Remge M. Pieterman

1.5k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Remge M. Pieterman is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Remge M. Pieterman has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Remge M. Pieterman's work include Lung Cancer Diagnosis and Treatment (6 papers), Medical Imaging Techniques and Applications (5 papers) and Lung Cancer Treatments and Mutations (4 papers). Remge M. Pieterman is often cited by papers focused on Lung Cancer Diagnosis and Treatment (6 papers), Medical Imaging Techniques and Applications (5 papers) and Lung Cancer Treatments and Mutations (4 papers). Remge M. Pieterman collaborates with scholars based in Netherlands, United States and Austria. Remge M. Pieterman's co-authors include Willem Vaalburg, Harry J.M. Groen, Gerard H. Koëter, John W.G. van Putten, Jan Pruim, Eduard L. Mooyaart, J. J. Meuzelaar, V. Fidler, Antoon T. M. Willemsen and Jan Pruim and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and British Journal of Cancer.

In The Last Decade

Remge M. Pieterman

13 papers receiving 1.1k 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.

Preoperative Staging of Non–Small-Cell Lung Cancer with Positron-Emission Tomography

2000 864 citations Remge M. Pieterman, John W.G. van Putten et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Remge M. Pieterman Netherlands	10	883	650	148	96	74	13	1.1k
Jan Pruim Netherlands	14	1.2k 1.4×	934 1.4×	184 1.2×	126 1.3×	268 3.6×	19	1.7k
J. Pruim Netherlands	13	580 0.7×	361 0.6×	153 1.0×	44 0.5×	267 3.6×	20	922
Landis K. Griffeth United States	17	360 0.4×	520 0.8×	169 1.1×	46 0.5×	112 1.5×	29	1.0k
Tobias Hölscher Germany	18	524 0.6×	378 0.6×	109 0.7×	223 2.3×	85 1.1×	55	836
Katsumi Hirose Japan	20	316 0.4×	387 0.6×	195 1.3×	248 2.6×	132 1.8×	72	1.1k
Matteo Salgarello Italy	20	291 0.3×	267 0.4×	413 2.8×	100 1.0×	111 1.5×	67	1.0k
Byung-Tae Kim South Korea	14	886 1.0×	774 1.2×	139 0.9×	32 0.3×	436 5.9×	24	1.3k
Bruno Kaschten Belgium	11	256 0.3×	522 0.8×	109 0.7×	34 0.4×	225 3.0×	22	1.0k
Jorge D. Oldan United States	19	267 0.3×	389 0.6×	146 1.0×	68 0.7×	120 1.6×	71	871
Tore Bach‐Gansmo Norway	15	356 0.4×	452 0.7×	110 0.7×	26 0.3×	80 1.1×	45	833

Countries citing papers authored by Remge M. Pieterman

Since Specialization

Citations

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

Fields of papers citing papers by Remge M. Pieterman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Remge M. Pieterman. 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 Remge M. Pieterman. The network helps show where Remge M. Pieterman may publish in the future.

Co-authorship network of co-authors of Remge M. Pieterman

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

All Works

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13 of 13 papers shown

Schaaf, A. van der, Robin Wijsman, O. Chouvalova, et al.. (2023). External validation of NTCP-models for radiation pneumonitis in lung cancer patients treated with chemoradiotherapy. Radiotherapy and Oncology. 186. 109735–109735. 5 indexed citations

Groen, Harry J.M., Erik H.F.M. van der Heijden, Theo J. Klinkenberg, et al.. (2019). Randomised phase 3 study of adjuvant chemotherapy with or without nadroparin in patients with completely resected non-small-cell lung cancer: the NVALT-8 study. British Journal of Cancer. 121(5). 372–377. 10 indexed citations

Ubbels, Jan F., Max Beijert, Harry J.M. Groen, et al.. (2015). An instrument dedicated for modelling of pulmonary radiotherapy. Radiotherapy and Oncology. 115(1). 3–8. 8 indexed citations

Wiegman, Erwin M., Joachim Widder, Ellen M. Driever, et al.. (2014). Concurrent gemcitabine and 3D radiotherapy in patients with stage III unresectable non-small cell lung cancer. Radiation Oncology. 9(1). 190–190. 8 indexed citations

Schuuring, Ed, T. Jeroen N. Hiltermann, Remge M. Pieterman, et al.. (2013). Common and Rare EGFR and KRAS Mutations in a Dutch Non-Small-Cell Lung Cancer Population and Their Clinical Outcome. PLoS ONE. 8(7). e70346–e70346. 29 indexed citations

Kramer, Henk, Remge M. Pieterman, Dirk‐Jan Slebos, et al.. (2004). PET for the evaluation of pleural thickening observed on CT.. PubMed. 45(6). 995–8. 62 indexed citations

Doze, Petra, Philip H. Elsinga, Aren van Waarde, et al.. (2002). Quantification of β-adrenoceptor density in the human heart with (S)-[11C]CGP 12388 and a tracer kinetic model. European Journal of Nuclear Medicine and Molecular Imaging. 29(3). 295–304. 22 indexed citations

Pieterman, Remge M., Philip H. Elsinga, Jan Pruim, et al.. (2002). Comparison of (11)C-choline and (18)F-FDG PET in primary diagnosis and staging of patients with thoracic cancer.. PubMed. 43(2). 167–72. 46 indexed citations

Pieterman, Remge M., Antoon T. M. Willemsen, Jan Pruim, et al.. (2001). Visualisation and assessment of the protein synthesis rate of lung cancer using carbon-11 tyrosine and positron emission tomography. European Journal of Nuclear Medicine and Molecular Imaging. 29(2). 243–247. 14 indexed citations

10.

Elsinga, Philip H., Petra Doze, Aren van Waarde, et al.. (2001). Imaging of β-adrenoceptors in the human thorax using (S)-[11C]CGP12388 and positron emission tomography. European Journal of Pharmacology. 433(2-3). 173–176. 16 indexed citations

11.

Passchier, Jan, Aren van Waarde, Remge M. Pieterman, Antoon T. M. Willemsen, & Willem Vaalburg. (2001). Quantifying drug-related 5-HT1A receptor occupancy with [18F]MPPF. Psychopharmacology. 155(2). 193–197. 11 indexed citations

12.

Pieterman, Remge M., John W.G. van Putten, J. J. Meuzelaar, et al.. (2000). Preoperative Staging of Non–Small-Cell Lung Cancer with Positron-Emission Tomography. New England Journal of Medicine. 343(4). 254–261. 864 indexed citations breakdown →

13.

Passchier, Jan, Aren van Waarde, Remge M. Pieterman, et al.. (2000). Quantitative imaging of 5-HT1A receptor binding in healthy volunteers with [18f]p-MPPF. Nuclear Medicine and Biology. 27(5). 473–476. 30 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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