Saskia van de Ven

496 citations
14 papers · 361 indexed · h-index 8
Topics
Medical Imaging Techniques and Applications (5 papers)Breast Cancer Treatment Studies (4 papers)Radiopharmaceutical Chemistry and Applications (3 papers)

In The Last Decade

Saskia van de Ven

14 papers receiving 356 citations

Peers

Saskia van de Ven
Comparison fields: 5 of 56
  • Oncology 242
  • Cancer Research 193
  • Pathology and Forensic Medicine 68
  • Radiology, Nuclear Medicine and Imaging 64
  • Molecular Biology 63
Replace Hy-De Lee with:
Hy-De Lee South Korea
Tse-Kuan Yu United States
Lamar Eaton United States
Maartje van Seijen Netherlands
Liisa Sailas Finland
Lauren Nye United States
Jurui Luo China
Qiliang Peng China
S O Emdin Sweden
Thomas R. Maloney United States
Saskia van de Ven relative to Hy-De Lee South Korea Hy-De Lee's profile →
Citations per field
00.5×3.2×
Hy-De Lee · 1×
Citations per year

Countries citing papers authored by Saskia van de Ven

Since Specialization
Citations

This map shows the geographic impact of Saskia van de Ven'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 Saskia van de Ven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saskia van de Ven more than expected).

Fields of papers citing papers by Saskia van de Ven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saskia van de Ven. 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 Saskia van de Ven. The network helps show where Saskia van de Ven may publish in the future.

Co-authorship network of co-authors of Saskia van de Ven

This figure shows the co-authorship network connecting the top 25 collaborators of Saskia van de Ven. A scholar is included among the top collaborators of Saskia van de Ven 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 Saskia van de Ven. Saskia van de Ven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 8
2 3
3 8
4 21
5 7
6 33
7 47
8 31
9
Clinical and pathological response after neoadjuvant chemotherapy with or without zoledronic acid for patients with HER2-negative large resectable or stage II or III breast cancer
1
10 4
11 3
12 1
13 175
14
Judging Amy: Automated legal assessment using OWL 2
19

About Saskia van de Ven

Saskia van de Ven is a scholar working on Cancer Research, Radiation and Oncology, having authored 14 papers that have together received 361 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Breast Cancer Treatment Studies (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Cancer Research (193 citations), Oncology (242 citations) and Pathology and Forensic Medicine (68 citations). Saskia van de Ven has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Vincent T.H.B.M. Smit, Judith R. Kroep, J.W.R. Nortier, Tim Dekker, Lonneke W. Kessels, Hanneke W.M. van Laarhoven, Joan B. Heijns, Ayoub Charehbili, Rinke Hoekstra and Joost Breuker. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research 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.

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