Munich Leukemia Laboratory (Germany)
In research, Munich Leukemia Laboratory (Germany) stands highest in Medicine (#7,393 of 10,443 worldwide) and Health Sciences (#9,239 of 11,982 worldwide), 2022–2025. Relative to its size it is most specialised in Hematology and Genetics — Hematology is 102.3× its share of world research.
- World rank, 2022–2025
- #15,574 of 28,054 · #16,517 all time
- Rank in Germany
- #610 of 1,178
- Research works
- 824 ▼ 14% vs 2013–17
- Citations
- 14k 17.5 per fractional work
- Top-10% rate
- 12.8% record average 16.5%
- Open access
- 25% world 28%
What is Munich Leukemia Laboratory (Germany) known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| MedicineField | #7,393 of 10,443 | 14.1% | 100 | #7456 | |
| Health SciencesDomain | #9,239 of 11,982 | 13.9% | 101 | #10028 |
Each strip is that field’s whole ranked pool, with the notch where Munich Leukemia Laboratory (Germany) sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
What does Munich Leukemia Laboratory (Germany) specialise in?
Where its research is concentrated relative to its size: Hematology takes 102.3× the share of its output that it takes of world research.
- HematologySubfield · 47.7 works102×
- GeneticsSubfield · 20.8 works49×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Biochemistry, Genetics and Molecular Biology, 3.7×. Every wedge is a field page.
- Biochemistry, Genetics and Molecular Biology 3.7×
- Immunology and Microbiology 3.6×
- Medicine 3.4×
- Earth and Planetary Sciences 1.3×
- Computer Science 0.7×
- Chemistry 0.3×
- Health Professions 0.3×
- Materials Science 0.2×
- Agricultural and Biological Sciences 0.1×
- Environmental Science 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Neuroscience 0.1×
- Engineering 0.0×
- Economics, Econometrics and Finance 0.0×
- Mathematics 0.0×
- Physics and Astronomy 0.0×
Who are the top researchers at Munich Leukemia Laboratory (Germany)?
Ranked on the composite score, Torsten Haferlach, Constance Baer and Wolfgang Kern lead among researchers whose main affiliation is Munich Leukemia Laboratory (Germany).
- 1 Torsten Haferlach Germany · #166,334 worldwide 880 citations · 310 works
- 2 Constance Baer Germany · #382,417 worldwide 82 citations · 21 works
- 3 Wolfgang Kern Germany · #500,969 worldwide 282 citations · 160 works
- 4 Frank Dicker Germany · #617,551 worldwide 51 citations · 18 works
- 5 Susanne Schnittger Germany · #620,450 worldwide 219 citations · 174 works
- 6 Tamara Alpermann Germany · #753,853 worldwide 37 citations · 19 works
- 7 Manja Meggendorfer Germany · #825,138 worldwide 62 citations · 56 works
- 8 Claudia Haferlach Germany · #848,449 worldwide 157 citations · 209 works
- 9 Alexander Kohlmann Germany · #1,008,286 worldwide 58 citations · 27 works
- 10 G Hörmann Germany · #1,028,033 worldwide 3 citations · 15 works
Which keywords describe research at Munich Leukemia Laboratory (Germany)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Prognostic Factors, Hematopoietic Stem Cells, Acute Myeloid Leukemia, AML, JAK2 Mutation, Myelofibrosis, Minimal Residual Disease and Rituximab.
- Histopathology Images
- Molecular Profiling
- Malaria Parasite Detection
- International Myeloma Working Group
- Feature Extraction
- PET Imaging
- Chronic Lymphocytic Leukemia
- Childhood Cancer
- Therapeutic Targets
- Classification
- Mutational Signatures
- Genomic Instability
- Image Processing
- Mutation
- Somatic Mutations
- Convolutional Neural Networks
- Minimal Residual Disease
- Myelofibrosis
- Acute Myeloid Leukemia
- Hematopoietic Stem Cells
- Prognostic Factors
- AML
- JAK2 Mutation
- Machine Learning
- Rituximab
- Medical Image Analysis
- Lymphoma
- Cell-Free DNA
- Targeted Therapy
- Cancer Genomics
- BCR-ABL
- Imatinib
- Acute Lymphoblastic Leukemia
- Genetic Alterations
- Genomic Aberrations
- Proteasome Inhibitors
- Diagnosis Criteria
- Leukemia Classification
- Genetic Pathogenesis
- Computer-Aided Detection
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Prognostic Factors45▲ 68×6 topics
- Hematopoietic Stem Cells36▲ 268×3 topics
- AML34▲ 445×1 topic
- Acute Myeloid Leukemia34▲ 445×1 topic
- JAK2 Mutation14▲ 382×1 topic
- Myelofibrosis14▲ 382×1 topic
- Machine Learning14▲ 2.7×9 topics
- Minimal Residual Disease11▲ 102×2 topics
- Rituximab10▲ 45×3 topics
- Convolutional Neural Networks9▲ 7.9×3 topics
- Medical Image Analysis9▲ 31×2 topics
- Somatic Mutations9▲ 68×2 topics
- Lymphoma7▲ 29×3 topics
- Mutation7▲ 23×3 topics
- Cell-Free DNA7▲ 43×2 topics
- Image Processing6▲ 9.6×2 topics
- Targeted Therapy6▲ 19×3 topics
- Genomic Instability6▲ 37×2 topics
- Cancer Genomics6▲ 56×1 topic
- Mutational Signatures6▲ 56×1 topic
- BCR-ABL6▲ 148×1 topic
- Classification6▲ 8.6×2 topics
- Imatinib6▲ 148×1 topic
- Therapeutic Targets6▲ 25×4 topics
- Acute Lymphoblastic Leukemia6▲ 108×1 topic
- Childhood Cancer6▲ 108×1 topic
- Genetic Alterations6▲ 47×2 topics
- Chronic Lymphocytic Leukemia6▲ 80×1 topic
- Genomic Aberrations6▲ 80×1 topic
- PET Imaging6▲ 21×2 topics
- Proteasome Inhibitors6▲ 50×2 topics
- Feature Extraction5▲ 7.5×2 topics
- Diagnosis Criteria5▲ 96×1 topic
- International Myeloma Working Group5▲ 96×1 topic
- Leukemia Classification5▲ 114×1 topic
- Malaria Parasite Detection5▲ 114×1 topic
- Genetic Pathogenesis5▲ 60×1 topic
- Molecular Profiling5▲ 32×1 topic
- Computer-Aided Detection4▲ 28×1 topic
- Histopathology Images4▲ 28×1 topic
Which research topics does Munich Leukemia Laboratory (Germany) publish most on?
By volume in 2022–2025: Acute Myeloid Leukemia Research, Myeloproliferative Neoplasms: Diagnosis and Treatment, Cancer Genomics and Diagnostics and Chronic Myeloid Leukemia Treatments.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Acute Myeloid Leukemia Research Hematology 34 works
- 2 Myeloproliferative Neoplasms: Diagnosis and Treatment Genetics 14 works
- 3 Cancer Genomics and Diagnostics Cancer Research 6 works
- 4 Chronic Myeloid Leukemia Treatments Hematology 6 works
- 5 Acute Lymphoblastic Leukemia research Public Health, Environmental and Occupational Health 6 works
- 6 Chronic Lymphocytic Leukemia Research Genetics 6 works
- 7 Multiple Myeloma Research and Treatments Hematology 5 works
- 8 Digital Imaging for Blood Diseases Computer Vision and Pattern Recognition 5 works
- 9 Lymphoma Diagnosis and Treatment Pathology and Forensic Medicine 5 works
- 10 AI in cancer detection Artificial Intelligence 4 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Munich Leukemia Laboratory (Germany)'s research output changed?
Output in 2018–2022 was 14% lower than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Munich
- Ludwig-Maximilians-Universität München
- Max Planck Society
- Technical University of Munich
- Siemens (Germany)
- München Klinik
- LMU Klinikum
- Munich University of Applied Sciences
- TUM Klinikum
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.