Mark Fruitman

674 total citations · 1 hit paper
6 papers, 451 citations indexed

About

Mark Fruitman is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Oncology. According to data from OpenAlex, Mark Fruitman has authored 6 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Surgery and 4 papers in Oncology. Recurrent topics in Mark Fruitman's work include Colorectal Cancer Surgical Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced MRI Techniques and Applications (2 papers). Mark Fruitman is often cited by papers focused on Colorectal Cancer Surgical Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced MRI Techniques and Applications (2 papers). Mark Fruitman collaborates with scholars based in Canada, United Kingdom and United States. Mark Fruitman's co-authors include Selina Schmocker, Erin Kennedy, Laurent Milot, Robin S. McLeod, Eisar Al‐Sukhni, Gina Brown, J. Charles Victor, Joseph Beyene, Paul A. Picot and Aaron Fenster and has published in prestigious journals such as Annals of Surgical Oncology, Diseases of the Colon & Rectum and Journal of Magnetic Resonance Imaging.

In The Last Decade

Mark Fruitman

6 papers receiving 446 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.

Diagnostic Accuracy of MRI for Assessment of T Category, Lymph Node Metastases, and Circumferential Resection Margin Involvement in Patients with Rectal Cancer: A Systematic Review and Meta-analysis

2012 376 citations Eisar Al‐Sukhni, Laurent Milot et al. Annals of Surgical Oncology profile →

Peers

Mark Fruitman

ONCOL

SURGE

RNMI

PRM

BE

Joachim Straßburg Germany

Shimpei Ogawa Japan

B. Hupkens Netherlands

Haoda Chen China

Yutaka Hanaoka Japan

Mohammad Reza Rajebi United States

Seung-Kook Sohn South Korea

Elisa Bannone Italy

D M A Foy United Kingdom

Jon Bell United Kingdom

Joachim Straßburg Germany

Mark Fruitman

526 ×1.4

ONCOL

437 ×1.7

SURGE

90 ×0.5

RNMI

118 ×1.7

PRM

19 ×0.4

BE

Citations per year, relative to Mark Fruitman Mark Fruitman (= 1×) peers Joachim Straßburg

Countries citing papers authored by Mark Fruitman

Since Specialization

Citations

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

Fields of papers citing papers by Mark Fruitman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Fruitman

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

All Works

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6 of 6 papers shown

1.

Al‐Sukhni, Eisar, Laurent Milot, Mark Fruitman, et al.. (2018). Selection of Patients With Rectal Cancer for Preoperative Chemoradiotherapy: Are T Category and Nodal Status All That Matters?. Diseases of the Colon & Rectum. 62(4). 447–453. 8 indexed citations

2.

Kennedy, Erin, Laurent Milot, Mark Fruitman, et al.. (2014). Development and Implementation of a Synoptic MRI Report for Preoperative Staging of Rectal Cancer on a Population-Based Level. Diseases of the Colon & Rectum. 57(6). 700–708. 27 indexed citations

3.

Al‐Sukhni, Eisar, Laurent Milot, Mark Fruitman, et al.. (2012). Diagnostic Accuracy of MRI for Assessment of T Category, Lymph Node Metastases, and Circumferential Resection Margin Involvement in Patients with Rectal Cancer: A Systematic Review and Meta-analysis. Annals of Surgical Oncology. 19(7). 2212–2223. 376 indexed citations breakdown →

4.

Schmocker, Selina, Mark Fruitman, Laurent Milot, et al.. (2009). Development of a synoptic MRI report for primary rectal cancer. Implementation Science. 4(1). 79–79. 6 indexed citations

5.

Tatlı, Servet, Kelly H. Zou, Mark Fruitman, et al.. (2004). Three‐dimensional magnetic resonance imaging technique for myocardial‐delayed hyperenhancement: A comparison with the two‐dimensional technique. Journal of Magnetic Resonance Imaging. 20(3). 378–382. 13 indexed citations

6.

Picot, Paul A., Mark Fruitman, Richard N. Rankin, & Aaron Fenster. (1995). Rapid volume flow rate estimation using transverse colour Doppler imaging. Ultrasound in Medicine & Biology. 21(9). 1199–1209. 21 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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