Philipp Stenzel
Impact in
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
-
- Renal cell carcinoma treatment 6
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Cancer-related Molecular Pathways 1
- Co-authors
- Wilfried Roth (11 shared papers)Sebastian Foersch (7 shared papers)Aurélie Fernandez (3 shared papers)Daniel‐Christoph Wagner (3 shared papers)Katrin Elisabeth Tagscherer (8 shared papers)Stephan Macher‐Goeppinger (7 shared papers)Axel Haferkamp (5 shared papers)Arndt Hartmann (1 shared paper)
- Journals
- Cancers (3 papers)International Journal of Cancer (2 papers)Translational Oncology (1 paper)Oncotarget (1 paper)Journal of Inflammation (1 paper)
- Partner nations
- GermanyBelgiumUnited Kingdom
In The Last Decade
Philipp Stenzel
16 papers receiving 419 citations
Peers
Comparison fields: 5 of 52
- Health Informatics 11
- Artificial Intelligence 148
- Oncology 67
- Radiology, Nuclear Medicine and Imaging 57
- Pulmonary and Respiratory Medicine 73
Countries citing papers authored by Philipp Stenzel
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
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-authors
The 25 scholars most cited alongside Philipp Stenzel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 133 | |
| 2 | 2021 | 79 | |
| 3 | 2019 | 62 | |
| 4 | 2019 | 38 | |
| 5 | 2017 | 29 | |
| 6 | 2017 | 22 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2018 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2020 | 2 | |
| 16 | 2018 | 1 |
About Philipp Stenzel
Philipp Stenzel is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Hepatology, Immunology and Pharmaceutical Science, having authored 16 papers that have together received 420 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (6 papers), Cancer Immunotherapy and Biomarkers (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Genital Health and Disease (1 paper), Microtubule and mitosis dynamics (1 paper), Ultrasound and Hyperthermia Applications (1 paper), NF-κB Signaling Pathways (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Health Informatics (11 citations), Artificial Intelligence (148 citations), Oncology (67 citations), Radiology, Nuclear Medicine and Imaging (57 citations) and Pulmonary and Respiratory Medicine (73 citations). Philipp Stenzel has collaborated with scholars based in Germany, Belgium and United Kingdom. Frequent co-authors include Wilfried Roth, Sebastian Foersch, Aurélie Fernandez, Daniel‐Christoph Wagner, Katrin Elisabeth Tagscherer, Stephan Macher‐Goeppinger, Axel Haferkamp, Arndt Hartmann, Michael Wand and Markus Eckstein. Their work appears in journals such as Cancers, International Journal of Cancer, Translational Oncology, Oncotarget and Journal of Inflammation.
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.