Torsten Haferlach
Impact in
- Hematology top 0.01%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 0.01%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 774
- Acute Myeloid Leukemia Research 681
- Chronic Myeloid Leukemia Treatments 199
- Genetics 394
- Myeloproliferative Neoplasms: Diagnosis and Treatment 229
- Chronic Lymphocytic Leukemia Research 159
- Co-authors
- Wolfgang Kern (251 shared papers)Susanne Schnittger (251 shared papers)Claudia Haferlach (251 shared papers)Claudia Schoch (149 shared papers)Wolfgang Hiddemann (95 shared papers)Alexander Kohlmann (160 shared papers)Ulrike Bacher (117 shared papers)Frank Dicker (97 shared papers)
- Journals
- Blood (351 papers)Leukemia (158 papers)British Journal of Haematology (49 papers)Haematologica (48 papers)Genes Chromosomes and Cancer (25 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Torsten Haferlach
993 papers receiving 48.1k citations
Torsten Haferlach's Hit Papers
Peers
Comparison fields: 5 of 169
- Hematology 32.9k
- Genetics 15.4k
- Cancer Research 5.1k
- Pathology and Forensic Medicine 4.5k
- Immunology 5.3k
Countries citing papers authored by Torsten Haferlach
This map shows the geographic impact of Torsten Haferlach'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 Torsten Haferlach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Haferlach more than expected).
Fields of papers citing papers by Torsten Haferlach
This network shows the impact of papers produced by Torsten Haferlach. 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 Torsten Haferlach. The network helps show where Torsten Haferlach may publish in the future.
Co-authors
The 25 scholars most cited alongside Torsten Haferlach, 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 1.0k papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Myeloid and Histiocytic/Dendritic Neoplasms Hit paper breakdown → | 2022 | 2560 |
| 2 | Frequent pathway mutations of splicing machinery in myelodysplasia Hit paper breakdown → | 2011 | 1685 |
| 3 | Landscape of genetic lesions in 944 patients with myelodysplastic syndromes Hit paper breakdown → | 2013 | 1267 |
| 4 | Minimal/measurable residual disease in AML: a consensus document from the European LeukemiaNet MRD Working Party Hit paper breakdown → | 2018 | 844 |
| 5 | BRAF Mutations in Hairy-Cell Leukemia Hit paper breakdown → | 2011 | 840 |
| 6 | Analysis of FLT3 length mutations in 1003 patients with acute myeloid leukemia: correlation to cytogenetics, FAB subtype, and prognosis in the AMLCG study and usefulness as a marker for the detection of minimal residual disease Hit paper breakdown → | 2002 | 838 |
| 7 | Selective BCL-2 Inhibition by ABT-199 Causes On-Target Cell Death in Acute Myeloid Leukemia Hit paper breakdown → | 2013 | 608 |
| 8 | 2005 | 603 | |
| 9 | 2021 Update on MRD in acute myeloid leukemia: a consensus document from the European LeukemiaNet MRD Working Party Hit paper breakdown → | 2021 | 547 |
| 10 | Clinical Utility of Microarray-Based Gene Expression Profiling in the Diagnosis and Subclassification of Leukemia: Report From the International Microarray Innovations in Leukemia Study Group Hit paper breakdown → | 2010 | 542 |
| 11 | Contemporary consensus proposal on criteria and classification of eosinophilic disorders and related syndromes Hit paper breakdown → | 2012 | 534 |
| 12 | 2011 | 470 | |
| 13 | Prognostic Score Including Gene Mutations in Chronic Myelomonocytic Leukemia Hit paper breakdown → | 2013 | 458 |
| 14 | 2008 | 426 | |
| 15 | 2007 | 420 | |
| 16 | 2001 | 411 | |
| 17 | 2013 | 409 | |
| 18 | Sorafenib Maintenance After Allogeneic Hematopoietic Stem Cell Transplantation for Acute Myeloid Leukemia With FLT3 –Internal Tandem Duplication Mutation (SORMAIN) Hit paper breakdown → | 2020 | 408 |
| 19 | 1995 | 406 | |
| 20 | 2007 | 347 |
About Torsten Haferlach
Torsten Haferlach is a scholar working on Hematology, Genetics, Cancer Research, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 1.0k papers that have together received 49.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (681 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (229 papers), Chronic Myeloid Leukemia Treatments (199 papers), Chronic Lymphocytic Leukemia Research (159 papers), Acute Lymphoblastic Leukemia research (134 papers), Cancer Genomics and Diagnostics (112 papers), Retinoids in leukemia and cellular processes (84 papers) and Lymphoma Diagnosis and Treatment (84 papers). The work is most often cited by research in Hematology (32.9k citations), Genetics (15.4k citations), Cancer Research (5.1k citations), Pathology and Forensic Medicine (4.5k citations) and Immunology (5.3k citations). Torsten Haferlach has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Wolfgang Kern, Susanne Schnittger, Claudia Haferlach, Claudia Schoch, Wolfgang Hiddemann, Alexander Kohlmann, Ulrike Bacher, Frank Dicker, Tamara Alpermann and Manja Meggendorfer. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, Haematologica and Genes Chromosomes and Cancer.
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.