Marcus Järås
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Aging top 5%
Papers in
- Hematology 18
- Acute Myeloid Leukemia Research 10
- Chronic Myeloid Leukemia Treatments 9
- Immunology 18
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 4
- Co-authors
- Mattias Carlsten (1 shared paper)Thoas Fioretos (19 shared papers)Johan Richter (13 shared papers)Marianne Rissler (13 shared papers)Helena Ågerstam (12 shared papers)Nils Hansen (12 shared papers)Benjamin L. Ebert (7 shared papers)Rebekka K. Schneider (4 shared papers)
- Journals
- Blood (13 papers)Haematologica (5 papers)Blood Advances (3 papers)Experimental Hematology (2 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- SwedenUnited StatesDenmark
In The Last Decade
Marcus Järås
39 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 78
- Hematology 563
- Aging 41
- Endocrine and Autonomic Systems 144
- Genetics 188
- Immunology 355
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 198 | |
| 2 | 2014 | 140 | |
| 3 | 2010 | 136 | |
| 4 | 2019 | 104 | |
| 5 | 2013 | 95 | |
| 6 | 2015 | 89 | |
| 7 | 2016 | 70 | |
| 8 | 2014 | 69 | |
| 9 | 2017 | 67 | |
| 10 | 2017 | 51 | |
| 11 | 2017 | 37 | |
| 12 | 2017 | 36 | |
| 13 | 2020 | 31 | |
| 14 | 2019 | 18 | |
| 15 | 2023 | 16 | |
| 16 | 2006 | 16 | |
| 17 | 2010 | 16 | |
| 18 | 2014 | 14 | |
| 19 | 2021 | 12 | |
| 20 | 2006 | 11 |
About Marcus Järås
Marcus Järås is a scholar working on Hematology, Immunology, Molecular Biology, Oncology and Genetics, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Acute Myeloid Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (9 papers), RNA Interference and Gene Delivery (4 papers), Immunotherapy and Immune Responses (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), CAR-T cell therapy research (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (563 citations), Aging (41 citations), Endocrine and Autonomic Systems (144 citations), Genetics (188 citations) and Immunology (355 citations). Marcus Järås has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Mattias Carlsten, Thoas Fioretos, Johan Richter, Marianne Rissler, Helena Ågerstam, Nils Hansen, Benjamin L. Ebert, Rebekka K. Schneider, Marie McConkey and Maria Askmyr. Their work appears in journals such as Blood, Haematologica, Blood Advances, Experimental Hematology and The Journal of Experimental Medicine.
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.