Robert L. Flower
Impact in
- Hematology top 1%
- Blood groups and transfusion
- Virology top 5%
- HIV Research and Treatment
Papers in
- Hematology 86
- Blood groups and transfusion 77
- Physiology 65
- Erythrocyte Function and Pathophysiology 64
- Co-authors
- Catherine A. HylandMichael W. HeuzenroederHelen M. FaddySusan J. SempleGeoffrey D. ReynoldsIngrid G. WinklerMartin LöcheltGreg Hodge
- Journals
- Transfusion (35 papers)Vox Sanguinis (13 papers)Pathology (10 papers)Journal of Immunological Methods (4 papers)British Journal of Haematology (3 papers)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Robert L. Flower
175 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 143
- Hematology 757
- Virology 205
- Endocrinology 200
- Immunology 583
- Infectious Diseases 472
Countries citing papers authored by Robert L. Flower
This map shows the geographic impact of Robert L. Flower'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 Robert L. Flower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert L. Flower more than expected).
Fields of papers citing papers by Robert L. Flower
This network shows the impact of papers produced by Robert L. Flower. 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 Robert L. Flower. The network helps show where Robert L. Flower may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert L. Flower, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 1 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 40 | |
| 14 | Non-invasive prenatal testing for sub-saharan Africa: Tailoring approaches for foetal RHD genotyping in RHD-negative pregnant women to manage African-associated RHD Alleles | 2017 | 1 |
| 15 | 2017 | 4 | |
| 16 | 2017 | 0 | |
| 17 | A coupled SPH-DEM approach to model the interactions between multiple red blood cells in motion in capillaries | 2016 | 14 |
| 18 | 2015 | 15 | |
| 19 | 2015 | 4 | |
| 20 | 2011 | 1 |
About Robert L. Flower
Robert L. Flower is a scholar working on Hematology, Physiology, Biochemistry, Infectious Diseases and Genetics, having authored 182 papers that have together received 2.8k indexed citations. Recurring topics across this work include Blood groups and transfusion (77 papers), Erythrocyte Function and Pathophysiology (64 papers), Parvovirus B19 Infection Studies (18 papers), Blood disorders and treatments (17 papers), Hemoglobinopathies and Related Disorders (16 papers), Mosquito-borne diseases and control (14 papers), Blood transfusion and management (13 papers) and Viral Infections and Vectors (13 papers). The work is most often cited by research in Hematology (757 citations), Virology (205 citations), Endocrinology (200 citations), Immunology (583 citations) and Infectious Diseases (472 citations). Robert L. Flower has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Catherine A. Hyland, Michael W. Heuzenroeder, Helen M. Faddy, Susan J. Semple, Geoffrey D. Reynolds, Ingrid G. Winkler, Martin Löchelt, Greg Hodge, G.E. Wilcox and Simon M. Pyke. Their work appears in journals such as Transfusion, Vox Sanguinis, Pathology, Journal of Immunological Methods and British Journal of Haematology.
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.