What is he best known for?
The fields of study he is best known for:
- Cancer
- Internal medicine
- Radiation therapy
Jürgen Debus mainly focuses on Radiation therapy, Nuclear medicine, Surgery, Radiation treatment planning and Radiology.
Jürgen Debus is studying Radiosurgery, which is a component of Radiation therapy.
His Nuclear medicine research integrates issues from Chordoma, Chondrosarcoma, Skull and Carbon Ion Radiotherapy.
His work on Tumor progression expands to the thematically related Surgery.
His Radiation treatment planning research incorporates elements of Astrocytoma, Conformal radiotherapy and Head and neck.
His studies in Radiology integrate themes in fields like Trigeminal neuralgia and Retrospective cohort study.
His most cited work include:
- DNA methylation-based classification of central nervous system tumours (733 citations)
- The diagnostic value of PET/CT imaging with the 68Ga-labelled PSMA ligand HBED-CC in the diagnosis of recurrent prostate cancer (673 citations)
- Comparison of PET imaging with a 68Ga-labelled PSMA ligand and 18F-choline-based PET/CT for the diagnosis of recurrent prostate cancer (654 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Radiation therapy, Nuclear medicine, Radiology, Internal medicine and Surgery.
His work carried out in the field of Radiation therapy brings together such families of science as Retrospective cohort study, Magnetic resonance imaging and Chemotherapy.
His Nuclear medicine study combines topics from a wide range of disciplines, such as Relative biological effectiveness, Irradiation, Carbon Ion Radiotherapy and Planning target volume.
Jürgen Debus combines Radiology and In patient in his studies.
His research in Internal medicine intersects with topics in Gastroenterology and Oncology.
The study of Surgery is intertwined with the study of Toxicity in a number of ways.
He most often published in these fields:
- Radiation therapy (51.32%)
- Nuclear medicine (30.11%)
- Radiology (27.61%)
What were the highlights of his more recent work (between 2017-2021)?
- Radiation therapy (51.32%)
- Radiology (27.61%)
- Internal medicine (18.78%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Radiation therapy, Radiology, Internal medicine, Nuclear medicine and Oncology.
His Radiation therapy study incorporates themes from Magnetic resonance imaging, Breast cancer and Randomized controlled trial.
The study incorporates disciplines such as Adverse effect and Prostate cancer in addition to Radiology.
His research is interdisciplinary, bridging the disciplines of Gastroenterology and Internal medicine.
The Nuclear medicine study combines topics in areas such as Planning target volume and Proton therapy, Proton.
His biological study deals with issues like Cancer, which deal with fields such as Cancer research.
Between 2017 and 2021, his most popular works were:
- DNA methylation-based classification of central nervous system tumours (733 citations)
- 68Ga-FAPI PET/CT: Tracer Uptake in 28 Different Kinds of Cancer (152 citations)
- 68Ga-FAPI PET/CT: Tracer Uptake in 28 Different Kinds of Cancer (152 citations)
In his most recent research, the most cited papers focused on:
- Cancer
- Internal medicine
- Radiation therapy
Jürgen Debus mostly deals with Radiation therapy, Nuclear medicine, Radiology, Internal medicine and Cancer research.
His Radiation therapy research is multidisciplinary, incorporating elements of Ion beam, Monte Carlo method and Meningioma.
The concepts of his Nuclear medicine study are interwoven with issues in Magnetic resonance imaging, Mr imaging, Chondrosarcoma and Relative biological effectiveness.
His Radiology study combines topics in areas such as Clinical research, Skull and Prostate cancer.
His biological study spans a wide range of topics, including Gastroenterology and Oncology.
Jürgen Debus has researched Cancer research in several fields, including Fibroblast activation protein, alpha, Stem cell, Apoptosis and Biodistribution.
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