Max Hubmann
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
-
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 12
- Hematopoietic Stem Cell Transplantation 8
- Acute Myeloid Leukemia Research 5
-
- Acute Lymphoblastic Leukemia research 4
- Co-authors
- Roland Hardt (1 shared paper)Thomas Köhnke (3 shared papers)Dušan Prevalšek (6 shared papers)Andreas Hausmann (6 shared papers)Johanna Tischer (7 shared papers)Christoph Udo Schulz (6 shared papers)Veit Bücklein (6 shared papers)Max Schaldach (1 shared paper)
- Journals
- Blood (5 papers)Annals of Hematology (3 papers)Leukemia (1 paper)American Journal of Hematology (1 paper)Oncotarget (1 paper)
- Partner nations
- GermanyNew Zealand
In The Last Decade
Max Hubmann
14 papers receiving 431 citations
Peers
Comparison fields: 5 of 48
- Hematology 296
- Genetics 61
- Cancer Research 73
- Oncology 58
- Public Health, Environmental and Occupational Health 54
Countries citing papers authored by Max Hubmann
This map shows the geographic impact of Max Hubmann'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 Max Hubmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Hubmann more than expected).
Fields of papers citing papers by Max Hubmann
This network shows the impact of papers produced by Max Hubmann. 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 Max Hubmann. The network helps show where Max Hubmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Hubmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 118 | |
| 2 | 2014 | 85 | |
| 3 | 2015 | 68 | |
| 4 | 1990 | 39 | |
| 5 | 2018 | 36 | |
| 6 | 2013 | 30 | |
| 7 | 2016 | 25 | |
| 8 | 2018 | 20 | |
| 9 | 1982 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2015 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2006 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2015 | 0 |
About Max Hubmann
Max Hubmann is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Oncology and Cancer Research, having authored 15 papers that have together received 443 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Acute Myeloid Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Polyomavirus and related diseases (3 papers), Cancer Genomics and Diagnostics (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Acoustic Wave Resonator Technologies (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Hematology (296 citations), Genetics (61 citations), Cancer Research (73 citations), Oncology (58 citations) and Public Health, Environmental and Occupational Health (54 citations). Max Hubmann has collaborated with scholars based in Germany and New Zealand. Frequent co-authors include Roland Hardt, Thomas Köhnke, Dušan Prevalšek, Andreas Hausmann, Johanna Tischer, Christoph Udo Schulz, Veit Bücklein, Max Schaldach, Georg Ledderose and Hans‐Joachim Stemmler. Their work appears in journals such as Blood, Annals of Hematology, Leukemia, American Journal of Hematology and Oncotarget.
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.