Mark J. Roef

799 total citations
29 papers, 308 citations indexed

About

Mark J. Roef is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Mark J. Roef has authored 29 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Surgery. Recurrent topics in Mark J. Roef's work include Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Metabolism and Genetic Disorders (6 papers). Mark J. Roef is often cited by papers focused on Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Metabolism and Genetic Disorders (6 papers). Mark J. Roef collaborates with scholars based in Netherlands, United States and Poland. Mark J. Roef's co-authors include K. de Meer, Ruud Berger, Sjoerd Rijnsdorp, Dirk‐Jan Reijngoud, Satish C. Kalhan, Joost te Riet, Hans Balink, Tymon Pol, Wouter V. Vogel and C. Jakobs and has published in prestigious journals such as American Journal of Clinical Nutrition, Neurology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Mark J. Roef

29 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. Roef Netherlands 11 95 91 81 66 50 29 308
Xixiang Tang China 13 49 0.5× 54 0.6× 69 0.9× 32 0.5× 36 0.7× 31 386
C. Unterberg Germany 12 69 0.7× 195 2.1× 207 2.6× 67 1.0× 46 0.9× 28 502
Klaus Vuorinen Finland 9 39 0.4× 38 0.4× 172 2.1× 33 0.5× 25 0.5× 10 397
Dorina Ylli United States 14 60 0.6× 56 0.6× 72 0.9× 23 0.3× 22 0.4× 22 330
Mitra Rajabi United States 2 23 0.2× 56 0.6× 202 2.5× 25 0.4× 46 0.9× 3 371
Ryuji Okamura Japan 9 15 0.2× 108 1.2× 51 0.6× 33 0.5× 53 1.1× 39 282
John Bahadorani United States 9 102 1.1× 180 2.0× 44 0.5× 102 1.5× 15 0.3× 16 327
N. Okada Japan 8 23 0.2× 184 2.0× 112 1.4× 71 1.1× 27 0.5× 23 351
Zhongwei Lv China 10 56 0.6× 62 0.7× 65 0.8× 26 0.4× 24 0.5× 27 274
M. Kate Curtis United Kingdom 10 37 0.4× 29 0.3× 74 0.9× 84 1.3× 50 1.0× 18 361

Countries citing papers authored by Mark J. Roef

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Roef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. Roef

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Roef. A scholar is included among the top collaborators of Mark J. Roef 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 J. Roef. Mark J. Roef 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.
Roef, Mark J., et al.. (2024). The Additional Role of F18-FDG PET/CT in Characterizing MRI-Diagnosed Tumor Deposits in Locally Advanced Rectal Cancer. Tomography. 10(4). 632–642. 1 indexed citations
2.
Tanis, Pieter J., Monique Maas, Mark J. Roef, et al.. (2024). Dutch national guidelines for locally recurrent rectal cancer. Cancer Treatment Reviews. 127. 102736–102736. 4 indexed citations
3.
Beukinga, Roelof J., Avishek Chatterjee, Henry C. Woodruff, et al.. (2023). External validation of 18F-FDG PET-based radiomic models on identification of residual oesophageal cancer after neoadjuvant chemoradiotherapy. Nuclear Medicine Communications. 44(8). 709–718. 1 indexed citations
4.
5.
6.
Roef, Mark J., et al.. (2020). Diagnostic accuracy of 18F-Fluciclovine PET/CT in primary lymph node staging of prostate cancer. European Urology Open Science. 21. S11–S11. 1 indexed citations
7.
Roef, Mark J., et al.. (2020). Diagnostic accuracy of 18F-fluciclovine PET/CT in primary lymph node staging of prostate cancer. Nuclear Medicine Communications. 42(5). 476–481. 2 indexed citations
8.
Kusters, Miranda, Grard A. P. Nieuwenhuijzen, Johanne G. Bloemen, et al.. (2020). Improved Outcomes for Responders After Treatment with Induction Chemotherapy and Chemo(re)irradiation for Locally Recurrent Rectal Cancer. Annals of Surgical Oncology. 27(9). 3503–3513. 22 indexed citations
9.
Wilk, Berend J. van der, Ben M. Eyck, Bas P. L. Wijnhoven, et al.. (2020). Surveillance of Clinically Complete Responders Using Serial 18F-FDG PET/CT Scans in Patients with Esophageal Cancer After Neoadjuvant Chemoradiotherapy. Journal of Nuclear Medicine. 62(4). 486–492. 10 indexed citations
10.
Riet, Joost te, et al.. (2019). Evaluation of a Bayesian penalized likelihood reconstruction algorithm for low-count clinical 18F-FDG PET/CT. EJNMMI Physics. 6(1). 32–32. 31 indexed citations
11.
Noordman, Bo Jan, Bas P. L. Wijnhoven, Manon C.W. Spaander, et al.. (2019). Accuracy of 18F-FDG PET/CT in Predicting Residual Disease After Neoadjuvant Chemoradiotherapy for Esophageal Cancer. Journal of Nuclear Medicine. 60(11). 1553–1559. 24 indexed citations
12.
Roef, Mark J., et al.. (2018). 18F-Fluciclovine for the restaging of patients with biochemical recurrence of prostate cancer and the correlation with PSA values: Results from a single centre. 59. 1460–1460. 1 indexed citations
13.
Roef, Mark J., et al.. (2011). Oncocytoma of the Parotid Gland Causing False-Positive Result on I-131 Whole-Body Scintigraphy. Clinical Nuclear Medicine. 36(8). 701–703. 7 indexed citations
14.
Balink, Hans, et al.. (2011). Suppression of 18F-FDG Myocardial Uptake Using a Fat-Allowed, Carbohydrate-Restricted Diet. Journal of Nuclear Medicine Technology. 39(3). 185–189. 28 indexed citations
15.
Roef, Mark J. & Wouter V. Vogel. (2010). The effects of muscle exercise and bed rest on [18F]methylcholine PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 38(3). 526–530. 6 indexed citations
16.
Roef, Mark J., Satish C. Kalhan, Dirk‐Jan Reijngoud, K. de Meer, & Ruud Berger. (2002). Lactate Disposal via Gluconeogenesis Is Increased During Exercise in Patients with Mitochondrial Myopathy Due to Complex I Deficiency. Pediatric Research. 51(5). 592–597. 10 indexed citations
17.
Roef, Mark J., et al.. (2002). Triacylglycerol infusion improves exercise endurance in patients with mitochondrial myopathy due to complex I deficiency. American Journal of Clinical Nutrition. 75(2). 237–244. 27 indexed citations
18.
Roef, Mark J., et al.. (2002). Triacylglycerol infusion does not improve hyperlactemia in resting patients with mitochondrial myopathy due to complex I deficiency. American Journal of Clinical Nutrition. 75(2). 228–236. 13 indexed citations
19.
Benatar, Avram, et al.. (1995). Mid-term results of the modified Senning operation for cavopulmonary connection with autologous tissue. European Journal of Cardio-Thoracic Surgery. 9(6). 320–324. 7 indexed citations
20.
Roef, Mark J., et al.. (1994). The modified Senning operation for cavopulmonary connection with autologous tissue. Journal of Thoracic and Cardiovascular Surgery. 108(2). 377–380. 5 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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