Jürgen Debus

66.8k total citations · 12 hit papers
1.3k papers, 43.7k citations indexed

About

Jürgen Debus is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jürgen Debus has authored 1.3k papers receiving a total of 43.7k indexed citations (citations by other indexed papers that have themselves been cited), including 698 papers in Pulmonary and Respiratory Medicine, 370 papers in Radiation and 357 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jürgen Debus's work include Advanced Radiotherapy Techniques (348 papers), Radiation Therapy and Dosimetry (309 papers) and Glioma Diagnosis and Treatment (205 papers). Jürgen Debus is often cited by papers focused on Advanced Radiotherapy Techniques (348 papers), Radiation Therapy and Dosimetry (309 papers) and Glioma Diagnosis and Treatment (205 papers). Jürgen Debus collaborates with scholars based in Germany, United States and Italy. Jürgen Debus's co-authors include Stephanie E. Combs, Peter E. Huber, Uwe Haberkorn, Daniela Schulz–Ertner, Klaus Herfarth, Frederik L. Giesel, Oliver Jäkel, M. Wannenmacher, Clemens Kratochwil and Christoph Thilmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Oncology.

In The Last Decade

Jürgen Debus

1.3k papers receiving 43.0k citations

Hit Papers

68Ga-FAPI PET/CT: Tracer Up... 2005 2026 2012 2019 2019 2005 2014 2013 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jürgen Debus Germany 94 19.8k 12.6k 12.4k 10.2k 8.8k 1.3k 43.7k
Walter J. Curran United States 89 19.7k 1.0× 8.6k 0.7× 10.4k 0.8× 5.5k 0.5× 3.3k 0.4× 748 37.5k
Minesh P. Mehta United States 105 25.9k 1.3× 6.5k 0.5× 10.5k 0.8× 5.1k 0.5× 4.7k 0.5× 1.1k 45.6k
Philippe Lambin Netherlands 96 17.4k 0.9× 29.7k 2.4× 9.0k 0.7× 5.8k 0.6× 4.2k 0.5× 720 46.6k
Søren M. Bentzen United States 89 12.1k 0.6× 10.6k 0.8× 7.3k 0.6× 8.7k 0.9× 5.1k 0.6× 523 29.2k
Markus Schwaiger Germany 124 14.9k 0.8× 35.1k 2.8× 7.5k 0.6× 2.5k 0.2× 8.3k 0.9× 1.1k 60.9k
Lawrence H. Schwartz United States 80 20.6k 1.0× 16.5k 1.3× 21.2k 1.7× 1.5k 0.2× 8.4k 1.0× 395 52.0k
Jay S. Loeffler United States 86 11.8k 0.6× 4.0k 0.3× 5.3k 0.4× 3.7k 0.4× 3.0k 0.3× 368 27.0k
Theodore S. Lawrence United States 87 8.2k 0.4× 7.9k 0.6× 8.7k 0.7× 5.0k 0.5× 3.1k 0.3× 622 28.0k
Richard L. Wahl United States 90 8.5k 0.4× 20.0k 1.6× 6.6k 0.5× 2.4k 0.2× 4.8k 0.5× 584 34.3k
Richard Kaplan United Kingdom 48 20.2k 1.0× 7.5k 0.6× 22.4k 1.8× 1.0k 0.1× 7.8k 0.9× 173 46.0k

Countries citing papers authored by Jürgen Debus

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Debus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Debus

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Debus. A scholar is included among the top collaborators of Jürgen Debus 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 Jürgen Debus. Jürgen Debus 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
2.
Regnery, Sebastian, Chukwuka Eze, Stefanie Corradini, et al.. (2023). Pulmonary magnetic resonance-guided online adaptive radiotherapy of locally advanced non-small-cell lung cancer: the PUMA trial. Radiation Oncology. 18(1). 74–74. 8 indexed citations
3.
Liermann, Jakob, Arndt‐Christian Müller, Daniel Zips, et al.. (2023). Pelvic Irradiation for Node-Positive Prostate Cancer After Prostatectomy: Long-Term Results of the Prospective PLATIN-4 and PLATIN-5 Trials. International Journal of Radiation Oncology*Biology*Physics. 118(4). 1011–1017. 5 indexed citations
4.
Meixner, Eva, Philipp Hoegen, Fabian Weykamp, et al.. (2023). Palliative Radiotherapy for Symptomatic Locally Advanced Breast Cancer. Technology in Cancer Research & Treatment. 22. 2223906425–2223906425. 5 indexed citations
5.
Doeberitz, Nikolaus von Knebel, Johannes Breitling, Laila König, et al.. (2023). Semi‐solid MT and APTw CEST‐MRI predict clinical outcome of patients with glioma early after radiotherapy. Magnetic Resonance in Medicine. 90(4). 1569–1581. 7 indexed citations
6.
Shafie, Rami A. El, Sebastian Adeberg, Klaus Herfarth, et al.. (2022). Outcome after Radiotherapy for Vestibular Schwannomas (VS)—Differences in Tumor Control, Symptoms and Quality of Life after Radiotherapy with Photon versus Proton Therapy. Cancers. 14(8). 1916–1916. 5 indexed citations
7.
Rathke, Hendrik, Stefan Fuxius, Frederik L. Giesel, et al.. (2021). Two Tumors, One Target. Clinical Nuclear Medicine. 46(10). 842–844. 30 indexed citations
8.
Seidensaal, Katharina, Semi Harrabi, Fabian Weykamp, et al.. (2020). Radiotherapy in the treatment of aggressive fibromatosis: experience from a single institution. Radiation Oncology. 15(1). 143–143. 10 indexed citations
9.
Möck, Andreas, Carmen Rapp, Steffen Dettling, et al.. (2020). Surfactant Expression Defines an Inflamed Subtype of Lung Adenocarcinoma Brain Metastases that Correlates with Prolonged Survival. Clinical Cancer Research. 26(9). 2231–2243. 23 indexed citations
10.
Knoll, Maximilian, Jennifer Furkel, Jürgen Debus, et al.. (2020). An R package for an integrated evaluation of statistical approaches to cancer incidence projection. BMC Medical Research Methodology. 20(1). 176 indexed citations
12.
Corradini, Stefanie, Filippo Alongi, Nicolaus Andratschke, et al.. (2019). MR-guidance in clinical reality: current treatment challenges and future perspectives. Radiation Oncology. 14(1). 92–92. 264 indexed citations breakdown →
13.
Shafie, Rami A. El, Nina Bougatf, Tanja Sprave, et al.. (2018). Oncologic Therapy Support Via Means of a Dedicated Mobile App (OPTIMISE-1): Protocol for a Prospective Pilot Trial. JMIR Research Protocols. 7(3). e70–e70. 9 indexed citations
14.
15.
Altmann, Annette, Max Sauter, Saskia Roesch, et al.. (2017). Identification of a Novel ITGαvβ6-Binding Peptide Using Protein Separation and Phage Display. Clinical Cancer Research. 23(15). 4170–4180. 45 indexed citations
16.
Rief, Harald, Thomas Brückner, Ingmar Schlampp, et al.. (2016). Resistance training concomitant to radiotherapy of spinal bone metastases – survival and prognostic factors of a randomized trial. Radiation Oncology. 11(1). 97–97. 36 indexed citations
18.
Zhang, Mengxian, Susanne Kleber, Manuel Röhrich, et al.. (2011). Blockade of TGF-β Signaling by the TGFβR-I Kinase Inhibitor LY2109761 Enhances Radiation Response and Prolongs Survival in Glioblastoma. Cancer Research. 71(23). 7155–7167. 195 indexed citations
19.
Roeder, Falk, Carmen Timke, Susanne Oertel, et al.. (2009). Intraoperative Electron Radiotherapy for the Management of Aggressive Fibromatosis. International Journal of Radiation Oncology*Biology*Physics. 76(4). 1154–1160. 18 indexed citations
20.
Milker-Zabel, Stefanie, Angelika Zabel, Christoph Thilmann, et al.. (2002). Results of Three-dimensional Stereotactically-guided Radiotherapy in Recurrent Medulloblastoma. Journal of Neuro-Oncology. 60(3). 227–233. 34 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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