Michael Löw
Impact in
- Hematology top 2%
- Iron Metabolism and Disorders
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 22
- Multiple Myeloma Research and Treatments 15
- Iron Metabolism and Disorders 4
-
- Protein Degradation and Inhibitors 6
- Amyloidosis: Diagnosis, Treatment, Outcomes 2
- Co-authors
- Sant‐Rayn Pasricha (3 shared papers)Ann Farrell (2 shared papers)Beverley‐Ann Biggs (1 shared paper)Luz Maria De‐Regil (1 shared paper)George Grigoriadis (12 shared papers)Jane Thompson (1 shared paper)Karl Perktold (2 shared papers)David M. Tarlinton (3 shared papers)
- Journals
- Blood (8 papers)British Journal of Haematology (2 papers)Journal of Clinical Oncology (1 paper)Journal of Personalized Medicine (1 paper)Cell Reports (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Michael Löw
31 papers receiving 863 citations
Peers
Comparison fields: 5 of 101
- Hematology 386
- Genetics 106
- Nutrition and Dietetics 104
- Neurology 75
- Physiology 128
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-authors
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
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 128 | |
| 2 | 2014 | 113 | |
| 3 | 2013 | 111 | |
| 4 | 2005 | 69 | |
| 5 | 2018 | 65 | |
| 6 | 1993 | 65 | |
| 7 | 2019 | 56 | |
| 8 | 2007 | 46 | |
| 9 | 2018 | 43 | |
| 10 | 2013 | 29 | |
| 11 | 2020 | 25 | |
| 12 | 2020 | 23 | |
| 13 | 2017 | 16 | |
| 14 | 2021 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2016 | 9 | |
| 17 | 2018 | 7 | |
| 18 | 2012 | 6 | |
| 19 | 2012 | 5 | |
| 20 | 2023 | 5 |
About Michael Löw
Michael Löw is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Genetics, having authored 37 papers that have together received 878 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (15 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), T-cell and B-cell Immunology (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Hematology (386 citations), Genetics (106 citations), Nutrition and Dietetics (104 citations), Neurology (75 citations) and Physiology (128 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, David M. Tarlinton, Kathy Nicholls and Pasquale L. Fedele. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Journal of Personalized Medicine 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.