Liesbeth Peters-Bax

4.7k citations
16 papers · 3.4k indexed · 1 hit paper · h-index 9

Liesbeth Peters-Bax

16 papers receiving 3.4k citations

Hit Papers

High Performance of <sup>18</sup>F-Fluorodeoxyglucose Pos...2.9k201320262017202150010001.5k2.0k2.5k

Peers

Liesbeth Peters-Bax
Comparison fields: 5 of 126
  • Pulmonary and Respiratory Medicine 1.4k
  • Oncology 1.2k
  • Cancer Research 593
  • Radiology, Nuclear Medicine and Imaging 816
  • Health Informatics 29
Replace Xiaoyu Jia with:
Xiaoyu Jia United States
Jhanelle E. Gray United States
John K. Gohagan United States
René Bruno France
Aaron S. Mansfield United States
Manola Bettio Italy
Mario Roselli Italy
Byung Ha Chung South Korea
Robert B. Den United States
Alexander Barsouk United States
Liesbeth Peters-Bax relative to Xiaoyu Jia United States Xiaoyu Jia's profile →
Citations per field
00.5×3.6×
Xiaoyu Jia · 1×
Citations per year

Countries citing papers authored by Liesbeth Peters-Bax

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Liesbeth Peters-Bax, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liesbeth Peters-Bax Line = papers co-authored together Liesbeth Peters-Bax links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20241
2 20241
3 20242
4 20248
5 20241
6 20224
7 201728
8 2015137
9 201553
10 201557
11 20146
12 201324
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 →
20132932
14 201357
15 201398
16 201140

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), Radiology practices and education (4 papers), Lung Cancer Treatments and Mutations (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers), Tuberculosis Research and Epidemiology (3 papers) and Pneumonia and Respiratory Infections (2 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.

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