Michael Lundemann

871 total citations
24 papers, 583 citations indexed

About

Michael Lundemann is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Lundemann has authored 24 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Genetics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Lundemann's work include Glioma Diagnosis and Treatment (13 papers), Medical Imaging Techniques and Applications (9 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Michael Lundemann is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Medical Imaging Techniques and Applications (9 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Michael Lundemann collaborates with scholars based in Denmark, United States and Sweden. Michael Lundemann's co-authors include Ian Law, Per Munck af Rosenschöld, Lena Specht, Maja V. Maraldo, Ivan R. Vogelius, Hans Skovgaard Poulsen, Svend Aage Engelholm, Vibeke Andrée Larsen, Lisbeth Marner and Junia C. Costa and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and Medical Physics.

In The Last Decade

Michael Lundemann

23 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Lundemann Denmark 13 329 228 163 116 98 24 583
John Garcia United States 11 291 0.9× 151 0.7× 450 2.8× 407 3.5× 97 1.0× 14 836
Daniel Rueß Germany 14 157 0.5× 162 0.7× 188 1.2× 57 0.5× 54 0.6× 48 548
Gerard Walls United Kingdom 13 304 0.9× 72 0.3× 267 1.6× 51 0.4× 19 0.2× 56 680
H. Hashii Japan 14 90 0.3× 88 0.4× 363 2.2× 179 1.5× 95 1.0× 18 688
Hironori Nishibori Japan 15 255 0.8× 77 0.3× 96 0.6× 29 0.3× 39 0.4× 33 548
Markus Oechsner Germany 18 402 1.2× 111 0.5× 423 2.6× 408 3.5× 90 0.9× 73 967
T.B. Daniels United States 14 187 0.6× 110 0.5× 412 2.5× 227 2.0× 15 0.2× 45 576
Luis Schiappacasse Switzerland 15 139 0.4× 58 0.3× 255 1.6× 240 2.1× 57 0.6× 54 661
Isabella Palumbo Italy 15 311 0.9× 29 0.1× 225 1.4× 99 0.9× 90 0.9× 61 665
Daniela Schmitt Germany 11 277 0.8× 121 0.5× 385 2.4× 374 3.2× 19 0.2× 33 614

Countries citing papers authored by Michael Lundemann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lundemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lundemann

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lundemann. A scholar is included among the top collaborators of Michael Lundemann 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 Michael Lundemann. Michael Lundemann 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.
Henriksen, O., Aida Muhic, Michael Lundemann, et al.. (2024). Added prognostic value of DCE blood volume imaging in patients with suspected recurrent or residual glioblastoma—A hybrid [18F]FET PET/MRI study. Neuro-Oncology Advances. 6(1). vdae196–vdae196. 1 indexed citations
2.
Rasmussen, Benjamin Schnack, Ole Graumann, Søren Overgaard, et al.. (2023). Minimal Hip Joint Space Width Measured on X-rays by an Artificial Intelligence Algorithm—A Study of Reliability and Agreement. SHILAP Revista de lepidopterología. 3(3). 714–723. 4 indexed citations
3.
Boesen, Mikael, et al.. (2023). Improving traumatic fracture detection on radiographs with artificial intelligence support: a multi-reader study. BJR|Open. 6(1). tzae011–tzae011. 11 indexed citations
4.
Hansen, Philip, et al.. (2022). External validation of an artificial intelligence tool for radiographic knee osteoarthritis severity classification. European Journal of Radiology. 150. 110249–110249. 20 indexed citations
5.
Henriksen, Otto Mølby, Adam E. Hansen, Aida Muhic, et al.. (2022). Diagnostic yield of simultaneous dynamic contrast-enhanced magnetic resonance perfusion measurements and [18F]FET PET in patients with suspected recurrent anaplastic astrocytoma and glioblastoma. European Journal of Nuclear Medicine and Molecular Imaging. 49(13). 4677–4691. 8 indexed citations
6.
Marner, Lisbeth, Michael Lundemann, Astrid Sehested, et al.. (2021). Diagnostic accuracy and clinical impact of [18F]FET PET in childhood CNS tumors. Neuro-Oncology. 23(12). 2107–2116. 22 indexed citations
7.
Hjalgrim, Lisa Lyngsie, Laura Ann Rechner, Michael Lundemann, et al.. (2020). The risk of late effects following pediatric and adult radiotherapy regimens in Hodgkin lymphoma. Strahlentherapie und Onkologie. 197(8). 711–721. 4 indexed citations
8.
Marner, Lisbeth, Karsten Nysom, Astrid Sehested, et al.. (2019). Early Postoperative18F-FET PET/MRI for Pediatric Brain and Spinal Cord Tumors. Journal of Nuclear Medicine. 60(8). 1053–1058. 28 indexed citations
9.
Rosenschöld, Per Munck af, Ian Law, Silke Engelholm, et al.. (2018). Influence of volumetric modulated arc therapy and FET-PET scanning on treatment outcomes for glioblastoma patients. Radiotherapy and Oncology. 130. 149–155. 10 indexed citations
10.
Lundemann, Michael, Per Munck af Rosenschöld, Aida Muhic, et al.. (2018). Feasibility of multi-parametric PET and MRI for prediction of tumour recurrence in patients with glioblastoma. European Journal of Nuclear Medicine and Molecular Imaging. 46(3). 603–613. 50 indexed citations
11.
Lundemann, Michael, Junia C. Costa, Ian Law, et al.. (2017). Patterns of failure for patients with glioblastoma following O-(2-[ 18 F]fluoroethyl)- L -tyrosine PET- and MRI-guided radiotherapy. Radiotherapy and Oncology. 122(3). 380–386. 23 indexed citations
12.
Marner, Lisbeth, Otto Mølby Henriksen, Michael Lundemann, Vibeke Andrée Larsen, & Ian Law. (2016). Clinical PET/MRI in neurooncology: opportunities and challenges from a single-institution perspective. Clinical and Translational Imaging. 5(2). 135–149. 36 indexed citations
13.
Urup, Thomas, Kirsten Grunnet, Ib Jarle Christensen, et al.. (2016). The prognostic value of FET PET at radiotherapy planning in newly diagnosed glioblastoma. European Journal of Nuclear Medicine and Molecular Imaging. 44(3). 373–381. 50 indexed citations
14.
Møller, Søren, Michael Lundemann, Ian Law, et al.. (2015). Early changes in perfusion of glioblastoma during radio- and chemotherapy evaluated by T1-dynamic contrast enhanced magnetic resonance imaging. Acta Oncologica. 54(9). 1521–1528. 8 indexed citations
15.
Maraldo, Maja V., Michael Lundemann, Ivan R. Vogelius, & Lena Specht. (2015). A new method to estimate doses to the normal tissues after past extended and involved field radiotherapy for Hodgkin lymphoma. Radiotherapy and Oncology. 114(2). 206–211. 12 indexed citations
16.
Maraldo, Maja V., Francesco Giusti, Ivan R. Vogelius, et al.. (2015). Cardiovascular disease after treatment for Hodgkin's lymphoma: an analysis of nine collaborative EORTC-LYSA trials. The Lancet Haematology. 2(11). e492–e502. 110 indexed citations
17.
Aznar, Marianne, Maja V. Maraldo, Michael Lundemann, et al.. (2015). Minimizing Late Effects for Patients With Mediastinal Hodgkin Lymphoma: Deep Inspiration Breath-Hold, IMRT, or Both?. International Journal of Radiation Oncology*Biology*Physics. 92(1). 169–174. 87 indexed citations
18.
Hansen, Anders E., Michael Lundemann, Christian Hollensen, et al.. (2014). Dose painting based on tumor uptake of Cu-ATSM and FDG: a comparative study. Radiation Oncology. 9(1). 228–228. 18 indexed citations
19.
Rosenschöld, Per Munck af, Junia C. Costa, Svend Aage Engelholm, et al.. (2014). Impact of [18F]-fluoro-ethyl-tyrosine PET imaging on target definition for radiation therapy of high-grade glioma. Neuro-Oncology. 17(5). 757–763. 45 indexed citations
20.
Lundemann, Michael. (1965). The rational and geological aspects of solid diffusion. The Canadian Mineralogist. 8(3). 271–290. 4 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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