Mary E. Fabry
- Genetics top 0.2%
- Hemoglobinopathies and Related Disorders 61
- Virus-based gene therapy research 9
- Hematology top 0.5%
- Iron Metabolism and Disorders 13
- Blood groups and transfusion 9
- Physiology top 2%
- Erythrocyte Function and Pathophysiology 32
-
- Neonatal Health and Biochemistry 14
- Genetics top 5%
- Hemoglobinopathies and Related Disorders 61
- Virus-based gene therapy research 9
-
- Hemoglobin structure and function 15
-
- CRISPR and Genetic Engineering 9
- Co-authors
- Ronald L. NagelDhananjay K. KaulSandra M. SuzukaDhananjaya K. KaulRichard C. San GeorgeEric E. BouhassiraPhilippe LeboulchR. Keith Humphries
- Cited by
- GeneticsHematologyPhysiology
- Journals
- Blood (23 papers)American Journal of Hematology (6 papers)Journal of Clinical Investigation (5 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Mary E. Fabry
80 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 120
- Genetics 2.0k
- Hematology 1.4k
- Physiology 836
- Pediatrics, Perinatology and Child Health 482
- Genetics 563
Countries citing papers authored by Mary E. Fabry
This map shows the geographic impact of Mary E. Fabry'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 Mary E. Fabry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary E. Fabry more than expected).
Fields of papers citing papers by Mary E. Fabry
This network shows the impact of papers produced by Mary E. Fabry. 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 Mary E. Fabry. The network helps show where Mary E. Fabry may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mary E. Fabry, 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 | 2012 | 8 | |
| 2 | 2008 | 64 | |
| 3 | 2008 | 29 | |
| 4 | 2006 | 5 | |
| 5 | 2006 | 34 | |
| 6 | 2004 | 84 | |
| 7 | 2004 | 94 | |
| 8 | 2004 | 9 | |
| 9 | 2003 | 32 | |
| 10 | 2003 | 12 | |
| 11 | 2003 | 177 | |
| 12 | 2002 | 18 | |
| 13 | 2001 | 428 | |
| 14 | 1999 | 14 | |
| 15 | 1998 | 51 | |
| 16 | 1997 | 27 | |
| 17 | 1996 | 15 | |
| 18 | 1988 | 33 | |
| 19 | 1988 | 24 | |
| 20 | 1987 | 110 |
About Mary E. Fabry
Mary E. Fabry is a scholar working on Genetics, Hematology, Physiology, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 82 papers that have together received 3.5k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (61 papers), Erythrocyte Function and Pathophysiology (32 papers), Hemoglobin structure and function (15 papers), Neonatal Health and Biochemistry (14 papers), Iron Metabolism and Disorders (13 papers), Virus-based gene therapy research (9 papers), CRISPR and Genetic Engineering (9 papers) and Blood groups and transfusion (9 papers). The work is most often cited by research in Genetics (2.0k citations), Hematology (1.4k citations), Physiology (836 citations), Pediatrics, Perinatology and Child Health (482 citations) and Genetics (563 citations). Mary E. Fabry has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Ronald L. Nagel, Dhananjay K. Kaul, Sandra M. Suzuka, Dhananjaya K. Kaul, Richard C. San George, Eric E. Bouhassira, Philippe Leboulch, R. Keith Humphries, Connie J. Eaves and Martin H. Steinberg. Their work appears in journals such as Blood, American Journal of Hematology, Journal of Clinical Investigation, Blood Cells Molecules and Diseases and The Journal of Membrane Biology.
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.