Gayle Teramura
- Hematology top 5%
- Blood groups and transfusion 15
- Platelet Disorders and Treatments 9
- Blood Coagulation and Thrombosis Mechanisms 3
- Genetics top 10%
- Hemoglobinopathies and Related Disorders 5
- Blood disorders and treatments 2
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- Erythrocyte Function and Pathophysiology 6
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- Blood properties and coagulation 3
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- Immunodeficiency and Autoimmune Disorders 2
- Co-authors
- Alexander P. ReinerLakshmi K. GaurMeghan DelaneySamantha HarrisJill M. JohnsenBruce M. PsatyStephen M. SchwartzS. J. Slichter
- Partner nations
- United StatesUgandaSouth Africa
In The Last Decade
Gayle Teramura
24 papers receiving 381 citations
Peers
Comparison fields: 5 of 46
- Hematology 326
- Genetics 115
- Critical Care and Intensive Care Medicine 22
- Physiology 110
- Biochemistry 24
Countries citing papers authored by Gayle Teramura
This map shows the geographic impact of Gayle Teramura'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 Gayle Teramura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gayle Teramura more than expected).
Fields of papers citing papers by Gayle Teramura
This network shows the impact of papers produced by Gayle Teramura. 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 Gayle Teramura. The network helps show where Gayle Teramura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gayle Teramura, 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 | 2023 | 8 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 3 | |
| 4 | 2018 | 3 | |
| 5 | 2018 | 29 | |
| 6 | 2018 | 38 | |
| 7 | 2015 | 38 | |
| 8 | 2014 | 46 | |
| 9 | 2011 | 50 | |
| 10 | 2003 | 5 | |
| 11 | 2002 | 39 | |
| 12 | 2001 | 37 | |
| 13 | 1999 | 4 | |
| 14 | Analysis of platelet glycoprotein Ia (alpha2 integrin) allele frequencies in three North American populations reveals genetic association between nucleotide 807C/T and amino acid 505 Glu/Lys (HPA-5) dimorphisms. | 1998 | 32 |
| 15 | 1998 | 24 | |
| 16 | 1997 | 2 | |
| 17 | 1996 | 14 | |
| 18 | 1995 | 3 | |
| 19 | Structure and biological functions of human IgD. XIV. The development of a solid-phase radioimmunoassay for the quantitation of IgD in human sera and secretions. | 1977 | 3 |
| 20 | 1977 | 3 |
About Gayle Teramura
Gayle Teramura is a scholar working on Hematology, Genetics and Immunology and Allergy, having authored 24 papers that have together received 396 indexed citations. Recurring topics across this work include Blood groups and transfusion (15 papers), Platelet Disorders and Treatments (9 papers), Erythrocyte Function and Pathophysiology (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Blood properties and coagulation (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Blood disorders and treatments (2 papers). The work is most often cited by research in Hematology (326 citations), Genetics (115 citations) and Critical Care and Intensive Care Medicine (22 citations). Gayle Teramura has collaborated with scholars based in United States, Uganda and South Africa. Frequent co-authors include Alexander P. Reiner, Lakshmi K. Gaur, Meghan Delaney, Samantha Harris, Jill M. Johnsen, Bruce M. Psaty, Stephen M. Schwartz, S. J. Slichter, Karen Nelson and Barbara A. Konkle. Their work appears in journals such as Blood, PLoS ONE and Stroke.
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.