Michael Pranpat
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Molecular Biology top 10%
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- Heat shock proteins research
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
-
- Acute Myeloid Leukemia Research 2
- Chronic Myeloid Leukemia Treatments 2
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- Histone Deacetylase Inhibitors Research 6
- Ubiquitin and proteasome pathways 3
- Heat shock proteins research 2
- Epigenetics and DNA Methylation 2
- Biochemical and Molecular Research 1
- Co-authors
- Maria E. Balasis (10 shared papers)Warren C. Fiskus (10 shared papers)Kapil N. Bhalla (10 shared papers)Kathy Rocha (9 shared papers)Purva Bali (9 shared papers)Sandhya Kumaraswamy (8 shared papers)Sandhya Boyapalle (7 shared papers)Peter Wisdom Atadja (4 shared papers)
- Journals
- Blood (5 papers)Clinical Cancer Research (2 papers)Journal of Biological Chemistry (1 paper)Molecular Cancer Therapeutics (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Michael Pranpat
9 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 68
- Hematology 246
- Molecular Biology 1.1k
- Genetics 106
- Oncology 224
- Cell Biology 108
Countries citing papers authored by Michael Pranpat
This map shows the geographic impact of Michael Pranpat'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 Pranpat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pranpat more than expected).
Fields of papers citing papers by Michael Pranpat
This network shows the impact of papers produced by Michael Pranpat. 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 Pranpat. The network helps show where Michael Pranpat may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Pranpat, 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 | 2005 | 672 | |
| 2 | 2005 | 192 | |
| 3 | 2005 | 165 | |
| 4 | 2006 | 125 | |
| 5 | 2006 | 102 | |
| 6 | 2006 | 86 | |
| 7 | 2005 | 1 | |
| 8 | 2005 | 1 | |
| 9 | 2005 | 1 | |
| 10 | 2005 | 1 |
About Michael Pranpat
Michael Pranpat is a scholar working on Hematology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Immunology, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (6 papers), Ubiquitin and proteasome pathways (3 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Heat shock proteins research (2 papers), Epigenetics and DNA Methylation (2 papers), Lymphoma Diagnosis and Treatment (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Hematology (246 citations), Molecular Biology (1.1k citations), Genetics (106 citations), Oncology (224 citations) and Cell Biology (108 citations). Michael Pranpat has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Maria E. Balasis, Warren C. Fiskus, Kapil N. Bhalla, Kathy Rocha, Purva Bali, Sandhya Kumaraswamy, Sandhya Boyapalle, Peter Wisdom Atadja, Fei Guo and Edward Seto. Their work appears in journals such as Blood, Clinical Cancer Research, Journal of Biological Chemistry, Molecular Cancer Therapeutics 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.