Robert L. Flower
Impact in
- Hematology top 1%
- Blood groups and transfusion
- Virology top 5%
- HIV Research and Treatment
Papers in
- Hematology 76
- Blood groups and transfusion 68
- Physiology 37
- Erythrocyte Function and Pathophysiology 36
- Co-authors
- Catherine A. Hyland (63 shared papers)Michael W. Heuzenroeder (4 shared papers)Helen M. Faddy (37 shared papers)Susan J. Semple (3 shared papers)Geoffrey D. Reynolds (3 shared papers)Ingrid G. Winkler (6 shared papers)Martin Löchelt (5 shared papers)Greg Hodge (7 shared papers)
- Journals
- Transfusion (35 papers)Vox Sanguinis (12 papers)Pathology (10 papers)Journal of Immunological Methods (4 papers)Journal of Interferon & Cytokine Research (3 papers)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Robert L. Flower
176 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 138
- Hematology 700
- Virology 191
- Endocrinology 168
- Immunology 530
- Infectious Diseases 342
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-authors
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
Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 119 | |
| 2 | 1998 | 116 | |
| 3 | 2001 | 116 | |
| 4 | 1998 | 99 | |
| 5 | 1997 | 80 | |
| 6 | 1999 | 76 | |
| 7 | 2014 | 76 | |
| 8 | 2017 | 58 | |
| 9 | 2019 | 57 | |
| 10 | 1998 | 52 | |
| 11 | 1999 | 52 | |
| 12 | 1999 | 50 | |
| 13 | 2013 | 43 | |
| 14 | 2009 | 42 | |
| 15 | 2000 | 42 | |
| 16 | 2018 | 41 | |
| 17 | 2011 | 40 | |
| 18 | 2017 | 40 | |
| 19 | 1999 | 38 | |
| 20 | 2004 | 38 |
About Robert L. Flower
Robert L. Flower is a scholar working on Hematology, Physiology, Genetics, Immunology and Epidemiology, having authored 183 papers that have together received 2.8k indexed citations. Recurring topics across this work include Blood groups and transfusion (68 papers), Erythrocyte Function and Pathophysiology (36 papers), Virus-based gene therapy research (12 papers), Virology and Viral Diseases (12 papers), Mosquito-borne diseases and control (12 papers), Parvovirus B19 Infection Studies (11 papers), Blood disorders and treatments (11 papers) and Blood transfusion and management (11 papers). The work is most often cited by research in Hematology (700 citations), Virology (191 citations), Endocrinology (168 citations), Immunology (530 citations) and Infectious Diseases (342 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 Journal of Interferon & Cytokine Research.
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.