Wayne K. Greene
Impact in
- Immunology and Allergy top 5%
- Allergic Rhinitis and Sensitization
- Food Allergy and Anaphylaxis Research
- Virology top 5%
- HIV Research and Treatment
Papers in
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- Cancer-related gene regulation 9
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- T-cell and Retrovirus Studies 5
- Co-authors
- Keith R. Oliver (4 shared papers)Wayne R. Thomas (4 shared papers)J. McComb (1 shared paper)Ursula R. Kees (14 shared papers)K.Y. Chua (3 shared papers)Terence H. Rabbitts (4 shared papers)W. F. Robinson (5 shared papers)Philip K. Nicholls (9 shared papers)
- Journals
- British Journal of Haematology (4 papers)Archives of Virology (4 papers)Gene (3 papers)Leukemia Research (3 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Wayne K. Greene
55 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Immunology and Allergy 174
- Virology 113
- Parasitology 66
- Plant Science 383
- Molecular Biology 569
Countries citing papers authored by Wayne K. Greene
This map shows the geographic impact of Wayne K. Greene'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 Wayne K. Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne K. Greene more than expected).
Fields of papers citing papers by Wayne K. Greene
This network shows the impact of papers produced by Wayne K. Greene. 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 Wayne K. Greene. The network helps show where Wayne K. Greene may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne K. Greene, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 218 | |
| 2 | 2013 | 159 | |
| 3 | 1991 | 74 | |
| 4 | 2011 | 71 | |
| 5 | 1991 | 57 | |
| 6 | Mutation analysis of VSX1 and SOD1 in Iranian patients with keratoconus. | 2011 | 56 |
| 7 | 1992 | 52 | |
| 8 | 2012 | 44 | |
| 9 | 1993 | 39 | |
| 10 | 1998 | 39 | |
| 11 | 1993 | 38 | |
| 12 | 1999 | 35 | |
| 13 | 2013 | 34 | |
| 14 | 1995 | 32 | |
| 15 | 1993 | 31 | |
| 16 | 2020 | 29 | |
| 17 | 2007 | 29 | |
| 18 | 1998 | 24 | |
| 19 | 2019 | 23 | |
| 20 | 1994 | 22 |
About Wayne K. Greene
Wayne K. Greene is a scholar working on Molecular Biology, Immunology, Genetics, Neurology and Immunology and Allergy, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related gene regulation (9 papers), Vagus Nerve Stimulation Research (7 papers), Food Allergy and Anaphylaxis Research (6 papers), T-cell and Retrovirus Studies (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Acute Myeloid Leukemia Research (5 papers), Chromosomal and Genetic Variations (5 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Immunology and Allergy (174 citations), Virology (113 citations), Parasitology (66 citations), Plant Science (383 citations) and Molecular Biology (569 citations). Wayne K. Greene has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Keith R. Oliver, Wayne R. Thomas, J. McComb, Ursula R. Kees, K.Y. Chua, Terence H. Rabbitts, W. F. Robinson, Philip K. Nicholls, Norma Masson and Bin Ma. Their work appears in journals such as British Journal of Haematology, Archives of Virology, Gene, Leukemia Research and Molecular and Cellular Biology.
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.