Marcus Järås
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
Papers in
- Hematology 22
- Acute Myeloid Leukemia Research 13
- Chronic Myeloid Leukemia Treatments 10
- Immunology 16
- Immune Cell Function and Interaction 9
- Co-authors
- Thoas Fioretos (19 shared papers)Mattias Carlsten (1 shared paper)Benjamin L. Ebert (8 shared papers)Johan Richter (14 shared papers)Helena Ågerstam (14 shared papers)Marianne Rissler (14 shared papers)Nils Hansen (12 shared papers)Maria Askmyr (10 shared papers)
- Journals
- Blood (10 papers)Haematologica (5 papers)Leukemia (4 papers)Cancer Cell (3 papers)Blood Advances (3 papers)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Marcus Järås
44 papers receiving 2.6k citations
Marcus Järås's Hit Papers
Peers
Comparison fields: 5 of 88
- Hematology 1.2k
- Genetics 338
- Aging 49
- Endocrine and Autonomic Systems 164
- Immunology 522
Countries citing papers authored by Marcus Järås
This map shows the geographic impact of Marcus Järås'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 Marcus Järås with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Järås more than expected).
Fields of papers citing papers by Marcus Järås
This network shows the impact of papers produced by Marcus Järås. 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 Marcus Järås. The network helps show where Marcus Järås may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcus Järås, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lenalidomide induces ubiquitination and degradation of CK1α in del(5q) MDS Hit paper breakdown → | 2015 | 733 |
| 2 | 2016 | 218 | |
| 3 | 2014 | 171 | |
| 4 | 2010 | 151 | |
| 5 | 2013 | 134 | |
| 6 | 2019 | 117 | |
| 7 | 2013 | 109 | |
| 8 | 2013 | 96 | |
| 9 | 2015 | 96 | |
| 10 | 2014 | 85 | |
| 11 | 2016 | 84 | |
| 12 | 2017 | 81 | |
| 13 | 2017 | 75 | |
| 14 | 2017 | 59 | |
| 15 | 2015 | 41 | |
| 16 | 2017 | 41 | |
| 17 | 2017 | 40 | |
| 18 | 2018 | 39 | |
| 19 | 2011 | 35 | |
| 20 | 2020 | 33 |
About Marcus Järås
Marcus Järås is a scholar working on Hematology, Immunology, Oncology, Molecular Biology and Genetics, having authored 46 papers that have together received 2.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Chronic Myeloid Leukemia Treatments (10 papers), Immune Cell Function and Interaction (9 papers), Cytokine Signaling Pathways and Interactions (5 papers), RNA Interference and Gene Delivery (5 papers), CAR-T cell therapy research (4 papers), Protein Degradation and Inhibitors (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (338 citations), Aging (49 citations), Endocrine and Autonomic Systems (164 citations) and Immunology (522 citations). Marcus Järås has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Thoas Fioretos, Mattias Carlsten, Benjamin L. Ebert, Johan Richter, Helena Ågerstam, Marianne Rissler, Nils Hansen, Maria Askmyr, Rebekka K. Schneider and Marie Ellen McConkey. Their work appears in journals such as Blood, Haematologica, Leukemia, Cancer Cell and Blood Advances.
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.