Graeme Laver
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Organic Chemistry top 10%
- Carbohydrate Chemistry and Synthesis
Papers in
- Epidemiology 11
- Influenza Virus Research Studies 11
- Respiratory viral infections research 3
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- Glycosylation and Glycoproteins Research 3
- Chemical Synthesis and Analysis 2
- Co-authors
- Elspeth F. Garman (6 shared papers)G.L. Taylor (5 shared papers)Eric R. Vimr (3 shared papers)S.J. Crennell (2 shared papers)Y.S. Babu (3 shared papers)Pooran Chand (3 shared papers)John A. Montgomery (3 shared papers)Shanta Bantia (3 shared papers)
- Journals
- Journal of Molecular Biology (5 papers)Journal of Medicinal Chemistry (2 papers)Current Drug Targets (1 paper)Microbes and Infection (1 paper)Journal of General Virology (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Graeme Laver
18 papers receiving 975 citations
Peers
Comparison fields: 5 of 83
- Epidemiology 589
- Organic Chemistry 261
- Molecular Biology 553
- Microbiology 42
- Endocrinology 35
Countries citing papers authored by Graeme Laver
This map shows the geographic impact of Graeme Laver'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 Graeme Laver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graeme Laver more than expected).
Fields of papers citing papers by Graeme Laver
This network shows the impact of papers produced by Graeme Laver. 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 Graeme Laver. The network helps show where Graeme Laver may publish in the future.
Co-authors
The 25 scholars most cited alongside Graeme Laver, 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 | 2000 | 308 | |
| 2 | 1994 | 178 | |
| 3 | 2003 | 98 | |
| 4 | 1996 | 73 | |
| 5 | 1995 | 62 | |
| 6 | 2004 | 48 | |
| 7 | 1999 | 45 | |
| 8 | 2008 | 36 | |
| 9 | 1985 | 30 | |
| 10 | 2002 | 28 | |
| 11 | 1999 | 26 | |
| 12 | 1992 | 21 | |
| 13 | 2004 | 16 | |
| 14 | 1993 | 12 | |
| 15 | 2006 | 11 | |
| 16 | 1992 | 6 | |
| 17 | 2001 | 1 | |
| 18 | 1978 | 1 |
About Graeme Laver
Graeme Laver is a scholar working on Epidemiology, Molecular Biology, Organic Chemistry, Ecology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 1000 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Bacteriophages and microbial interactions (4 papers), Glycosylation and Glycoproteins Research (3 papers), Respiratory viral infections research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Enzyme Structure and Function (2 papers), COVID-19 epidemiological studies (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Epidemiology (589 citations), Organic Chemistry (261 citations), Molecular Biology (553 citations), Microbiology (42 citations) and Endocrinology (35 citations). Graeme Laver has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Elspeth F. Garman, G.L. Taylor, Eric R. Vimr, S.J. Crennell, Y.S. Babu, Pooran Chand, John A. Montgomery, Shanta Bantia, Tsu‐Hsing Lin and Tracy L. Hutchison. Their work appears in journals such as Journal of Molecular Biology, Journal of Medicinal Chemistry, Current Drug Targets, Microbes and Infection and Journal of General Virology.
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.