Michael L. Mucenski
- Hematology top 1%
- Acute Myeloid Leukemia Research 5
- Immunology top 2%
- Molecular Biology top 2%
- Cancer-related gene regulation 6
- Epigenetics and DNA Methylation 4
- Fibroblast Growth Factor Research 3
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications 5
- Genetics top 2%
- Virus-based gene therapy research 3
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- Cancer Mechanisms and Therapy 6
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- Neonatal Respiratory Health Research 5
- Co-authors
- S. Steven PotterClaire M. SchreinerJeffrey A. WhitsettNeal G. CopelandJames N. IhleAnn B. KierWilliam J. ScottThomas Miller
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Michael L. Mucenski
47 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Hematology 767
- Immunology 1.3k
- Molecular Biology 3.0k
- Cell Biology 658
- Genetics 830
Countries citing papers authored by Michael L. Mucenski
This map shows the geographic impact of Michael L. Mucenski'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 L. Mucenski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael L. Mucenski more than expected).
Fields of papers citing papers by Michael L. Mucenski
This network shows the impact of papers produced by Michael L. Mucenski. 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 L. Mucenski. The network helps show where Michael L. Mucenski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael L. Mucenski, 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 | 2019 | 41 | |
| 2 | 2012 | 122 | |
| 3 | 2008 | 57 | |
| 4 | 2005 | 295 | |
| 5 | 2003 | 15 | |
| 6 | 2003 | 40 | |
| 7 | 2000 | 86 | |
| 8 | 1999 | 43 | |
| 9 | 1999 | 12 | |
| 10 | 1999 | 50 | |
| 11 | 1997 | 39 | |
| 12 | 1997 | 17 | |
| 13 | 1997 | 34 | |
| 14 | 1996 | 15 | |
| 15 | 1996 | 39 | |
| 16 | 1992 | 38 | |
| 17 | A functional c-myb gene is required for normal murine fetal hepatic hematopoiesisbreakdown → | 1991 | 894 |
| 18 | 1988 | 51 | |
| 19 | 1988 | 362 | |
| 20 | 1988 | 55 |
About Michael L. Mucenski
Michael L. Mucenski is a scholar working on Hematology, Cell Biology and Genetics, having authored 47 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cancer-related gene regulation (6 papers), Cancer Mechanisms and Therapy (6 papers), Zebrafish Biomedical Research Applications (5 papers), Acute Myeloid Leukemia Research (5 papers), Neonatal Respiratory Health Research (5 papers), Epigenetics and DNA Methylation (4 papers), Virus-based gene therapy research (3 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Hematology (767 citations), Immunology (1.3k citations) and Molecular Biology (3.0k citations). Michael L. Mucenski has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include S. Steven Potter, Claire M. Schreiner, Jeffrey A. Whitsett, Neal G. Copeland, James N. Ihle, Ann B. Kier, William J. Scott, Thomas Miller, Daniel Pietryga and Steven H. Swerdlow. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.