Michael Daskalakis
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
- Hematology 28
- Acute Myeloid Leukemia Research 12
- Multiple Myeloma Research and Treatments 5
- Blood groups and transfusion 5
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- Protein Degradation and Inhibitors 4
- Co-authors
- Michael Lübbert (4 shared papers)Pierre W. Wijermans (2 shared papers)Carvell T. Nguyen (1 shared paper)Per Guldberg (1 shared paper)Gabriele Köhler (1 shared paper)TuDung T. Nguyen (1 shared paper)Peter A. Jones (1 shared paper)Björn Hackanson (2 shared papers)
- Journals
- Cancers (7 papers)Blood (5 papers)Journal of Clinical Medicine (5 papers)Leukemia Research (2 papers)Recent results in cancer research (2 papers)
- Partner nations
- SwitzerlandGermanyAustralia
In The Last Decade
Michael Daskalakis
48 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 88
- Hematology 494
- Transplantation 88
- Genetics 177
- Nephrology 114
- Molecular Biology 677
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 402 | |
| 2 | 2015 | 149 | |
| 3 | 1997 | 116 | |
| 4 | 2010 | 94 | |
| 5 | 2002 | 83 | |
| 6 | 2018 | 57 | |
| 7 | 1995 | 54 | |
| 8 | 2006 | 44 | |
| 9 | 2014 | 42 | |
| 10 | 2023 | 40 | |
| 11 | 2009 | 37 | |
| 12 | 2023 | 35 | |
| 13 | 2004 | 28 | |
| 14 | 2014 | 28 | |
| 15 | 1994 | 27 | |
| 16 | 2023 | 23 | |
| 17 | 2014 | 18 | |
| 18 | 2000 | 17 | |
| 19 | 2024 | 16 | |
| 20 | 2018 | 16 |
About Michael Daskalakis
Michael Daskalakis is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Genetics, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), CAR-T cell therapy research (12 papers), Lymphoma Diagnosis and Treatment (5 papers), Multiple Myeloma Research and Treatments (5 papers), Blood groups and transfusion (5 papers), Protein Degradation and Inhibitors (4 papers), Immune Cell Function and Interaction (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Hematology (494 citations), Transplantation (88 citations), Genetics (177 citations), Nephrology (114 citations) and Molecular Biology (677 citations). Michael Daskalakis has collaborated with scholars based in Switzerland, Germany and Australia. Frequent co-authors include Michael Lübbert, Pierre W. Wijermans, Carvell T. Nguyen, Per Guldberg, Gabriele Köhler, TuDung T. Nguyen, Peter A. Jones, Björn Hackanson, Rinaldo Bellomo and Neil Boyce. Their work appears in journals such as Cancers, Blood, Journal of Clinical Medicine, Leukemia Research and Recent results in cancer research.
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.