René Laqua

782 total citations
21 papers, 442 citations indexed

About

René Laqua is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, René Laqua has authored 21 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Surgery. Recurrent topics in René Laqua's work include Medical Image Segmentation Techniques (7 papers), MRI in cancer diagnosis (4 papers) and Medical Imaging Techniques and Applications (3 papers). René Laqua is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), MRI in cancer diagnosis (4 papers) and Medical Imaging Techniques and Applications (3 papers). René Laqua collaborates with scholars based in Germany, United States and Switzerland. René Laqua's co-authors include Henry Völzke, Taras Usichenko, Jens‐Peter Kühn, Norbert Hosten, Michael Wendt, Katrin Hegenscheid, Volkmar Liebscher, Peter J. Meffert, Stephan Albrecht Ender and Antje Steveling and has published in prestigious journals such as PLoS ONE, Radiology and Clinical Orthopaedics and Related Research.

In The Last Decade

René Laqua

20 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
René Laqua Germany 13 139 111 90 77 67 21 442
Roy Harnish United States 11 296 2.1× 178 1.6× 124 1.4× 111 1.4× 48 0.7× 14 721
Keisuke Matsubara Japan 15 179 1.3× 96 0.9× 49 0.5× 25 0.3× 16 0.2× 46 666
L.J.T.O. van Erning Netherlands 9 229 1.6× 118 1.1× 45 0.5× 10 0.1× 33 0.5× 18 548
M. A. Macleod United Kingdom 12 87 0.6× 43 0.4× 52 0.6× 12 0.2× 28 0.4× 46 377
Shinsuke Kyogoku Japan 11 123 0.9× 22 0.2× 102 1.1× 17 0.2× 12 0.2× 42 643
Sergey V. Nesterov Finland 11 285 2.1× 39 0.4× 60 0.7× 13 0.2× 9 0.1× 29 573
Sarah Schlaeger Germany 14 221 1.6× 90 0.8× 111 1.2× 7 0.1× 17 0.3× 31 526
Tara Retson United States 11 234 1.7× 7 0.1× 44 0.5× 25 0.3× 38 0.6× 23 508
Allison Kanakis United States 14 111 0.8× 9 0.1× 51 0.6× 146 1.9× 26 0.4× 19 632

Countries citing papers authored by René Laqua

Since Specialization
Citations

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

Fields of papers citing papers by René Laqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of René Laqua

This figure shows the co-authorship network connecting the top 25 collaborators of René Laqua. A scholar is included among the top collaborators of René Laqua 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 René Laqua. René Laqua 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.
Bülow, Robin, Till Ittermann, René Laqua, et al.. (2024). Establishing Normative Values for Acromion Anatomy: A Comprehensive MRI-Based Study in a Healthy Population of 996 Participants. Diagnostics. 14(1). 107–107. 1 indexed citations
2.
Bülow, Robin, Till Ittermann, René Laqua, et al.. (2024). Normative Values for Sternoclavicular Joint and Clavicle Anatomy Based on MR Imaging: A Comprehensive Analysis of 1591 Healthy Participants. Journal of Clinical Medicine. 13(12). 3598–3598.
3.
Kühn, Jens‐Peter, Henry Völzke, Till Ittermann, et al.. (2019). The neck–shaft angle: an update on reference values and associated factors. Acta Orthopaedica. 91(1). 53–57. 26 indexed citations
4.
Kühn, Jens‐Peter, Till Ittermann, Carsten Oliver Schmidt, et al.. (2018). What Are the Reference Values and Associated Factors for Center-edge Angle and Alpha Angle? A Population-based Study. Clinical Orthopaedics and Related Research. 476(11). 2249–2259. 25 indexed citations
5.
Usichenko, Taras, et al.. (2016). Preliminary findings of cerebral responses on transcutaneous vagal nerve stimulation on experimental heat pain. Brain Imaging and Behavior. 11(1). 30–37. 23 indexed citations
6.
Laqua, René, et al.. (2016). fMRI evidence for a reduction in affective processing of thermal pain in responders of transcutaneous vagal nerve stimulation (TVNS). Clinical Neurophysiology. 127(3). e9–e9. 3 indexed citations
7.
Hegenscheid, Katrin, et al.. (2016). Lung Segmentation of MR Images: A Review. 3–24. 3 indexed citations
8.
Berg, Ronan M. G., Henri Wallaschofski, Matthias Nauck, et al.. (2015). Positive Association Between Adipose Tissue and Bone Stiffness. Calcified Tissue International. 97(1). 40–49. 24 indexed citations
9.
Laqua, René, Lei Wang, Andrea Schenk, et al.. (2015). An efficient level set method for simultaneous intensity inhomogeneity correction and segmentation of MR images. Computerized Medical Imaging and Graphics. 48. 9–20. 27 indexed citations
10.
Laqua, René, et al.. (2015). Automatic Pharynx Segmentation from MRI Data for Analysis of Sleep Related Disorders. International Journal of Artificial Intelligence Tools. 24(4). 1550018–1550018. 4 indexed citations
11.
Gloger, Oliver, Klaus Tönnies, René Laqua, & Henry Völzke. (2015). Fully Automated Renal Tissue Volumetry in MR Volume Data Using Prior-Shape-Based Segmentation in Subject-Specific Probability Maps. IEEE Transactions on Biomedical Engineering. 62(10). 2338–2351. 14 indexed citations
12.
13.
Laqua, René, et al.. (2014). A Level Set Based Framework for Quantitative Evaluation of Breast Tissue Density from MRI Data. PLoS ONE. 9(11). e112709–e112709. 15 indexed citations
14.
Pietzner, Maik, Ina Lehmphul, Nele Friedrich, et al.. (2014). Translating Pharmacological Findings from Hypothyroid Rodents to Euthyroid Humans: Is There a Functional Role of Endogenous 3,5-T2?. Thyroid. 25(2). 188–197. 28 indexed citations
15.
Kühn, Jens‐Peter, Diego Hernando, Peter J. Meffert, et al.. (2013). Proton-density fat fraction and simultaneous R2* estimation as an MRI tool for assessment of osteoporosis. European Radiology. 23(12). 3432–3439. 106 indexed citations
16.
Wang, Lei, et al.. (2013). A fast global variational bias field correction method for MR images. 20. 667–671. 5 indexed citations
17.
Hegenscheid, Katrin, Carsten Oliver Schmidt, René Laqua, et al.. (2012). Contrast enhancement kinetics of normal breast parenchyma in dynamic MR mammography: effects of menopausal status, oral contraceptives, and postmenopausal hormone therapy. European Radiology. 22(12). 2633–2640. 14 indexed citations
18.
Hegenscheid, Katrin, Carsten Oliver Schmidt, René Laqua, et al.. (2012). Normal Breast Parenchyma: Contrast Enhancement Kinetics at Dynamic MR Mammography—Influence of Anthropometric Measures and Menopausal Status. Radiology. 266(1). 72–80. 16 indexed citations
19.
Gloger, Oliver, et al.. (2011). Prior Shape Level Set Segmentation on Multistep Generated Probability Maps of MR Datasets for Fully Automatic Kidney Parenchyma Volumetry. IEEE Transactions on Medical Imaging. 31(2). 312–325. 33 indexed citations
20.
Hegenscheid, Katrin, René Laqua, Sven Gläser, et al.. (2011). A fast and accurate automatic lung segmentation and volumetry method for MR data used in epidemiological studies. Computerized Medical Imaging and Graphics. 36(4). 281–293. 12 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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