M Brice
- Hematology top 1%
- Blood groups and transfusion 7
- Acute Myeloid Leukemia Research 4
- Genetics top 1%
- Hemoglobinopathies and Related Disorders 18
- Physiology top 5%
- Erythrocyte Function and Pathophysiology 18
- Molecular Biology top 10%
- CRISPR and Genetic Engineering 6
- RNA modifications and cancer 4
- Pluripotent Stem Cells Research 3
- Immunology top 10%
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- Prenatal Screening and Diagnostics 4
- Co-authors
- Thalia PapayannopoulouT PapayannopoulouG. StamatoyannopoulosVC BroudyTariq EnverB NakamotoWilliam C. ForresterMark Groudine
- Cited by
- HematologyGeneticsPhysiology
- Partner nations
- United StatesIndiaGermany
In The Last Decade
M Brice
35 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 75
- Hematology 840
- Genetics 753
- Physiology 615
- Molecular Biology 1.0k
- Immunology 268
Countries citing papers authored by M Brice
This map shows the geographic impact of M Brice'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 M Brice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Brice more than expected).
Fields of papers citing papers by M Brice
This network shows the impact of papers produced by M Brice. 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 M Brice. The network helps show where M Brice may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M Brice, 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 | 1993 | 9 | |
| 2 | 1992 | 77 | |
| 3 | 1991 | 25 | |
| 4 | 1991 | 13 | |
| 5 | 1990 | 33 | |
| 6 | Globin gene switching: insights from studies in somatic heterospecific hybrids and in transgenic mice. | 1990 | 1 |
| 7 | 1990 | 393 | |
| 8 | 1990 | 2 | |
| 9 | Synkaryons: surrogate erythroid cells for the analysis of human globin gene switching. | 1989 | 1 |
| 10 | 1986 | 74 | |
| 11 | 1984 | 34 | |
| 12 | 1984 | 12 | |
| 13 | 1983 | 58 | |
| 14 | 1981 | 20 | |
| 15 | 1981 | 32 | |
| 16 | 1979 | 54 | |
| 17 | 1976 | 107 | |
| 18 | 1974 | 7 | |
| 19 | 1974 | 10 | |
| 20 | 1974 | 1 |
About M Brice
M Brice is a scholar working on Genetics, Hematology, Physiology, Pediatrics, Perinatology and Child Health and Genetics, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (18 papers), Hemoglobinopathies and Related Disorders (18 papers), Blood groups and transfusion (7 papers), CRISPR and Genetic Engineering (6 papers), Acute Myeloid Leukemia Research (4 papers), Prenatal Screening and Diagnostics (4 papers), RNA modifications and cancer (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Hematology (840 citations), Genetics (753 citations), Physiology (615 citations), Molecular Biology (1.0k citations) and Immunology (268 citations). M Brice has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Thalia Papayannopoulou, T Papayannopoulou, T Papayannopoulou, G. Stamatoyannopoulos, VC Broudy, Tariq Enver, B Nakamoto, William C. Forrester, Mark Groudine and Monica Driscoll. Their work appears in journals such as Blood, Developmental Biology, Experimental Cell Research, Proceedings of the National Academy of Sciences and Genes & Development.
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.