Michael Löw
- Hematology top 2%
- Multiple Myeloma Research and Treatments 14
- Iron Metabolism and Disorders 4
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 3
- Hemoglobinopathies and Related Disorders 3
- Nutrition and Dietetics top 5%
- Child Nutrition and Water Access 2
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- Protein Degradation and Inhibitors 6
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- Peptidase Inhibition and Analysis 4
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- T-cell and B-cell Immunology 3
- Co-authors
- Sant‐Rayn PasrichaAnn FarrellBeverley‐Ann BiggsLuz Maria De‐RegilGeorge GrigoriadisJane ThompsonKarl PerktoldKathy Nicholls
- Journals
- Blood (7 papers)British Journal of Haematology (2 papers)Journal of Personalized Medicine (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Michael Löw
31 papers receiving 844 citations
Peers
Comparison fields: 5 of 105
- Hematology 416
- Genetics 168
- Nutrition and Dietetics 168
- Neurology 91
- Physiology 148
Countries citing papers authored by Michael Löw
This map shows the geographic impact of Michael Löw'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 Michael Löw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Löw more than expected).
Fields of papers citing papers by Michael Löw
This network shows the impact of papers produced by Michael Löw. 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 Michael Löw. The network helps show where Michael Löw may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Löw, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 25 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 53 | |
| 11 | 2018 | 41 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 12 | |
| 14 | 2016 | 126 | |
| 15 | 2016 | 9 | |
| 16 | 2014 | 111 | |
| 17 | 2013 | 30 | |
| 18 | 2007 | 45 | |
| 19 | 2005 | 67 | |
| 20 | Mathematical modelling of blood flow in arterial bifurcations | 1996 | 2 |
About Michael Löw
Michael Löw is a scholar working on Hematology, Genetics, Oncology, Immunology and Molecular Biology, having authored 36 papers that have together received 861 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (14 papers), Protein Degradation and Inhibitors (6 papers), Peptidase Inhibition and Analysis (4 papers), Iron Metabolism and Disorders (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Hemoglobinopathies and Related Disorders (3 papers), T-cell and B-cell Immunology (3 papers) and Child Nutrition and Water Access (2 papers). The work is most often cited by research in Hematology (416 citations), Genetics (168 citations), Nutrition and Dietetics (168 citations), Neurology (91 citations) and Physiology (148 citations). Michael Löw has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Sant‐Rayn Pasricha, Ann Farrell, Beverley‐Ann Biggs, Luz Maria De‐Regil, George Grigoriadis, Jane Thompson, Karl Perktold, Kathy Nicholls, David M. Tarlinton and Pasquale L. Fedele. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Personalized Medicine, Frontiers in Immunology and Cell Reports.
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.