Matthew M. Hsieh
- Genetics top 0.2%
- Hemoglobinopathies and Related Disorders 75
- Virus-based gene therapy research 27
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 29
- Acute Myeloid Leukemia Research 17
- Blood groups and transfusion 14
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- Prenatal Screening and Diagnostics 26
- Genetics top 2%
- Hemoglobinopathies and Related Disorders 75
- Virus-based gene therapy research 27
- Microbiology top 2%
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- Erythrocyte Function and Pathophysiology 15
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- RNA Interference and Gene Delivery 13
- Co-authors
- John F. TisdaleCourtney D. FitzhughGriffin P. RodgersNaoya UchidaJonathan D. PowellCharles D. BolanWynona ColesJames E. Everhart
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (2 papers)JAMA (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Matthew M. Hsieh
138 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 121
- Genetics 1.8k
- Hematology 1.4k
- Pediatrics, Perinatology and Child Health 884
- Genetics 879
- Microbiology 192
Countries citing papers authored by Matthew M. Hsieh
This map shows the geographic impact of Matthew M. Hsieh'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 Matthew M. Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew M. Hsieh more than expected).
Fields of papers citing papers by Matthew M. Hsieh
This network shows the impact of papers produced by Matthew M. Hsieh. 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 Matthew M. Hsieh. The network helps show where Matthew M. Hsieh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew M. Hsieh, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 22 | |
| 7 | 2022 | 13 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 12 | |
| 10 | 2019 | 7 | |
| 11 | 2018 | 14 | |
| 12 | 2018 | 11 | |
| 13 | 2017 | 22 | |
| 14 | 2015 | 5 | |
| 15 | 2013 | 17 | |
| 16 | 2013 | 64 | |
| 17 | 2009 | 3 | |
| 18 | 2009 | 25 | |
| 19 | 2009 | 105 | |
| 20 | Adherence to inhaled corticosteroid use and local adverse events in persistent asthma. | 2008 | 44 |
About Matthew M. Hsieh
Matthew M. Hsieh is a scholar working on Genetics, Hematology and Pediatrics, Perinatology and Child Health, having authored 143 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (75 papers), Hematopoietic Stem Cell Transplantation (29 papers), Virus-based gene therapy research (27 papers), Prenatal Screening and Diagnostics (26 papers), Acute Myeloid Leukemia Research (17 papers), Erythrocyte Function and Pathophysiology (15 papers), Blood groups and transfusion (14 papers) and RNA Interference and Gene Delivery (13 papers). The work is most often cited by research in Genetics (1.8k citations), Hematology (1.4k citations) and Pediatrics, Perinatology and Child Health (884 citations). Matthew M. Hsieh has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include John F. Tisdale, Courtney D. Fitzhugh, Griffin P. Rodgers, Naoya Uchida, Jonathan D. Powell, Charles D. Bolan, Wynona Coles, James E. Everhart, Danita D. Byrd-Holt and Elizabeth M. Kang. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.
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.