Leon Su
- Hematology top 5%
- Blood groups and transfusion 5
- Platelet Disorders and Treatments 4
- Biochemistry top 5%
- Blood transfusion and management 6
- Genetics top 10%
- Hemoglobinopathies and Related Disorders 4
- Immunology top 10%
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- CAR-T cell therapy research 4
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- Machine Learning in Healthcare 3
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- Neonatal Health and Biochemistry 3
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- Trauma, Hemostasis, Coagulopathy, Resuscitation 3
- Co-authors
- Christopher D. HillyerCassandra D. JosephsonKrista L. HillyerMichael C. FishbeinC. Garrison FathmanJosef PenningerConnie M. KrawczykKurt Bachmaier
- Cited by
- HematologyBiochemistryGenetics
- Journals
- Transfusion (5 papers)Journal of Clinical Apheresis (4 papers)Biology of Blood and Marrow Transplantation (3 papers)
- Partner nations
- United StatesCanadaAustria
In The Last Decade
Leon Su
25 papers receiving 720 citations
Peers
Comparison fields: 5 of 77
- Hematology 240
- Biochemistry 92
- Genetics 147
- Immunology 243
- Management of Technology and Innovation 37
Countries citing papers authored by Leon Su
This map shows the geographic impact of Leon Su'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 Leon Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leon Su more than expected).
Fields of papers citing papers by Leon Su
This network shows the impact of papers produced by Leon Su. 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 Leon Su. The network helps show where Leon Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leon Su, 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 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 0 | |
| 9 | 2020 | 1 | |
| 10 | 2018 | 2 | |
| 11 | 2017 | 3 | |
| 12 | 2017 | 12 | |
| 13 | 2015 | 2 | |
| 14 | 2011 | 10 | |
| 15 | 2008 | 19 | |
| 16 | 2007 | 115 | |
| 17 | 2006 | 12 | |
| 18 | 2004 | 276 | |
| 19 | 2004 | 85 | |
| 20 | 2004 | 33 |
About Leon Su
Leon Su is a scholar working on Health Informatics, Biochemistry and Hematology, having authored 29 papers that have together received 738 indexed citations. Recurring topics across this work include Blood transfusion and management (6 papers), Blood groups and transfusion (5 papers), CAR-T cell therapy research (4 papers), Platelet Disorders and Treatments (4 papers), Hemoglobinopathies and Related Disorders (4 papers), Machine Learning in Healthcare (3 papers), Neonatal Health and Biochemistry (3 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers). The work is most often cited by research in Hematology (240 citations), Biochemistry (92 citations) and Genetics (147 citations). Leon Su has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Christopher D. Hillyer, Cassandra D. Josephson, Krista L. Hillyer, Michael C. Fishbein, C. Garrison Fathman, Josef Penninger, Connie M. Krawczyk, Kurt Bachmaier, Dennis Bouchard and Matthew A. Gronski. Their work appears in journals such as Transfusion, Journal of Clinical Apheresis, Biology of Blood and Marrow Transplantation, Immunity and Transfusion Medicine Reviews.
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.