Michael L. Bloom
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
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- Virus-based gene therapy research
- Hemoglobinopathies and Related Disorders
Papers in
-
- RNA modifications and cancer 2
-
- Hematopoietic Stem Cell Transplantation 4
- Blood groups and transfusion 2
- Co-authors
- Jane E. Barker (4 shared papers)Karen L. Simon-Stoos (4 shared papers)Warren E. Zimmer (4 shared papers)Steven R. Goodman (4 shared papers)Ian S. Zagon (2 shared papers)Neal S. Young (1 shared paper)Jichun Chen (1 shared paper)Connie S. Birkenmeier (3 shared papers)
- Journals
- Blood (5 papers)Mammalian Genome (3 papers)Proceedings of the National Academy of Sciences (2 papers)Experimental Hematology (2 papers)Human Gene Therapy (1 paper)
- Partner nations
- United StatesThailandGermany
In The Last Decade
Michael L. Bloom
18 papers receiving 466 citations
Peers
Comparison fields: 5 of 59
- Hematology 126
- Genetics 69
- Physiology 137
- Immunology 95
- Cell Biology 65
Countries citing papers authored by Michael L. Bloom
This map shows the geographic impact of Michael L. Bloom'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. Bloom 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. Bloom more than expected).
Fields of papers citing papers by Michael L. Bloom
This network shows the impact of papers produced by Michael L. Bloom. 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. Bloom. The network helps show where Michael L. Bloom may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael L. Bloom, 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 | 1995 | 107 | |
| 2 | 2004 | 86 | |
| 3 | 1999 | 59 | |
| 4 | 1999 | 49 | |
| 5 | 1994 | 30 | |
| 6 | 1994 | 28 | |
| 7 | 1992 | 28 | |
| 8 | 1985 | 19 | |
| 9 | 1998 | 15 | |
| 10 | 1997 | 12 | |
| 11 | 1997 | 10 | |
| 12 | 1992 | 8 | |
| 13 | 1998 | 7 | |
| 14 | 1999 | 5 | |
| 15 | 1994 | 3 | |
| 16 | 1999 | 3 | |
| 17 | 1999 | 2 | |
| 18 | 1997 | 1 |
About Michael L. Bloom
Michael L. Bloom is a scholar working on Molecular Biology, Hematology, Physiology, Genetics and Genetics, having authored 18 papers that have together received 472 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (7 papers), Hemoglobinopathies and Related Disorders (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Immune Cell Function and Interaction (4 papers), Virus-based gene therapy research (2 papers), T-cell and B-cell Immunology (2 papers), Blood groups and transfusion (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Hematology (126 citations), Genetics (69 citations), Physiology (137 citations), Immunology (95 citations) and Cell Biology (65 citations). Michael L. Bloom has collaborated with scholars based in United States, Thailand and Germany. Frequent co-authors include Jane E. Barker, Karen L. Simon-Stoos, Warren E. Zimmer, Steven R. Goodman, Ian S. Zagon, Neal S. Young, Jichun Chen, Connie S. Birkenmeier, Shoichi Nagakura and Maria Berg. Their work appears in journals such as Blood, Mammalian Genome, Proceedings of the National Academy of Sciences, Experimental Hematology and Human Gene Therapy.
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.