Matthew T. Witkowski
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
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- CAR-T cell therapy research
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 13
- Chronic Myeloid Leukemia Treatments 5
- Hematopoietic Stem Cell Transplantation 3
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- RNA Research and Splicing 3
- Single-cell and spatial transcriptomics 2
- Co-authors
- Iannis Aifantis (15 shared papers)Charles G. Mullighan (6 shared papers)Stavroula Kousteni (1 shared paper)Weiqiang Chen (4 shared papers)Chao Ma (3 shared papers)Palaniraja Thandapani (3 shared papers)Eric Wang (3 shared papers)Audrey Lasry (1 shared paper)
- Journals
- Blood (8 papers)Nature Communications (2 papers)The Journal of Experimental Medicine (2 papers)Science Advances (2 papers)Genes & Development (2 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Matthew T. Witkowski
25 papers receiving 490 citations
Peers
Comparison fields: 5 of 62
- Hematology 151
- Oncology 149
- Immunology 105
- Cancer Research 64
- Public Health, Environmental and Occupational Health 103
Countries citing papers authored by Matthew T. Witkowski
This map shows the geographic impact of Matthew T. Witkowski'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 Matthew T. Witkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Witkowski more than expected).
Fields of papers citing papers by Matthew T. Witkowski
This network shows the impact of papers produced by Matthew T. Witkowski. 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 Matthew T. Witkowski. The network helps show where Matthew T. Witkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew T. Witkowski, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 66 | |
| 2 | 2014 | 65 | |
| 3 | 2021 | 47 | |
| 4 | 2016 | 37 | |
| 5 | 2023 | 36 | |
| 6 | 2021 | 35 | |
| 7 | 2019 | 34 | |
| 8 | 2019 | 33 | |
| 9 | 2022 | 26 | |
| 10 | 2015 | 24 | |
| 11 | 2017 | 22 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 16 | |
| 14 | 2023 | 11 | |
| 15 | 2025 | 4 | |
| 16 | 2014 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 2 |
About Matthew T. Witkowski
Matthew T. Witkowski is a scholar working on Hematology, Molecular Biology, Public Health, Environmental and Occupational Health, Oncology and Immunology, having authored 27 papers that have together received 493 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Acute Lymphoblastic Leukemia research (11 papers), CAR-T cell therapy research (9 papers), Chronic Myeloid Leukemia Treatments (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), RNA Research and Splicing (3 papers), Single-cell and spatial transcriptomics (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (151 citations), Oncology (149 citations), Immunology (105 citations), Cancer Research (64 citations) and Public Health, Environmental and Occupational Health (103 citations). Matthew T. Witkowski has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Iannis Aifantis, Charles G. Mullighan, Stavroula Kousteni, Weiqiang Chen, Chao Ma, Palaniraja Thandapani, Eric Wang, Audrey Lasry, Aristotelis Tsirigos and William L. Carroll. Their work appears in journals such as Blood, Nature Communications, The Journal of Experimental Medicine, Science Advances and Genes & Development.
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.