Michael S. Boosalis
- Molecular Biology top 5%
- Genetics top 2%
- Infectious Diseases top 5%
- Hematology top 5%
- Genetics top 10%
- Co-authors
- Myron F. GoodmanJohn PetruskaSusan P. PerrineDouglas V. FallerL V MendelmanChaejoon CheongLawrence C. SowersI Tinoco
- Topics
- Hemoglobinopathies and Related Disorders (19 papers)Epigenetics and DNA Methylation (10 papers)Iron Metabolism and Disorders (7 papers)
- Cited by
- GeneticsMolecular BiologyVirology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesLebanonUnited Kingdom
In The Last Decade
Michael S. Boosalis
37 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.7k
- Genetics 376
- Infectious Diseases 248
- Hematology 243
- Genetics 243
Countries citing papers authored by Michael S. Boosalis
This map shows the geographic impact of Michael S. Boosalis'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 S. Boosalis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Boosalis more than expected).
Fields of papers citing papers by Michael S. Boosalis
This network shows the impact of papers produced by Michael S. Boosalis. 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 S. Boosalis. The network helps show where Michael S. Boosalis may publish in the future.
Co-authorship network of co-authors of Michael S. Boosalis
This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Boosalis. A scholar is included among the top collaborators of Michael S. Boosalis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael S. Boosalis. Michael S. Boosalis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 21 | |
| 3 | 26 | |
| 4 | 142 | |
| 5 | 15 | |
| 6 | 27 | |
| 7 | 26 | |
| 8 | 20 | |
| 9 | 23 | |
| 10 | 26 | |
| 11 | 2 | |
| 12 | 26 | |
| 13 | 34 | |
| 14 | 75 | |
| 15 | 29 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 133 | |
| 19 | 62 | |
| 20 | 99 |
About Michael S. Boosalis
Michael S. Boosalis is a scholar working on Genetics, Hematology and Molecular Biology, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (19 papers), Epigenetics and DNA Methylation (10 papers) and Iron Metabolism and Disorders (7 papers). The work is most often cited by research in Genetics (376 citations), Molecular Biology (1.7k citations) and Virology (107 citations). Michael S. Boosalis has collaborated with scholars based in United States, Lebanon and United Kingdom. Frequent co-authors include Myron F. Goodman, John Petruska, Susan P. Perrine, Douglas V. Faller, L V Mendelman, Chaejoon Cheong, Lawrence C. Sowers, I Tinoco, Leona D. Samson and Gary L. White. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.