Philippe Douek

6.2k total citations
148 papers, 4.3k citations indexed

About

Philippe Douek is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Philippe Douek has authored 148 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Radiology, Nuclear Medicine and Imaging, 64 papers in Biomedical Engineering and 50 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Philippe Douek's work include Advanced X-ray and CT Imaging (60 papers), Radiation Dose and Imaging (49 papers) and Cardiac Imaging and Diagnostics (32 papers). Philippe Douek is often cited by papers focused on Advanced X-ray and CT Imaging (60 papers), Radiation Dose and Imaging (49 papers) and Cardiac Imaging and Diagnostics (32 papers). Philippe Douek collaborates with scholars based in France, United States and Germany. Philippe Douek's co-authors include Salim Si‐Mohamed, Loïc Boussel, N J Patronas, Robert Turner, Denis Le Bihan, David P. Cormode, Philippe Coulon, Monica Sigovan, Daniel Bar-Ness and Sara Boccalini and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Philippe Douek

139 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Douek France 37 2.6k 1.9k 1.0k 588 553 148 4.3k
Sachio Kuribayashi Japan 36 2.1k 0.8× 1.3k 0.7× 1.6k 1.5× 954 1.6× 404 0.7× 144 4.4k
Frank Wacker Germany 37 2.6k 1.0× 987 0.5× 1.8k 1.7× 371 0.6× 527 1.0× 360 5.3k
Thomas J. Vogl Germany 30 1.6k 0.6× 876 0.5× 691 0.7× 287 0.5× 572 1.0× 179 3.8k
N. Grenier France 44 2.8k 1.1× 1.7k 0.9× 1.8k 1.8× 260 0.4× 266 0.5× 189 5.8k
Daniel A. Merton United States 35 1.0k 0.4× 1.3k 0.7× 1.3k 1.2× 167 0.3× 413 0.7× 123 3.5k
Seitaro Oda Japan 38 2.7k 1.0× 1.7k 0.9× 925 0.9× 335 0.6× 292 0.5× 272 4.1k
Arno Buecker Germany 36 2.5k 1.0× 639 0.3× 972 0.9× 983 1.7× 265 0.5× 152 3.8k
Wieland H. Sommer Germany 33 2.3k 0.9× 1.3k 0.7× 1.2k 1.2× 328 0.6× 725 1.3× 145 3.9k
Michael Fenchel Germany 33 2.0k 0.8× 583 0.3× 973 0.9× 360 0.6× 240 0.4× 115 3.2k
A. Linka Switzerland 20 1.2k 0.5× 1.5k 0.8× 555 0.5× 1.1k 1.9× 270 0.5× 47 3.3k

Countries citing papers authored by Philippe Douek

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Douek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Douek

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Douek. A scholar is included among the top collaborators of Philippe Douek 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 Philippe Douek. Philippe Douek 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.
Boccalini, Sara, Hugo Lacombe, Marjorie Villien, et al.. (2024). Ultra-High-Resolution and K-Edge Imaging of Prosthetic Heart Valves With Spectral Photon-Counting CT. Investigative Radiology. 59(8). 589–598. 11 indexed citations
2.
Chaput, Fréderic, Ala Yaromina, Ludwig J. Dubois, et al.. (2024). Surface modification effect on contrast agent efficiency for X-ray based spectral photon-counting scanner/luminescence imaging: from fundamental study to in vivo proof of concept. Nanoscale. 16(6). 2931–2944. 6 indexed citations
3.
Pawelec, Kendell M., et al.. (2024). Device Design and Advanced Computed Tomography of 3D Printed Radiopaque Composite Scaffolds and Meniscus. Advanced Functional Materials. 34(44). 5 indexed citations
4.
Lagogiannis, Ioannis, Candelas Pérez del Villar, Philippe Douek, et al.. (2024). The Role of Coronary Computed Tomography Angiography in the Diagnosis, Risk Stratification, and Management of Patients with Diabetes and Chest Pain. Reviews in Cardiovascular Medicine. 25(12). 442–442.
5.
Si‐Mohamed, Salim, et al.. (2024). Mechanical Thrombectomy in a Single-Lung Transplant Recipient: A Salvage Case. American Journal of Respiratory and Critical Care Medicine. 210(7). e1–e2. 1 indexed citations
6.
7.
Rodesch, Pierre‐Antoine, et al.. (2023). Image quality improvement of a one-step spectral CT reconstruction on a prototype photon-counting scanner. Physics in Medicine and Biology. 69(1). 15005–15005.
8.
Si‐Mohamed, Salim, Sara Boccalini, Marjorie Villien, et al.. (2023). First Experience With a Whole-Body Spectral Photon-Counting CT Clinical Prototype. Investigative Radiology. 58(7). 459–471. 30 indexed citations
9.
Douek, Philippe, Sara Boccalini, Edwin H. G. Oei, et al.. (2023). Clinical Applications of Photon-counting CT: A Review of Pioneer Studies and a Glimpse into the Future. Radiology. 309(1). e222432–e222432. 77 indexed citations
10.
Abascal, Juan, Salim Si‐Mohamed, Hang‐Korng Ea, et al.. (2023). Quantification of cartilage and subchondral bone cysts on knee specimens based on a spectral photon-counting computed tomography. Scientific Reports. 13(1). 11080–11080. 3 indexed citations
11.
Si‐Mohamed, Salim, Ségolène Turquier, Sara Boccalini, et al.. (2023). Lung Dual-Energy CT Perfusion Blood Volume as a Marker of Severity in Chronic Thromboembolic Pulmonary Hypertension. Diagnostics. 13(4). 769–769. 3 indexed citations
12.
Boccalini, Sara, Salim Si‐Mohamed, David C. Rotzinger, et al.. (2022). Effect of contrast material injection protocol on first-pass myocardial perfusion assessed by dual-energy dual-layer computed tomography. Quantitative Imaging in Medicine and Surgery. 12(7). 3903–3916. 8 indexed citations
13.
Zhu, Yuemin, Pei Niu, Ting Su, et al.. (2021). Super-Energy-Resolution Material Decomposition for Spectral Photon-Counting CT Using Pixel-Wise Learning. IEEE Access. 9. 168485–168495. 2 indexed citations
14.
Dessouky, Riham, et al.. (2021). Spectral augmentation for heart chambers segmentation on conventional contrasted and unenhanced CT scans: an in-depth study. International Journal of Computer Assisted Radiology and Surgery. 16(10). 1699–1709. 5 indexed citations
15.
16.
Kopp, Felix K., Heiner Daerr, Salim Si‐Mohamed, et al.. (2018). Evaluation of a preclinical photon-counting CT prototype for pulmonary imaging. Scientific Reports. 8(1). 17386–17386. 57 indexed citations
17.
Sigovan, Monica, et al.. (2014). Evaluation of image quality of DWIBS versus DWI sequences in thoracic MRI at 3T. Magnetic Resonance Imaging. 32(10). 1237–1241. 4 indexed citations
18.
Mory, Cyril, Bo Zhang, Michael Graß, et al.. (2014). Cardiac C‐arm computed tomography using a 3D + time ROI reconstruction method with spatial and temporal regularization. Medical Physics. 41(2). 21903–21903. 32 indexed citations
19.
Millon, Antoine, et al.. (2014). A New Carotid 3D MRI Sequence for Stenosis Measurement and Plaque Characterization at the Same Time. European Journal of Vascular and Endovascular Surgery. 48(3). 342–342. 2 indexed citations
20.
Croisille, Pierre, Marlène Wiart, Nigel Howarth, et al.. (1999). Prospective comparison of MR lung perfusion and lung scintigraphy. Journal of Magnetic Resonance Imaging. 9(1). 61–68. 54 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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