnetic Resonance in Medicine. 16(2). 238–245. 93 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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