Philipp M. Paprottka
- Hepatology top 2%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Co-authors
- Maximilian F. ReiserAlexander HaugTobias F. JakobsChristoph TrummPeter BartensteinHarun IlhanDirk‐André ClevertWolfgang P. Fendler
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (30 papers)MRI in cancer diagnosis (12 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Philipp M. Paprottka
74 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Hepatology 528
- Surgery 486
- Pulmonary and Respiratory Medicine 486
- Radiology, Nuclear Medicine and Imaging 439
- Oncology 336
Countries citing papers authored by Philipp M. Paprottka
This map shows the geographic impact of Philipp M. Paprottka'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 M. Paprottka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp M. Paprottka more than expected).
Fields of papers citing papers by Philipp M. Paprottka
This network shows the impact of papers produced by Philipp M. Paprottka. 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 M. Paprottka. The network helps show where Philipp M. Paprottka may publish in the future.
Co-authorship network of co-authors of Philipp M. Paprottka
This figure shows the co-authorship network connecting the top 25 collaborators of Philipp M. Paprottka. A scholar is included among the top collaborators of Philipp M. Paprottka 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 M. Paprottka. Philipp M. Paprottka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 21 | |
| 8 | 1 | |
| 9 | 49 | |
| 10 | 16 | |
| 11 | 13 | |
| 12 | 8 | |
| 13 | 26 | |
| 14 | 44 | |
| 15 | 11 | |
| 16 | 22 | |
| 17 | 18 | |
| 18 | 8 | |
| 19 | 79 | |
| 20 | 1 |
About Philipp M. Paprottka
Philipp M. Paprottka is a scholar working on Hepatology, Internal Medicine and Radiology, Nuclear Medicine and Imaging, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (30 papers), MRI in cancer diagnosis (12 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Hepatology (528 citations), Radiology, Nuclear Medicine and Imaging (439 citations) and Pulmonary and Respiratory Medicine (486 citations). Philipp M. Paprottka has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Maximilian F. Reiser, Alexander Haug, Tobias F. Jakobs, Christoph Trumm, Peter Bartenstein, Harun Ilhan, Dirk‐André Clevert, Wolfgang P. Fendler, Wieland H. Sommer and Thomas Helmberger. Their work appears in journals such as PLoS ONE, Gut and American Journal of Roentgenology.
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.