Simon Husby
Impact in
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- Lymphoma Diagnosis and Treatment
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
Papers in
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- Lymphoma Diagnosis and Treatment 20
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- Acute Myeloid Leukemia Research 3
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Kirsten Grønbæk (22 shared papers)Christian H. Geisler (6 shared papers)Mats Jerkeman (8 shared papers)Christian Winther Eskelund (7 shared papers)Arne Kolstad (7 shared papers)Riikka Räty (7 shared papers)Jakob Werner Hansen (4 shared papers)Lone Bredo Pedersen (4 shared papers)
In The Last Decade
Simon Husby
25 papers receiving 841 citations
Simon Husby's Hit Papers
Peers
Comparison fields: 5 of 34
- Pathology and Forensic Medicine 583
- Hematology 150
- Genetics 28
- Oncology 57
- Cancer Research 30
Countries citing papers authored by Simon Husby
This map shows the geographic impact of Simon Husby'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 Simon Husby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Husby more than expected).
Fields of papers citing papers by Simon Husby
This network shows the impact of papers produced by Simon Husby. 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 Simon Husby. The network helps show where Simon Husby may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Husby, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TP53 mutations identify younger mantle cell lymphoma patients who do not benefit from intensive chemoimmunotherapy Hit paper breakdown → | 2017 | 321 |
| 2 | 2016 | 171 | |
| 3 | 2020 | 64 | |
| 4 | 2016 | 52 | |
| 5 | 2019 | 45 | |
| 6 | 2015 | 42 | |
| 7 | 2020 | 37 | |
| 8 | 2021 | 24 | |
| 9 | 2023 | 19 | |
| 10 | 2017 | 17 | |
| 11 | 2020 | 15 | |
| 12 | 2013 | 11 | |
| 13 | 2022 | 7 | |
| 14 | 2016 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2012 | 2 |
About Simon Husby
Simon Husby is a scholar working on Pathology and Forensic Medicine, Hematology, Cancer Research, Cardiology and Cardiovascular Medicine and Genetics, having authored 29 papers that have together received 855 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (20 papers), Acute Myeloid Leukemia Research (3 papers), MicroRNA in disease regulation (2 papers), Multiple Myeloma Research and Treatments (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Protein Tyrosine Phosphatases (1 paper), COVID-19 Clinical Research Studies (1 paper) and Multiple and Secondary Primary Cancers (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (583 citations), Hematology (150 citations), Genetics (28 citations), Oncology (57 citations) and Cancer Research (30 citations). Simon Husby has collaborated with scholars based in Denmark, Sweden and Norway. Frequent co-authors include Kirsten Grønbæk, Christian H. Geisler, Mats Jerkeman, Christian Winther Eskelund, Arne Kolstad, Riikka Räty, Jakob Werner Hansen, Lone Bredo Pedersen, Peter de Nully Brown and Sara Ek. Their work appears in journals such as Blood, British Journal of Haematology, Leukemia, Blood Advances and Bone Marrow Transplantation.
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.