Liesbeth Peters-Bax
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 2%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Cancer Research top 5%
- Co-authors
- Lioe‐Fee de Geus‐OeiErik H.F.M. van der HeijdenPepijn BrockenP.N.R. DekhuijzenBram van GinnekenClara I. SánchezPragnya MaduskarLaurens Hogeweg
- Topics
- Lung Cancer Diagnosis and Treatment (6 papers)COVID-19 diagnosis using AI (5 papers)Radiology practices and education (4 papers)
- Journals
- PLoS ONEScientific ReportsRadiology
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Liesbeth Peters-Bax
16 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Pulmonary and Respiratory Medicine 1.4k
- Oncology 1.2k
- Molecular Biology 948
- Radiology, Nuclear Medicine and Imaging 816
- Cancer Research 593
Countries citing papers authored by Liesbeth Peters-Bax
This map shows the geographic impact of Liesbeth Peters-Bax'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 Liesbeth Peters-Bax with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liesbeth Peters-Bax more than expected).
Fields of papers citing papers by Liesbeth Peters-Bax
This network shows the impact of papers produced by Liesbeth Peters-Bax. 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 Liesbeth Peters-Bax. The network helps show where Liesbeth Peters-Bax may publish in the future.
Co-authorship network of co-authors of Liesbeth Peters-Bax
This figure shows the co-authorship network connecting the top 25 collaborators of Liesbeth Peters-Bax. A scholar is included among the top collaborators of Liesbeth Peters-Bax 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 Liesbeth Peters-Bax. Liesbeth Peters-Bax is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 28 | |
| 8 | 137 | |
| 9 | 53 | |
| 10 | 57 | |
| 11 | 6 | |
| 12 | 24 | |
| 13 | High Performance of <sup>18</sup>F-Fluorodeoxyglucose Positron Emission Tomography and Contrast-Enhanced CT in a Rapid Outpatient Diagnostic Program for Patients with Suspected Lung Cancerbreakdown → | 2932 |
| 14 | 57 | |
| 15 | 98 | |
| 16 | 40 |
About Liesbeth Peters-Bax
Liesbeth Peters-Bax is a scholar working on Health Informatics, Anatomy and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), COVID-19 diagnosis using AI (5 papers) and Radiology practices and education (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.4k citations), Oncology (1.2k citations) and Cancer Research (593 citations). Liesbeth Peters-Bax has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Lioe‐Fee de Geus‐Oei, Erik H.F.M. van der Heijden, Pepijn Brocken, P.N.R. Dekhuijzen, Bram van Ginneken, Clara I. Sánchez, Pragnya Maduskar, Laurens Hogeweg, Miranda Snoeren and Cornelia Schaefer‐Prokop. Their work appears in journals such as PLoS ONE, Scientific Reports and Radiology.
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.