Philipp Stenzel

554 total citations
16 papers, 362 citations indexed

About

Philipp Stenzel is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Philipp Stenzel has authored 16 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Philipp Stenzel's work include Renal cell carcinoma treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). Philipp Stenzel is often cited by papers focused on Renal cell carcinoma treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). Philipp Stenzel collaborates with scholars based in Germany, United Kingdom and Belgium. Philipp Stenzel's co-authors include Wilfried Roth, Sebastian Foersch, Aurélie Fernandez, Daniel‐Christoph Wagner, Ann-Christin Woerl, Katrin E. Tagscherer, Stephan Macher‐Goeppinger, Mario Schindeldecker, Axel Haferkamp and Markus Hohenfellner and has published in prestigious journals such as International Journal of Cancer, European Urology and Oncotarget.

In The Last Decade

Philipp Stenzel

16 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philipp Stenzel Germany	8	122	119	117	112	92	16	362
Encheng Zhang China	10	109 0.9×	115 1.0×	99 0.8×	150 1.3×	47 0.5×	23	365
Junjie Kuang China	6	163 1.3×	76 0.6×	118 1.0×	74 0.7×	65 0.7×	11	344
Min‐Sun Jin South Korea	13	126 1.0×	77 0.6×	119 1.0×	165 1.5×	60 0.7×	32	457
Íris Sawazaki‐Calone Brazil	12	159 1.3×	48 0.4×	115 1.0×	133 1.2×	90 1.0×	14	509
Diana Montezuma Portugal	15	121 1.0×	102 0.9×	90 0.8×	249 2.2×	128 1.4×	31	582
Geunwon Kim United States	13	135 1.1×	98 0.8×	104 0.9×	161 1.4×	58 0.6×	27	486
Jalen Benson United States	8	158 1.3×	225 1.9×	238 2.0×	122 1.1×	82 0.9×	20	538
Kate Lillard Japan	6	145 1.2×	40 0.3×	136 1.2×	71 0.6×	161 1.8×	7	390
Aurélie Fernandez Germany	5	119 1.0×	85 0.7×	181 1.5×	54 0.5×	151 1.6×	8	353
Weicai Huang China	9	114 0.9×	180 1.5×	233 2.0×	72 0.6×	37 0.4×	14	397

Countries citing papers authored by Philipp Stenzel

Since Specialization

Citations

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

Fields of papers citing papers by Philipp Stenzel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Stenzel

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

All Works

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16 of 16 papers shown

Ridder, Dirk A., Benjamin Goeppert, Alexander Brobeil, et al.. (2024). N‐cadherin: A diagnostic marker to help discriminate primary liver carcinomas from extrahepatic carcinomas. International Journal of Cancer. 154(10). 1857–1868. 2 indexed citations

Stenzel, Philipp, Mario Schindeldecker, Larissa Seidmann, et al.. (2023). CD15 Is a Risk Predictor and a Novel Target in Clear Cell Renal Cell Carcinoma. Pathobiology. 91(3). 219–229. 3 indexed citations

Thomas, Anita, Roman A. Blaheta, Sascha D. Markowitsch, et al.. (2022). Value of c-MET and Associated Signaling Elements for Predicting Outcomes and Targeted Therapy in Penile Cancer. Cancers. 14(7). 1683–1683. 7 indexed citations

Schulz, Stefan, Ann-Christin Woerl, Florian Jungmann, et al.. (2021). Multimodal Deep Learning for Prognosis Prediction in Renal Cancer. Frontiers in Oncology. 11. 788740–788740. 62 indexed citations

Becker, Samuel S., Philipp Stenzel, Christoph Knosalla, et al.. (2021). Promyelocytic leukemia protein promotes the phenotypic switch of smooth muscle cells in atherosclerotic plaques of human coronary arteries. Clinical Science. 135(7). 887–905. 5 indexed citations

Thomas, Anita, Philipp Stenzel, Katrin E. Tagscherer, et al.. (2021). Assessment of PI3K/mTOR/AKT Pathway Elements to Serve as Biomarkers and Therapeutic Targets in Penile Cancer. Cancers. 13(10). 2323–2323. 10 indexed citations

Fink, Julian, Fabian Schumacher, Jan Schlegel, et al.. (2021). Azidosphinganine enables metabolic labeling and detection of sphingolipid de novo synthesis. Organic & Biomolecular Chemistry. 19(10). 2203–2212. 10 indexed citations

Stenzel, Philipp, Sebastian Foersch, Daniel‐Christoph Wagner, et al.. (2021). Nivolumab Reduces PD1 Expression and Alters Density and Proliferation of Tumor Infiltrating Immune Cells in a Tissue Slice Culture Model of Renal Cell Carcinoma. Cancers. 13(18). 4511–4511. 6 indexed citations

Woerl, Ann-Christin, Markus Eckstein, Daniel‐Christoph Wagner, et al.. (2020). Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides. European Urology. 78(2). 256–264. 111 indexed citations

10.

Pan, Feng, Daniel Schneider, Eduard Ryschich, et al.. (2020). In Vitro Characterization of a Novel Type of Radiopaque Doxorubicin-Loaded Microsphere. CardioVascular and Interventional Radiology. 43(4). 636–647. 1 indexed citations

11.

Stenzel, Philipp, Mario Schindeldecker, Katrin E. Tagscherer, et al.. (2019). Prognostic and Predictive Value of Tumor-infiltrating Leukocytes and of Immune Checkpoint Molecules PD1 and PDL1 in Clear Cell Renal Cell Carcinoma. Translational Oncology. 13(2). 336–345. 56 indexed citations

12.

Schindeldecker, Mario, Philipp Stenzel, Katrin E. Tagscherer, et al.. (2019). Lamin‑B1 is a senescence‑associated biomarker in clear‑cell renal cell carcinoma. Oncology Letters. 18(3). 2654–2660. 34 indexed citations

13.

Stenzel, Philipp. (2018). Prognostische Relevanz von TIM3 bei Nierenzellkarzinomen. Der Pathologe. 39(6). 587–588. 1 indexed citations

14.

Stenzel, Philipp, et al.. (2018). ZNF580 – a brake on Interleukin-6. Journal of Inflammation. 15(1). 20–20. 5 indexed citations

15.

Walter, Britta, Michael Falkenstein, Stephan Macher‐Goeppinger, et al.. (2017). Cyclin K dependent regulation of Aurora B affects apoptosis and proliferation by induction of mitotic catastrophe in prostate cancer. International Journal of Cancer. 141(8). 1643–1653. 28 indexed citations

16.

Foersch, Sebastian, Mario Schindeldecker, Martina Keith, et al.. (2017). Prognostic relevance of androgen receptor expression in renal cell carcinomas. Oncotarget. 8(45). 78545–78555. 21 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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