SA Brown
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Hemophilia Treatment and Research
- Platelet Disorders and Treatments
- Blood Coagulation and Thrombosis Mechanisms
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- Hemophilia Treatment and Research 2
- Blood Coagulation and Thrombosis Mechanisms 2
- Platelet Disorders and Treatments 2
- Hematopoietic Stem Cell Transplantation 2
- Blood groups and transfusion 1
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- T-cell and B-cell Immunology 2
- Co-authors
- J. S. Thompson (2 shared papers)MB Widmer (2 shared papers)Michael Richards (1 shared paper)D. Stirling (1 shared paper)Angela Thomas (1 shared paper)David Young (1 shared paper)Elizabeth Chalmers (1 shared paper)David Keeling (1 shared paper)
- Journals
- Blood (2 papers)Haemophilia (1 paper)UCL Discovery (University College London) (1 paper)Queen Mary Research Online (Queen Mary University of London) (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
SA Brown
5 papers receiving 422 citations
Peers
Comparison fields: 5 of 47
- Hematology 333
- Immunology 168
- Transplantation 13
- Genetics 50
- Oncology 44
Countries citing papers authored by SA Brown
This map shows the geographic impact of SA Brown'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 SA Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SA Brown more than expected).
Fields of papers citing papers by SA Brown
This network shows the impact of papers produced by SA Brown. 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 SA Brown. The network helps show where SA Brown may publish in the future.
Co-authors
The 21 scholars most cited alongside SA Brown, 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 | 1994 | 282 | |
| 2 | 2007 | 128 | |
| 3 | 1994 | 21 | |
| 4 | Investigation of relationship of von Willebrand factor antigen clearance with ADAMTS-13 activity and Tyr1584Cys polymorphism in type 1 von Willebrand disease | 2005 | 1 |
| 5 | Long-Term Safety and Efficacy of Recombinant Factor VIII FC (RFVIIIFC) in Adults and Adolescents With Severe Haemophilia A: An Interim Analysis of The ASPIRE Study | 2015 | 1 |
About SA Brown
SA Brown is a scholar working on Hematology, Immunology, Surgery, Molecular Biology and Infectious Diseases, having authored 5 papers that have together received 433 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), T-cell and B-cell Immunology (2 papers), Platelet Disorders and Treatments (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Xenotransplantation and immune response (1 paper), Cancer-related gene regulation (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Hematology (333 citations), Immunology (168 citations), Transplantation (13 citations), Genetics (50 citations) and Oncology (44 citations). SA Brown has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include J. S. Thompson, MB Widmer, Michael Richards, D. Stirling, Angela Thomas, David Young, Elizabeth Chalmers, David Keeling, Ri Liesner and M.D. Williams. Their work appears in journals such as Blood, Haemophilia, UCL Discovery (University College London) and Queen Mary Research Online (Queen Mary University of London).
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.