ME Fabry
Impact in
- Genetics top 0.5%
- Hemoglobinopathies and Related Disorders
- Hematology top 1%
- Iron Metabolism and Disorders
- Blood groups and transfusion
Papers in
- Genetics 34
- Hemoglobinopathies and Related Disorders 34
- Hematology 22
- Blood groups and transfusion 14
- Iron Metabolism and Disorders 12
- Co-authors
- RL Nagel (26 shared papers)R L Nagel (3 shared papers)Dhananjay K. Kaul (2 shared papers)Mitzy Canessa (5 shared papers)DK Kaul (2 shared papers)G. Stamatoyannopoulos (4 shared papers)Sandra M. Suzuka (2 shared papers)F Costantini (1 shared paper)
- Journals
- Blood (28 papers)Proceedings of the National Academy of Sciences (2 papers)Investigative Ophthalmology & Visual Science (1 paper)Journal of Clinical Investigation (1 paper)PubMed (7 papers)
- Partner nations
- United StatesVietnamFrance
In The Last Decade
ME Fabry
39 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 74
- Genetics 1.2k
- Hematology 733
- Physiology 687
- Pediatrics, Perinatology and Child Health 174
- Cell Biology 141
Countries citing papers authored by ME Fabry
This map shows the geographic impact of ME 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 ME Fabry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ME Fabry more than expected).
Fields of papers citing papers by ME Fabry
This network shows the impact of papers produced by ME 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 ME Fabry. The network helps show where ME Fabry may publish in the future.
Co-authors
The 25 scholars most cited alongside ME 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
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 281 | |
| 2 | 1984 | 102 | |
| 3 | 1987 | 97 | |
| 4 | 1992 | 96 | |
| 5 | 1986 | 96 | |
| 6 | 1984 | 79 | |
| 7 | 1987 | 70 | |
| 8 | 1993 | 63 | |
| 9 | 1991 | 63 | |
| 10 | 1993 | 62 | |
| 11 | 1982 | 52 | |
| 12 | 1982 | 52 | |
| 13 | 1992 | 49 | |
| 14 | 1991 | 48 | |
| 15 | 1991 | 46 | |
| 16 | 1993 | 39 | |
| 17 | 1991 | 32 | |
| 18 | 1996 | 29 | |
| 19 | 1996 | 24 | |
| 20 | 1995 | 24 |
About ME Fabry
ME Fabry is a scholar working on Genetics, Hematology, Physiology, Molecular Biology and Orthopedics and Sports Medicine, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (34 papers), Erythrocyte Function and Pathophysiology (16 papers), Blood groups and transfusion (14 papers), Iron Metabolism and Disorders (12 papers), Bone and Joint Diseases (4 papers), Blood properties and coagulation (3 papers), Neonatal Health and Biochemistry (3 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Genetics (1.2k citations), Hematology (733 citations), Physiology (687 citations), Pediatrics, Perinatology and Child Health (174 citations) and Cell Biology (141 citations). ME Fabry has collaborated with scholars based in United States, Vietnam and France. Frequent co-authors include RL Nagel, R L Nagel, Dhananjay K. Kaul, Mitzy Canessa, DK Kaul, G. Stamatoyannopoulos, Sandra M. Suzuka, F Costantini, JG Mears and C. Lawrence. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Investigative Ophthalmology & Visual Science, Journal of Clinical Investigation and PubMed.
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.