Kenneth E. Pengel

833 total citations
15 papers, 643 citations indexed

About

Kenneth E. Pengel is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Kenneth E. Pengel has authored 15 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Cancer Research and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Kenneth E. Pengel's work include Breast Cancer Treatment Studies (10 papers), Medical Imaging Techniques and Applications (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Kenneth E. Pengel is often cited by papers focused on Breast Cancer Treatment Studies (10 papers), Medical Imaging Techniques and Applications (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Kenneth E. Pengel collaborates with scholars based in Netherlands, Germany and United Kingdom. Kenneth E. Pengel's co-authors include Emiel J. Rutgers, Kenneth G. A. Gilhuijs, Claudette E. Loo, Jelle Wesseling, Marie-Jeanne T. F. D. Vrancken Peeters, Wouter V. Vogel, Wilma D. Heemsbergen, Mischa S. Hoogeman, Maddalena Rossi and J. Belderbos and has published in prestigious journals such as PLoS ONE, European Journal of Cancer and Physics in Medicine and Biology.

In The Last Decade

Kenneth E. Pengel

15 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth E. Pengel Netherlands 13 422 336 197 165 139 15 643
C. Chapellier France 10 259 0.6× 351 1.0× 245 1.2× 72 0.4× 88 0.6× 30 528
Karolien Verhoeven Netherlands 11 353 0.8× 542 1.6× 136 0.7× 225 1.4× 489 3.5× 33 789
S.J. Zimmermann Denmark 9 163 0.4× 404 1.2× 153 0.8× 153 0.9× 258 1.9× 12 550
S. Hol Netherlands 9 374 0.9× 549 1.6× 130 0.7× 268 1.6× 532 3.8× 12 821
Anna Morra Italy 13 155 0.4× 381 1.1× 144 0.7× 107 0.6× 254 1.8× 33 521
Jessica R. Hiatt United States 12 178 0.4× 376 1.1× 134 0.7× 125 0.8× 406 2.9× 43 527
Montserrat Pazos Germany 15 198 0.5× 258 0.8× 71 0.4× 174 1.1× 274 2.0× 30 515
J Fayad United States 5 188 0.4× 384 1.1× 114 0.6× 110 0.7× 360 2.6× 6 479
Nicola Letts United States 6 258 0.6× 426 1.3× 86 0.4× 257 1.6× 503 3.6× 11 633
D.W. Arthur United States 12 159 0.4× 345 1.0× 140 0.7× 127 0.8× 305 2.2× 29 486

Countries citing papers authored by Kenneth E. Pengel

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth E. Pengel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth E. Pengel. 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 Kenneth E. Pengel. The network helps show where Kenneth E. Pengel may publish in the future.

Co-authorship network of co-authors of Kenneth E. Pengel

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

All Works

15 of 15 papers shown
1.
Schmitz, Alexander, Kenneth E. Pengel, Claudette E. Loo, et al.. (2017). Monitoring tumor response to neoadjuvant chemotherapy using MRI and 18F-FDG PET/CT in breast cancer subtypes. PLoS ONE. 12(5). e0176782–e0176782. 14 indexed citations
2.
Ramshorst, Mette S. van, Bas B. Koolen, Kenneth E. Pengel, et al.. (2017). Additional value of 18F-FDG PET/CT response evaluation in axillary nodes during neoadjuvant therapy for triple-negative and HER2-positive breast cancer. Cancer Imaging. 17(1). 15–15. 10 indexed citations
3.
Loo, Claudette E., Kenneth E. Pengel, Jelle Wesseling, et al.. (2016). Survival is associated with complete response on MRI after neoadjuvant chemotherapy in ER-positive HER2-negative breast cancer. Breast Cancer Research. 18(1). 82–82. 19 indexed citations
4.
Noordaa, Marieke E. M. van der, Kenneth E. Pengel, Ewout J. N. Groen, et al.. (2015). The use of radioactive iodine-125 seed localization in patients with non-palpable breast cancer. European Journal of Surgical Oncology. 41(4). 553–558. 25 indexed citations
5.
Pengel, Kenneth E., Bas B. Koolen, Claudette E. Loo, et al.. (2014). Combined use of 18F-FDG PET/CT and MRI for response monitoring of breast cancer during neoadjuvant chemotherapy. European Journal of Nuclear Medicine and Molecular Imaging. 41(8). 1515–1524. 39 indexed citations
6.
Koolen, Bas B., Kenneth E. Pengel, Jelle Wesseling, et al.. (2013). FDG PET/CT during neoadjuvant chemotherapy may predict response in ER-positive/HER2-negative and triple negative, but not in HER2-positive breast cancer. The Breast. 22(5). 691–697. 75 indexed citations
7.
Pengel, Kenneth E., Claudette E. Loo, Jelle Wesseling, et al.. (2013). Avoiding preoperative breast MRI when conventional imaging is sufficient to stage patients eligible for breast conserving therapy. European Journal of Radiology. 83(2). 273–278. 15 indexed citations
8.
Koolen, Bas B., Kenneth E. Pengel, Jelle Wesseling, et al.. (2013). Sequential 18F-FDG PET/CT for early prediction of complete pathological response in breast and axilla during neoadjuvant chemotherapy. European Journal of Nuclear Medicine and Molecular Imaging. 41(1). 32–40. 50 indexed citations
9.
Loo, Claudette E., et al.. (2013). Fully automated deformable registration of breast DCE-MRI and PET/CT. Physics in Medicine and Biology. 58(4). 1221–1233. 23 indexed citations
10.
Pengel, Kenneth E., Claudette E. Loo, Maurice A. A. J. van den Bosch, et al.. (2012). Pre-treatment imaging and pathology characteristics of invasive breast cancers of limited extent: Potential relevance for MRI-guided localized therapy. Radiotherapy and Oncology. 104(1). 11–18. 16 indexed citations
11.
Koolen, Bas B., Kenneth E. Pengel, Jelle Wesseling, et al.. (2012). 7 Relevance of Breast Cancer Subtypes in Response Monitoring with 18F-FDG PET/CT During Neoadjuvant Chemotherapy. European Journal of Cancer. 48. S42–S42. 1 indexed citations
12.
Alderliesten, Tanja, Claudette E. Loo, Kenneth E. Pengel, et al.. (2011). Radioactive Seed Localization of Breast Lesions: An Adequate Localization Method without Seed Migration. The Breast Journal. 17(6). 594–601. 85 indexed citations
13.
Elshof, Lotte E., Emiel J. Rutgers, Eline E. Deurloo, et al.. (2010). A practical approach to manage additional lesions at preoperative breast MRI in patients eligible for breast conserving therapy: results. Breast Cancer Research and Treatment. 124(3). 707–715. 30 indexed citations
14.
Pengel, Kenneth E., Claudette E. Loo, Hendrik J. Teertstra, et al.. (2008). The impact of preoperative MRI on breast-conserving surgery of invasive cancer: a comparative cohort study. Breast Cancer Research and Treatment. 116(1). 161–169. 97 indexed citations
15.
Belderbos, J., Wilma D. Heemsbergen, Mischa S. Hoogeman, et al.. (2005). Acute esophageal toxicity in non-small cell lung cancer patients after high dose conformal radiotherapy. Radiotherapy and Oncology. 75(2). 157–164. 144 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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