Maja Bech Juul
- Pathology and Forensic Medicine top 10%
- Oncology
- Neurology
- Cardiology and Cardiovascular Medicine
- Genetics
- Co-authors
- Tarec Christoffer El‐GalalyPeter de Nully BrownPär JosefssonThomas Stauffer LarsenJudit JørgensenJoachim BæchOlav J. BergmannMartin Bøgsted
- Topics
- Lymphoma Diagnosis and Treatment (6 papers)CNS Lymphoma Diagnosis and Treatment (3 papers)Chronic Lymphocytic Leukemia Research (3 papers)
- Partner nations
- DenmarkUnited States
In The Last Decade
Maja Bech Juul
11 papers receiving 208 citations
Peers
Comparison fields: 5 of 35
- Pathology and Forensic Medicine 167
- Oncology 95
- Neurology 66
- Cardiology and Cardiovascular Medicine 46
- Genetics 38
Countries citing papers authored by Maja Bech Juul
This map shows the geographic impact of Maja Bech Juul'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 Maja Bech Juul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Bech Juul more than expected).
Fields of papers citing papers by Maja Bech Juul
This network shows the impact of papers produced by Maja Bech Juul. 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 Maja Bech Juul. The network helps show where Maja Bech Juul may publish in the future.
Co-authorship network of co-authors of Maja Bech Juul
This figure shows the co-authorship network connecting the top 25 collaborators of Maja Bech Juul. A scholar is included among the top collaborators of Maja Bech Juul 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 Maja Bech Juul. Maja Bech Juul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 58 | |
| 4 | 44 | |
| 5 | 1 | |
| 6 | 63 | |
| 7 | 3 | |
| 8 | Validation of the German high-grade non-hodkin lymphoma study group (DSHNHL) prognostic model for CNS replapse in a large cohort of PET/CT staged patients | 5 |
| 9 | Validation of the German High-Grade Non-Hodgkin Lymphoma Study Group (DSHNHL) prognostic model for CNS relapse in a large cohort of PET/CT staged patients | 1 |
| 10 | 25 | |
| 11 | 4 |
About Maja Bech Juul
Maja Bech Juul is a scholar working on Genetics, Pathology and Forensic Medicine and Neurology, having authored 11 papers that have together received 208 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (167 citations), Neurology (66 citations) and Genetics (38 citations). Maja Bech Juul has collaborated with scholars based in Denmark and United States. Frequent co-authors include Tarec Christoffer El‐Galaly, Peter de Nully Brown, Pär Josefsson, Thomas Stauffer Larsen, Judit Jørgensen, Joachim Bæch, Olav J. Bergmann, Martin Bøgsted, Hans Erik Johnsen and Henrik Frederiksen. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer and British Journal of Haematology.
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.