Eva Hellström‐Lindberg
Impact in
- Hematology top 0.01%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Erythropoietin and Anemia Treatment
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 260
- Acute Myeloid Leukemia Research 229
- Erythropoietin and Anemia Treatment 19
- Hematopoietic Stem Cell Transplantation 18
- Iron Metabolism and Disorders 15
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- Cancer Genomics and Diagnostics 13
- Co-authors
- Anna Porwit‐MacDonald (12 shared papers)Richard D. Brunning (3 shared papers)Daniel A. Arber (3 shared papers)James W. Vardiman (3 shared papers)Ayalew Tefferi (2 shared papers)Nancy L. Harris (2 shared papers)Michael J. Borowitz (2 shared papers)Michelle M. Le Beau (2 shared papers)
- Journals
- Blood (76 papers)Leukemia (25 papers)Leukemia Research (22 papers)British Journal of Haematology (21 papers)Haematologica (20 papers)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Eva Hellström‐Lindberg
306 papers receiving 26.6k citations
Eva Hellström‐Lindberg's Hit Papers
Peers
Comparison fields: 5 of 148
- Hematology 18.3k
- Genetics 1.8k
- Cancer Research 1.4k
- Molecular Biology 4.2k
- Oncology 1.2k
Countries citing papers authored by Eva Hellström‐Lindberg
This map shows the geographic impact of Eva Hellström‐Lindberg'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 Eva Hellström‐Lindberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Hellström‐Lindberg more than expected).
Fields of papers citing papers by Eva Hellström‐Lindberg
This network shows the impact of papers produced by Eva Hellström‐Lindberg. 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 Eva Hellström‐Lindberg. The network helps show where Eva Hellström‐Lindberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Hellström‐Lindberg, 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 313 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes Hit paper breakdown → | 2009 | 3569 |
| 2 | Efficacy of azacitidine compared with that of conventional care regimens in the treatment of higher-risk myelodysplastic syndromes: a randomised, open-label, phase III study Hit paper breakdown → | 2009 | 2169 |
| 3 | International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data Hit paper breakdown → | 2022 | 1891 |
| 4 | Clinical and biological implications of driver mutations in myelodysplastic syndromes Hit paper breakdown → | 2013 | 1552 |
| 5 | SomaticSF3B1Mutation in Myelodysplasia with Ring Sideroblasts Hit paper breakdown → | 2011 | 1036 |
| 6 | Azacitidine Prolongs Overall Survival Compared With Conventional Care Regimens in Elderly Patients With Low Bone Marrow Blast Count Acute Myeloid Leukemia Hit paper breakdown → | 2009 | 824 |
| 7 | Molecular International Prognostic Scoring System for Myelodysplastic Syndromes Hit paper breakdown → | 2022 | 588 |
| 8 | Diagnosis and treatment of primary myelodysplastic syndromes in adults: recommendations from the European LeukemiaNet Hit paper breakdown → | 2013 | 538 |
| 9 | Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing Hit paper breakdown → | 2020 | 489 |
| 10 | Clinical significance of SF3B1 mutations in myelodysplastic syndromes and myelodysplastic/myeloproliferative neoplasms Hit paper breakdown → | 2011 | 421 |
| 11 | 2018 | 417 | |
| 12 | 2011 | 412 | |
| 13 | 2011 | 402 | |
| 14 | 2003 | 378 | |
| 15 | Genomic basis for RNA alterations in cancer Hit paper breakdown → | 2020 | 310 |
| 16 | The landscape of viral associations in human cancers Hit paper breakdown → | 2020 | 293 |
| 17 | 1995 | 279 | |
| 18 | 2014 | 265 | |
| 19 | 1997 | 251 | |
| 20 | SF3B1-mutant MDS as a distinct disease subtype: a proposal from the International Working Group for the Prognosis of MDS Hit paper breakdown → | 2020 | 244 |
About Eva Hellström‐Lindberg
Eva Hellström‐Lindberg is a scholar working on Hematology, Cancer Research, Genetics, Genetics and Molecular Biology, having authored 313 papers that have together received 27.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (229 papers), Erythropoietin and Anemia Treatment (19 papers), Hematopoietic Stem Cell Transplantation (18 papers), Iron Metabolism and Disorders (15 papers), Cancer Genomics and Diagnostics (13 papers), RNA Research and Splicing (12 papers), Blood disorders and treatments (8 papers) and Blood transfusion and management (7 papers). The work is most often cited by research in Hematology (18.3k citations), Genetics (1.8k citations), Cancer Research (1.4k citations), Molecular Biology (4.2k citations) and Oncology (1.2k citations). Eva Hellström‐Lindberg has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Anna Porwit‐MacDonald, Richard D. Brunning, Daniel A. Arber, James W. Vardiman, Ayalew Tefferi, Nancy L. Harris, Michael J. Borowitz, Michelle M. Le Beau, Clara Derber Bloomfield and Jüergen Thiele. Their work appears in journals such as Blood, Leukemia, Leukemia Research, British Journal of Haematology and Haematologica.
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.