Johan van Soest
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Pulmonary and Respiratory Medicine top 1%
- Biomedical Engineering top 2%
- Oncology top 2%
- Artificial Intelligence top 1%
- Co-authors
- André DekkerTim LustbergPhilippe LambinWouter van ElmptTimo M. DeistArthur JochemsSeán WalshErik Roelofs
- Topics
- Radiomics and Machine Learning in Medical Imaging (29 papers)Advanced Radiotherapy Techniques (12 papers)Privacy-Preserving Technologies in Data (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- NetherlandsItalyUnited States
In The Last Decade
Johan van Soest
72 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Radiology, Nuclear Medicine and Imaging 4.2k
- Pulmonary and Respiratory Medicine 1.7k
- Biomedical Engineering 1.1k
- Oncology 998
- Artificial Intelligence 944
Countries citing papers authored by Johan van Soest
This map shows the geographic impact of Johan van Soest'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 Johan van Soest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan van Soest more than expected).
Fields of papers citing papers by Johan van Soest
This network shows the impact of papers produced by Johan van Soest. 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 Johan van Soest. The network helps show where Johan van Soest may publish in the future.
Co-authorship network of co-authors of Johan van Soest
This figure shows the co-authorship network connecting the top 25 collaborators of Johan van Soest. A scholar is included among the top collaborators of Johan van Soest 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 Johan van Soest. Johan van Soest 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 | 7 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 17 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 15 | |
| 11 | 49 | |
| 12 | 1 | |
| 13 | 25 | |
| 14 | 22 | |
| 15 | 33 | |
| 16 | 87 | |
| 17 | 100 | |
| 18 | 3 | |
| 19 | 51 | |
| 20 | 20 |
About Johan van Soest
Johan van Soest is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 79 papers that have together received 5.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (29 papers), Advanced Radiotherapy Techniques (12 papers) and Privacy-Preserving Technologies in Data (12 papers). The work is most often cited by research in Health Informatics (311 citations), Radiology, Nuclear Medicine and Imaging (4.2k citations) and Radiation (447 citations). Johan van Soest has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include André Dekker, Tim Lustberg, Philippe Lambin, Wouter van Elmpt, Timo M. Deist, Arthur Jochems, Seán Walsh, Erik Roelofs, Yvonka van Wijk and Joachim E. Wildberger. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.
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.