Milan E. J. Pijl
- Hepatology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Co-authors
- Aeilko H. ZwindermanJaap StokerMaarten S. van LeeuwenShandra BipatEmile F.I. ComansPatrick M. BossuytPeter J.K. KuppenCornelis J.�H. van de Velde
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (9 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)MRI in cancer diagnosis (3 papers)
- Partner nations
- NetherlandsUnited StatesSweden
In The Last Decade
Milan E. J. Pijl
23 papers receiving 811 citations
Peers
Comparison fields: 5 of 69
- Hepatology 373
- Radiology, Nuclear Medicine and Imaging 320
- Oncology 300
- Surgery 234
- Pulmonary and Respiratory Medicine 121
Countries citing papers authored by Milan E. J. Pijl
This map shows the geographic impact of Milan E. J. Pijl'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 Milan E. J. Pijl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan E. J. Pijl more than expected).
Fields of papers citing papers by Milan E. J. Pijl
This network shows the impact of papers produced by Milan E. J. Pijl. 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 Milan E. J. Pijl. The network helps show where Milan E. J. Pijl may publish in the future.
Co-authorship network of co-authors of Milan E. J. Pijl
This figure shows the co-authorship network connecting the top 25 collaborators of Milan E. J. Pijl. A scholar is included among the top collaborators of Milan E. J. Pijl 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 Milan E. J. Pijl. Milan E. J. Pijl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | The implementation of POCUS and POCUS training for residents: the Rijnstate approach. | 7 |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 384 | |
| 11 | 17 | |
| 12 | 62 | |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 31 | |
| 16 | 14 | |
| 17 | 60 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | 7 |
About Milan E. J. Pijl
Milan E. J. Pijl is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 23 papers that have together received 836 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Hepatology (373 citations), Radiology, Nuclear Medicine and Imaging (320 citations) and Oncology (300 citations). Milan E. J. Pijl has collaborated with scholars based in Netherlands, United States and Sweden. Frequent co-authors include Aeilko H. Zwinderman, Jaap Stoker, Maarten S. van Leeuwen, Shandra Bipat, Emile F.I. Comans, Patrick M. Bossuyt, Peter J.K. Kuppen, Cornelis J.�H. van de Velde, Rob A.�E.�M. Tollenaar and Fred G. J. Tijl. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Radiology and British Journal of Cancer.
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.