Mark Mueller

4.2k total citations
10 papers, 309 citations indexed

About

Mark Mueller is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mark Mueller has authored 10 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mark Mueller's work include Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Vasculitis and related conditions (2 papers). Mark Mueller is often cited by papers focused on Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Vasculitis and related conditions (2 papers). Mark Mueller collaborates with scholars based in Germany, United States and Switzerland. Mark Mueller's co-authors include Christina Pfannenberg, Jan Wierecky, Peter Brossart, J. Henes, Ina Kötter, Lothar Kanz, Thomas M. Conlon, Mike Notohamiprodjo, Franz Pfeiffer and Astrid Velroyen and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Nuclear Medicine and Cancer Immunology Immunotherapy.

In The Last Decade

Mark Mueller

10 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Mueller Germany 9 113 104 63 56 53 10 309
Stine Kramer Denmark 9 207 1.8× 173 1.7× 87 1.4× 6 0.1× 47 0.9× 19 429
Daniel Hausmann Germany 17 241 2.1× 376 3.6× 24 0.4× 45 0.8× 47 0.9× 51 624
Wigbert Stephan Rau Germany 7 101 0.9× 135 1.3× 36 0.6× 14 0.3× 109 2.1× 7 315
Ferdinand Seith Germany 13 77 0.7× 331 3.2× 43 0.7× 44 0.8× 50 0.9× 41 476
Yoon Sung Bae South Korea 10 172 1.5× 20 0.2× 15 0.2× 16 0.3× 14 0.3× 25 304
K. Nakajima Japan 10 248 2.2× 49 0.5× 90 1.4× 11 0.2× 21 0.4× 46 387
Moritz Schneider Germany 11 107 0.9× 314 3.0× 44 0.7× 4 0.1× 82 1.5× 24 429
Vincenzo Salamone Italy 11 174 1.5× 123 1.2× 134 2.1× 28 0.5× 23 0.4× 30 452
J.L. Vercher-Conejero Spain 11 109 1.0× 431 4.1× 63 1.0× 10 0.2× 128 2.4× 41 538
Jennifer Kwak United States 13 174 1.5× 255 2.5× 101 1.6× 27 0.5× 58 1.1× 40 630

Countries citing papers authored by Mark Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Mark Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Mueller

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

All Works

10 of 10 papers shown
1.
2.
Brendle, Cornelia, Holger Schmidt, Ilja Bezrukov, et al.. (2015). Segmentation-Based Attenuation Correction in Positron Emission Tomography/Magnetic Resonance. Investigative Radiology. 50(5). 339–346. 32 indexed citations
3.
Hellbach, Katharina, Andre Yaroshenko, Felix G. Meinel, et al.. (2015). In Vivo Dark-Field Radiography for Early Diagnosis and Staging of Pulmonary Emphysema. Investigative Radiology. 50(7). 430–435. 67 indexed citations
4.
Klumpp, Bernhard, Nina F. Schwenzer, Sergios Gatidis, et al.. (2014). Assessment of Relapse in Patients with Peritoneal Carcinomatosis after Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy using F-18-FDG-PET/CT. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 186(4). 359–366. 12 indexed citations
5.
Pfannenberg, Christina, Baptist Gallwitz, R. Teichmann, et al.. (2014). 11C-methionine PET/CT after in conclusive 99mTc-MIBI-SPECT/CT for localisation of parathyroid adenomas in primary hyperparathyroidism. Nuklearmedizin - NuclearMedicine. 54(1). 26–30. 16 indexed citations
6.
Sauter, Alexander, Daniel Spira, Juergen Hetzel, et al.. (2012). Multifunctional Profiling of Non–Small Cell Lung Cancer Using 18F-FDG PET/CT and Volume Perfusion CT. Journal of Nuclear Medicine. 53(4). 521–529. 46 indexed citations
7.
Henes, J., Mark Mueller, Christina Pfannenberg, Lothar Kanz, & Ina Kötter. (2011). Cyclophosphamide for large vessel vasculitis: assessment of response by PET/CT.. PubMed. 29(1 Suppl 64). S43–8. 54 indexed citations
8.
Specks, Ulrich, Peter A. Merkel, Gary S. Hoffman, et al.. (2011). Design of the Rituximab in ANCA-Associated Vasculitis (RAVE) Trial. 4. 1–18. 15 indexed citations
9.
10.
Wierecky, Jan, Mark Mueller, & Peter Brossart. (2005). Dendritic cell-based cancer immunotherapy targeting MUC-1. Cancer Immunology Immunotherapy. 55(1). 63–67. 55 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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2026