C. Dehing

12 papers receiving 692 citations

Peers

C. Dehing
Comparison fields: 5 of 67
  • Obstetrics and Gynecology 248
  • Management of Technology and Innovation 79
  • Radiation 57
  • Pediatrics, Perinatology and Child Health 87
  • Oncology 104
Replace Luc R.C.W. van Lonkhuijzen with:
Luc R.C.W. van Lonkhuijzen Netherlands
Kristina Gerszten United States
Ann‐Charlotte Waldenström Sweden
Jennifer Croke Canada
Natasha Phillips United Kingdom
Ellen Jones United States
Zeynep Özsaran Türkiye
Charlene Thomas United States
Deniz Yalman Türkiye
Malcolm Griffiths United Kingdom
C. Dehing relative to Luc R.C.W. van Lonkhuijzen Netherlands Luc R.C.W. van Lonkhuijzen's profile →
Citations per field
00.5×10×20×30×39.5×
Luc R.C.W. van Lonkhuijzen · 1×
Citations per year

Countries citing papers authored by C. Dehing

Since Specialization
Citations

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

Fields of papers citing papers by C. Dehing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Dehing. 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 C. Dehing. The network helps show where C. Dehing may publish in the future.

Co-authors

The 25 scholars most cited alongside C. Dehing, 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 C. Dehing Line = papers co-authored together C. Dehing links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2005299
2 200895
3 200692
4 200953
5 200743
6 200442
7 200735
8 200828
9 200724
10 200913
11 20071
12 20061
13 20070
14
Models combining clinical data with medical knowledge are more accurate than doctors in predicting NSCLC after (chemo-)radiotherapy
20060

About C. Dehing

C. Dehing is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Hepatology and Surgery, having authored 14 papers that have together received 726 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (4 papers), Cancer survivorship and care (2 papers), Effects of Radiation Exposure (2 papers), Lung Cancer Treatments and Mutations (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Blood donation and transfusion practices (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Obstetrics and Gynecology (248 citations), Management of Technology and Innovation (79 citations), Radiation (57 citations), Pediatrics, Perinatology and Child Health (87 citations) and Oncology (104 citations). C. Dehing has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Frans J.M.E. Roumen, F P J Vrouenraets, Eline S.A. van den Akker, Maureen J.B. Aarts, Liesbeth Boersma, Philippe Lambin, Dirk De Ruysscher, Charles Abraham, Herman P. Schaalma and K. P. H. Lemmens. Their work appears in journals such as Radiotherapy and Oncology, International Journal of Radiation Oncology*Biology*Physics, European Journal of Cancer, British Journal of Psychology and BMC 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.

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