Daniel Devriendt

1.9k citations
62 papers · 1.5k · h-index 21

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
  • Neurology top 5%
    • Vascular Malformations Diagnosis and Treatment
    • Neurofibromatosis and Schwannoma Cases

Papers in

    • Meningioma and schwannoma management 17
    • Glioma Diagnosis and Treatment 15

Daniel Devriendt

60 papers receiving 1.5k citations

Peers

Daniel Devriendt
Comparison fields: 5 of 72
  • Genetics 353
  • Neurology 271
  • Pathology and Forensic Medicine 287
  • Pulmonary and Respiratory Medicine 492
  • Epidemiology 496
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Citations per field
00.5×2.8×
Joseph Bovi · 1×
Citations per year

Countries citing papers authored by Daniel Devriendt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Devriendt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004235
2 2007122
3 2004115
4 200275
5
Use of stereotactic PET images in dosimetry planning of radiosurgery for brain tumors: clinical experience and proposed classification.
200474
6 200674
7 200765
8 200559
9 200849
10 200243
11 200042
12 200839
13 200738
14 201835
15 200933
16 200631
17 200228
18 200726
19 201323
20 200521

About Daniel Devriendt

Daniel Devriendt is a scholar working on Epidemiology, Genetics, Pulmonary and Respiratory Medicine, Surgery and Pathology and Forensic Medicine, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (17 papers), Glioma Diagnosis and Treatment (15 papers), Brain Metastases and Treatment (12 papers), Trigeminal Neuralgia and Treatments (7 papers), Medical Imaging Techniques and Applications (5 papers), Lung Cancer Research Studies (5 papers), Lung Cancer Treatments and Mutations (4 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). The work is most often cited by research in Genetics (353 citations), Neurology (271 citations), Pathology and Forensic Medicine (287 citations), Pulmonary and Respiratory Medicine (492 citations) and Epidemiology (496 citations). Daniel Devriendt has collaborated with scholars based in Belgium, France and Switzerland. Frequent co-authors include Nicolas Massager, Marc Levivier, Jacques Brotchi, Françoise Desmedt, José Lorenzoni, Paul Van Houtte, David Wikler, S. Ruiz, Carine Delbrouck and Philippe David. Their work appears in journals such as Journal of neurosurgery, International Journal of Radiation Oncology*Biology*Physics, Neurosurgery, Stereotactic and Functional Neurosurgery and Progress in neurological surgery.

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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