Michael Daskalakis
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
- Hematology 35
- Acute Myeloid Leukemia Research 15
- Multiple Myeloma Research and Treatments 8
- Oncology 27
- CAR-T cell therapy research 22
- Co-authors
- Michael Lübbert (6 shared papers)Pierre W. Wijermans (2 shared papers)TuDung T. Nguyen (1 shared paper)Gabriele Köhler (1 shared paper)Peter Anthony Jones (1 shared paper)Carvell T. Nguyen (1 shared paper)Per Guldberg (1 shared paper)Björn W. Hackanson (2 shared papers)
- Journals
- Cancers (7 papers)Bone Marrow Transplantation (5 papers)Blood (5 papers)Journal of Clinical Medicine (5 papers)Hematological Oncology (4 papers)
- Partner nations
- SwitzerlandGermanyNetherlands
In The Last Decade
Michael Daskalakis
70 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 88
- Hematology 563
- Transplantation 85
- Genetics 211
- Nephrology 141
- Oncology 385
Countries citing papers authored by Michael Daskalakis
This map shows the geographic impact of Michael Daskalakis'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 Daskalakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Daskalakis more than expected).
Fields of papers citing papers by Michael Daskalakis
This network shows the impact of papers produced by Michael Daskalakis. 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 Daskalakis. The network helps show where Michael Daskalakis may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Daskalakis, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 431 | |
| 2 | 2017 | 231 | |
| 3 | 2015 | 170 | |
| 4 | 2010 | 101 | |
| 5 | 2002 | 97 | |
| 6 | 2023 | 65 | |
| 7 | 2023 | 63 | |
| 8 | 1995 | 61 | |
| 9 | 2023 | 52 | |
| 10 | 2006 | 52 | |
| 11 | 1997 | 45 | |
| 12 | 2014 | 44 | |
| 13 | 2000 | 41 | |
| 14 | 2009 | 40 | |
| 15 | 1991 | 33 | |
| 16 | 2023 | 31 | |
| 17 | 2004 | 31 | |
| 18 | 2014 | 31 | |
| 19 | 1994 | 30 | |
| 20 | 2024 | 28 |
About Michael Daskalakis
Michael Daskalakis is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 79 papers that have together received 2.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (22 papers), Acute Myeloid Leukemia Research (15 papers), Multiple Myeloma Research and Treatments (8 papers), Protein Degradation and Inhibitors (7 papers), Epigenetics and DNA Methylation (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Integrated Circuits and Semiconductor Failure Analysis (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). The work is most often cited by research in Hematology (563 citations), Transplantation (85 citations), Genetics (211 citations), Nephrology (141 citations) and Oncology (385 citations). Michael Daskalakis has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Michael Lübbert, Pierre W. Wijermans, TuDung T. Nguyen, Gabriele Köhler, Peter Anthony Jones, Carvell T. Nguyen, Per Guldberg, Björn W. Hackanson, Neil Boyce and Ulrike Bacher. Their work appears in journals such as Cancers, Bone Marrow Transplantation, Blood, Journal of Clinical Medicine and Hematological Oncology.
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.