Philipp Schubert

1.1k total citations · 1 hit paper
18 papers, 824 citations indexed

About

Philipp Schubert is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Philipp Schubert has authored 18 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Philipp Schubert's work include Cancer Immunotherapy and Biomarkers (5 papers), Advanced Radiotherapy Techniques (4 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Philipp Schubert is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Advanced Radiotherapy Techniques (4 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Philipp Schubert collaborates with scholars based in Germany, China and Austria. Philipp Schubert's co-authors include Karin Schneiderbanger, Michael Didié, Wolfram‐Hubertus Zimmermann, Felix Münzel, Thomas Eschenhagen, Jürgen F. Heubach, Winfried Neuhuber, Sawa Kostin, Udo S. Gaipl and Benjamin Frey and has published in prestigious journals such as Circulation Research, Annals of Oncology and Cardiovascular Research.

In The Last Decade

Philipp Schubert

13 papers receiving 813 citations

Hit Papers

Tissue Engineering of a Differentiated Cardiac Muscle Con... 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp Schubert Germany 8 588 444 318 250 78 18 824
Todd D. Johnson United States 11 896 1.5× 780 1.8× 387 1.2× 191 0.8× 36 0.5× 13 1.1k
Anbin Mu United States 9 327 0.6× 183 0.4× 326 1.0× 256 1.0× 89 1.1× 16 759
Paul Keire United States 8 686 1.2× 670 1.5× 393 1.2× 312 1.2× 46 0.6× 8 1.1k
Dilip Thomas United States 16 223 0.4× 174 0.4× 302 0.9× 284 1.1× 54 0.7× 33 722
Akima Harada Japan 16 386 0.7× 164 0.4× 196 0.6× 435 1.7× 71 0.9× 54 769
Karen L. Christman United States 5 556 0.9× 478 1.1× 187 0.6× 148 0.6× 30 0.4× 5 714
Aida Llucià‐Valldeperas Spain 19 416 0.7× 317 0.7× 160 0.5× 208 0.8× 45 0.6× 39 687
Karin Schneiderbanger Germany 12 909 1.5× 661 1.5× 445 1.4× 702 2.8× 137 1.8× 16 1.6k
Bernard F. Siu United States 8 728 1.2× 529 1.2× 298 0.9× 255 1.0× 95 1.2× 8 920
Keren Shapira‐Schweitzer Israel 8 398 0.7× 299 0.7× 309 1.0× 205 0.8× 30 0.4× 8 635

Countries citing papers authored by Philipp Schubert

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Schubert

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

All Works

18 of 18 papers shown
1.
Schubert, Philipp, Matthias May, Jana Hutter, et al.. (2025). Advancing offline magnetic resonance-guided prostate radiotherapy through dedicated imaging and deep learning-based automatic contouring of targets and neurovascular structures. Physics and Imaging in Radiation Oncology. 35. 100825–100825.
2.
Donaubauer, Anna-Jasmina, et al.. (2025). Biological Effects of Low-Dose Radiation Therapy: From Mechanistic Aspects to Translational Approaches and Challenges. Seminars in Radiation Oncology. 36. 23–38.
3.
Putz, Florian, Manuel Schmidt, Matthias May, et al.. (2024). The Segment Anything foundation model achieves favorable brain tumor auto-segmentation accuracy in MRI to support radiotherapy treatment planning. Strahlentherapie und Onkologie. 201(3). 255–265. 7 indexed citations
5.
Schubert, Philipp, et al.. (2024). Protocol-based CT-guided brachytherapy for patients with prostate cancer and previous rectal extirpation—a curative approach. Strahlentherapie und Onkologie. 201(1). 20–26. 1 indexed citations
6.
Strnad, Vratislav, et al.. (2024). Prostate brachytherapy boost: Long-term results of protocol-based treatment of patients with non-metastatic prostate cancer. Journal of Contemporary Brachytherapy. 16(6). 391–397.
8.
Schubert, Philipp, et al.. (2024). Optimized raw data selection for artifact reduction of breathing controlled four-dimensional sequence scanning. Physics and Imaging in Radiation Oncology. 30. 100584–100584. 1 indexed citations
9.
Tamaskovics, Bálint, Markus Hecht, Philipp Schubert, et al.. (2023). 944TiP Randomized phase II study of immune stimulation with pembrolizumab and radiotherapy of recurrent and/or metastatic head and neck squamous cell carcinoma : The IMPORTANCE trial. Annals of Oncology. 34. S593–S593. 1 indexed citations
10.
Strnad, Vratislav, Michael Lotter, Stephan Kreppner, et al.. (2023). On the implant stability in adaptive multi-catheter breast brachytherapy: Establishment of a decision-tree for treatment re-planning. Radiotherapy and Oncology. 183. 109597–109597. 4 indexed citations
11.
Weißmann, Thomas, Michael Rückert, Florian Putz, et al.. (2023). Low-dose radiotherapy of osteoarthritis: from biological findings to clinical effects—challenges for future studies. Strahlentherapie und Onkologie. 199(12). 1164–1172. 11 indexed citations
12.
Zhou, Jian‐Guo, Anna-Jasmina Donaubauer, Benjamin Frey, et al.. (2021). Prospective development and validation of a liquid immune profile-based signature (LIPS) to predict response of patients with recurrent/metastatic cancer to immune checkpoint inhibitors. Journal for ImmunoTherapy of Cancer. 9(2). e001845–e001845. 40 indexed citations
13.
Weißmann, Thomas, Florian Putz, Sebastian Lettmaier, et al.. (2021). Reduction of Elective Radiotherapy Treatment Volume in Definitive Treatment of Locally Advanced Head and Neck Cancer—Comparison of a Prospective Trial with a Revised Simulated Contouring Approach. Journal of Clinical Medicine. 10(20). 4653–4653. 1 indexed citations
14.
Schubert, Philipp, Sandra Rutzner, Markus Eckstein, et al.. (2021). Questionnaire-based detection of immune-related adverse events in cancer patients treated with PD-1/PD-L1 immune checkpoint inhibitors. BMC Cancer. 21(1). 314–314. 10 indexed citations
15.
16.
Schubert, Philipp, Sandra Rutzner, Markus Eckstein, et al.. (2020). Prospective Evaluation of All-lesion Versus Single-lesion Radiotherapy in Combination With PD-1/PD-L1 Immune Checkpoint Inhibitors. Frontiers in Oncology. 10. 576643–576643. 8 indexed citations
17.
Münzel, Felix, Wolfram‐Hubertus Zimmermann, Michael Didié, et al.. (2005). Endothelin-1 and isoprenaline co-stimulation causes contractile failure which is partially reversed by MEK inhibition. Cardiovascular Research. 68(3). 464–474. 20 indexed citations
18.
Zimmermann, Wolfram‐Hubertus, Karin Schneiderbanger, Philipp Schubert, et al.. (2002). Tissue Engineering of a Differentiated Cardiac Muscle Construct. Circulation Research. 90(2). 223–230. 695 indexed citations breakdown →

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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