Max Beijert

1.2k citations
17 papers · 283 · h-index 7

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research
  • Neurology top 10%
    • CNS Lymphoma Diagnosis and Treatment

Papers in

Max Beijert

17 papers receiving 280 citations

Peers

Max Beijert
Comparison fields: 5 of 39
  • Genetics 137
  • Neurology 181
  • Pathology and Forensic Medicine 194
  • Hematology 41
  • Oncology 72
Replace Viola Pöschel with:
Viola Pöschel Germany
Antonello Calderoni Switzerland
Manuela Arcamone Italy
Rita Mazza Italy
D. Simon France
Jackline de Paula Ayres-Silva Brazil
Anna Ruskova New Zealand
Katerina Bakunina Netherlands
Marita Kloess Germany
Hanne Kuitunen Finland
Max Beijert relative to Viola Pöschel Germany Viola Pöschel's profile →
Citations per field
00.5×3.1×
Viola Pöschel · 1×
Citations per year

Countries citing papers authored by Max Beijert

Since Specialization
Citations

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

Fields of papers citing papers by Max Beijert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2019162
2 201640
3 202119
4 20219
5 20179
6 20158
7 20127
8 20136
9 20185
10 20204
11 20213
12 20233
13 20142
14 20192
15 20212
16 20211
17 20121

About Max Beijert

Max Beijert is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Oncology, Radiation and Epidemiology, having authored 17 papers that have together received 283 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Lung Cancer Treatments and Mutations (5 papers), Advanced Radiotherapy Techniques (4 papers), Multiple and Secondary Primary Cancers (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Brain Metastases and Treatment (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Genetics (137 citations), Neurology (181 citations), Pathology and Forensic Medicine (194 citations), Hematology (41 citations) and Oncology (72 citations). Max Beijert has collaborated with scholars based in Netherlands, Australia and France. Frequent co-authors include Martin J. van den Bent, Aart Beeker, Michael Gonzales, Joke W. Baars, Kylie D. Mason, Harry C. Schouten, Jeanette K. Doorduijn, Wendy B.C. Stevens, Gavin Cull and Daphne de Jong. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, Radiotherapy and Oncology, British Journal of Haematology and HemaSphere.

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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