Michael L. Cleary
Impact in
- Hematology top 0.05%
- Acute Myeloid Leukemia Research
- Genetics top 0.1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 74
- Acute Myeloid Leukemia Research 59
- Genetics 31
- Chronic Lymphocytic Leukemia Research 26
- Co-authors
- Jeffrey SklarPaul M. AytonRoger A. WarnkeStephen D. SmithTim C. P. SomervailleAkihiko YokoyamaDouglas TkachukJamison L. Nourse
- Journals
- Blood (29 papers)Molecular and Cellular Biology (25 papers)Cell (11 papers)Cancer Cell (10 papers)New England Journal of Medicine (7 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Michael L. Cleary
204 papers receiving 22.7k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Hematology 5.6k
- Genetics 2.9k
- Molecular Biology 15.3k
- Pathology and Forensic Medicine 3.3k
- Oncology 4.3k
Countries citing papers authored by Michael L. Cleary
This map shows the geographic impact of Michael L. Cleary'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. Cleary 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. Cleary more than expected).
Fields of papers citing papers by Michael L. Cleary
This network shows the impact of papers produced by Michael L. Cleary. 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. Cleary. The network helps show where Michael L. Cleary may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael L. Cleary, 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 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2018 | 12 | |
| 5 | 2016 | 112 | |
| 6 | 2016 | 27 | |
| 7 | 2015 | 89 | |
| 8 | 2010 | 34 | |
| 9 | 2008 | 400 | |
| 10 | 2000 | 96 | |
| 11 | 1999 | 271 | |
| 12 | 1998 | 197 | |
| 13 | 1997 | 50 | |
| 14 | 1997 | 42 | |
| 15 | 1997 | 26 | |
| 16 | 1996 | 13 | |
| 17 | 1993 | 170 | |
| 18 | Structure, chromosome mapping, and expression of the mouse Lyl-1 gene. | 1991 | 37 |
| 19 | 1990 | 11 | |
| 20 | 1985 | 80 |
About Michael L. Cleary
Michael L. Cleary is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 206 papers that have together received 23.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (59 papers), Genomics and Chromatin Dynamics (34 papers), Acute Lymphoblastic Leukemia research (31 papers), Cancer-related gene regulation (30 papers), Protein Degradation and Inhibitors (29 papers), Chronic Lymphocytic Leukemia Research (26 papers), Epigenetics and DNA Methylation (25 papers) and Lymphoma Diagnosis and Treatment (19 papers). The work is most often cited by research in Hematology (5.6k citations), Genetics (2.9k citations), Molecular Biology (15.3k citations), Pathology and Forensic Medicine (3.3k citations) and Oncology (4.3k citations). Michael L. Cleary has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jeffrey Sklar, Paul M. Ayton, Roger A. Warnke, Stephen D. Smith, Tim C. P. Somervaille, Akihiko Yokoyama, Douglas Tkachuk, Jamison L. Nourse, Naomi Galili and Sabine Köhler. Their work appears in journals such as Blood, Molecular and Cellular Biology, Cell, Cancer Cell and New England Journal of Medicine.
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.