Matthew T. Witkowski
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
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- CAR-T cell therapy research
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 12
- Chronic Myeloid Leukemia Treatments 4
- Hematopoietic Stem Cell Transplantation 3
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- RNA Research and Splicing 3
- Single-cell and spatial transcriptomics 2
- Co-authors
- Iannis Aifantis (14 shared papers)Weiqiang Chen (4 shared papers)Stavroula Kousteni (1 shared paper)Charles G. Mullighan (5 shared papers)Chao Ma (3 shared papers)William L. Carroll (3 shared papers)Audrey Lasry (1 shared paper)Aristotelis Tsirigos (4 shared papers)
- Journals
- Blood (8 papers)Nature Communications (2 papers)Genes & Development (2 papers)Science Advances (2 papers)Cell stem cell (1 paper)
- Partner nations
- United StatesAustraliaAustria
In The Last Decade
Matthew T. Witkowski
25 papers receiving 510 citations
Peers
Comparison fields: 5 of 64
- Hematology 135
- Oncology 140
- Immunology 98
- Cancer Research 56
- Genetics 34
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 | 72 | |
| 2 | 2014 | 65 | |
| 3 | 2021 | 48 | |
| 4 | 2023 | 43 | |
| 5 | 2016 | 40 | |
| 6 | 2021 | 38 | |
| 7 | 2019 | 37 | |
| 8 | 2019 | 36 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 24 | |
| 11 | 2015 | 24 | |
| 12 | 2022 | 18 | |
| 13 | 2023 | 11 | |
| 14 | 2025 | 8 | |
| 15 | 2019 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 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 513 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Acute Lymphoblastic Leukemia research (10 papers), CAR-T cell therapy research (9 papers), Chronic Myeloid Leukemia Treatments (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), RNA Research and Splicing (3 papers), Single-cell and spatial transcriptomics (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (135 citations), Oncology (140 citations), Immunology (98 citations), Cancer Research (56 citations) and Genetics (34 citations). Matthew T. Witkowski has collaborated with scholars based in United States, Australia and Austria. Frequent co-authors include Iannis Aifantis, Weiqiang Chen, Stavroula Kousteni, Charles G. Mullighan, Chao Ma, William L. Carroll, Audrey Lasry, Aristotelis Tsirigos, Palaniraja Thandapani and Eric Wang. Their work appears in journals such as Blood, Nature Communications, Genes & Development, Science Advances and Cell stem cell.
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.