Matthew D. Witkin
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
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- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
- TGF-β signaling in diseases
Papers in
-
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 3
- Protein Degradation and Inhibitors 2
- Histone Deacetylase Inhibitors Research 2
- Cancer-related gene regulation 2
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- Acute Myeloid Leukemia Research 3
- Co-authors
- Scott A. Armstrong (6 shared papers)Andrei V. Krivtsov (5 shared papers)Sheng F. Cai (2 shared papers)Ross L. Levine (2 shared papers)Richard P. Koche (3 shared papers)Bo Zhou (1 shared paper)Zhenhua Zou (1 shared paper)Won-Il Kim (1 shared paper)
- Journals
- Blood (2 papers)Clinical Cancer Research (1 paper)Cell stem cell (1 paper)Cancer Discovery (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Matthew D. Witkin
9 papers receiving 372 citations
Peers
Comparison fields: 5 of 54
- Hematology 106
- Molecular Biology 278
- Oncology 78
- Cancer Research 36
- Immunology 44
Countries citing papers authored by Matthew D. Witkin
This map shows the geographic impact of Matthew D. Witkin'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 D. Witkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Witkin more than expected).
Fields of papers citing papers by Matthew D. Witkin
This network shows the impact of papers produced by Matthew D. Witkin. 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 D. Witkin. The network helps show where Matthew D. Witkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew D. Witkin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 87 | |
| 2 | 2018 | 82 | |
| 3 | 2018 | 67 | |
| 4 | 2015 | 61 | |
| 5 | 2019 | 50 | |
| 6 | 2020 | 25 | |
| 7 | 2015 | 2 | |
| 8 | 2018 | 1 | |
| 9 | 2016 | 1 |
About Matthew D. Witkin
Matthew D. Witkin is a scholar working on Molecular Biology, Hematology, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 9 papers that have together received 376 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (3 papers), Protein Degradation and Inhibitors (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Cancer-related gene regulation (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Hematology (106 citations), Molecular Biology (278 citations), Oncology (78 citations), Cancer Research (36 citations) and Immunology (44 citations). Matthew D. Witkin has collaborated with scholars based in United States and Germany. Frequent co-authors include Scott A. Armstrong, Andrei V. Krivtsov, Sheng F. Cai, Ross L. Levine, Richard P. Koche, Bo Zhou, Zhenhua Zou, Won-Il Kim, Alan Chramiec and Gregory R. Dressler. Their work appears in journals such as Blood, Clinical Cancer Research, Cell stem cell, Cancer Discovery and 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.