Philipp Mayer
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Oncology 28
- Pancreatic and Hepatic Oncology Research 26
- Cancer Cells and Metastasis 3
-
- MRI in cancer diagnosis 12
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Thilo Hackert (26 shared papers)Hans‐Ulrich Kauczor (30 shared papers)Miriam Klauß (27 shared papers)Markus W. Büchler (14 shared papers)Frank Bergmann (11 shared papers)Ulf Hinz (9 shared papers)Oliver Strobel (10 shared papers)Matthias M. Gaida (16 shared papers)
- Journals
- Cancers (5 papers)Scientific Reports (5 papers)Cancer Imaging (4 papers)European Journal of Radiology (4 papers)Surgery (3 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Philipp Mayer
71 papers receiving 918 citations
Peers
Comparison fields: 5 of 77
- Oncology 415
- Radiology, Nuclear Medicine and Imaging 179
- Hepatology 55
- Oral Surgery 31
- Surgery 161
Countries citing papers authored by Philipp Mayer
This map shows the geographic impact of Philipp Mayer'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 Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Mayer more than expected).
Fields of papers citing papers by Philipp Mayer
This network shows the impact of papers produced by Philipp Mayer. 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 Mayer. The network helps show where Philipp Mayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Mayer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 60 | |
| 2 | 2014 | 59 | |
| 3 | 2020 | 53 | |
| 4 | 2020 | 52 | |
| 5 | 2015 | 50 | |
| 6 | 2016 | 46 | |
| 7 | 2002 | 37 | |
| 8 | 2018 | 29 | |
| 9 | 2021 | 29 | |
| 10 | 2023 | 24 | |
| 11 | 2011 | 23 | |
| 12 | 2003 | 23 | |
| 13 | 2017 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2018 | 20 | |
| 16 | 2021 | 19 | |
| 17 | 2012 | 19 | |
| 18 | 2020 | 19 | |
| 19 | 2021 | 18 | |
| 20 | 2021 | 17 |
About Philipp Mayer
Philipp Mayer is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Hepatology, Surgery and Agronomy and Crop Science, having authored 79 papers that have together received 930 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (26 papers), MRI in cancer diagnosis (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Reproductive Physiology in Livestock (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (5 papers), Ruminant Nutrition and Digestive Physiology (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Oncology (415 citations), Radiology, Nuclear Medicine and Imaging (179 citations), Hepatology (55 citations), Oral Surgery (31 citations) and Surgery (161 citations). Philipp Mayer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Thilo Hackert, Hans‐Ulrich Kauczor, Miriam Klauß, Markus W. Büchler, Frank Bergmann, Ulf Hinz, Oliver Strobel, Matthias M. Gaida, Klaus Maier‐Hein and Bram Stieltjes. Their work appears in journals such as Cancers, Scientific Reports, Cancer Imaging, European Journal of Radiology and Surgery.
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.