Wayne Knibb
Impact in
- Physiology top 1%
- Reproductive biology and impacts on aquatic species
- Genetics top 2%
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
Papers in
- Genetics 61
- Genetic and phenotypic traits in livestock 38
- Genetic diversity and population structure 21
- Evolution and Genetic Dynamics 8
- Physiology 12
- Reproductive biology and impacts on aquatic species 12
- Co-authors
- Nguyen Hong Nguyen (31 shared papers)John Graham Oakeshott (6 shared papers)John B. Gibson (2 shared papers)Abigail Elizur (15 shared papers)P. R. Anderson (2 shared papers)Geoffrey Keith Chambers (1 shared paper)H.K.A. Premachandra (14 shared papers)A. Colorni (5 shared papers)
In The Last Decade
Wayne Knibb
96 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 78
- Physiology 207
- Genetics 1.5k
- Aquatic Science 223
- Ecology 366
- Immunology 310
Countries citing papers authored by Wayne Knibb
This map shows the geographic impact of Wayne Knibb'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 Knibb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Knibb more than expected).
Fields of papers citing papers by Wayne Knibb
This network shows the impact of papers produced by Wayne Knibb. 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 Knibb. The network helps show where Wayne Knibb may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Knibb, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 287 | |
| 2 | 1981 | 118 | |
| 3 | 1982 | 102 | |
| 4 | 2006 | 82 | |
| 5 | 2010 | 80 | |
| 6 | 2002 | 71 | |
| 7 | 2000 | 64 | |
| 8 | 1998 | 61 | |
| 9 | 2014 | 56 | |
| 10 | 2006 | 54 | |
| 11 | 2014 | 54 | |
| 12 | 2015 | 53 | |
| 13 | 2000 | 52 | |
| 14 | 2013 | 52 | |
| 15 | 2019 | 51 | |
| 16 | 2018 | 49 | |
| 17 | 2019 | 46 | |
| 18 | Detection and identification of a pathogenic marine Mycobacterium from the European seabass Dicentrarchus labrax using polymerase chain reaction and direct sequencing of 16S rDNA sequences. | 1993 | 44 |
| 19 | 2018 | 44 | |
| 20 | 2014 | 43 |
About Wayne Knibb
Wayne Knibb is a scholar working on Genetics, Physiology, Immunology, Aquatic Science and Ecology, having authored 98 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (38 papers), Genetic diversity and population structure (21 papers), Reproductive biology and impacts on aquatic species (12 papers), Aquaculture disease management and microbiota (12 papers), Evolution and Genetic Dynamics (8 papers), Chromosomal and Genetic Variations (7 papers), Marine Bivalve and Aquaculture Studies (7 papers) and Crustacean biology and ecology (5 papers). The work is most often cited by research in Physiology (207 citations), Genetics (1.5k citations), Aquatic Science (223 citations), Ecology (366 citations) and Immunology (310 citations). Wayne Knibb has collaborated with scholars based in Australia, Israel and Vietnam. Frequent co-authors include Nguyen Hong Nguyen, John Graham Oakeshott, John B. Gibson, Abigail Elizur, P. R. Anderson, Geoffrey Keith Chambers, H.K.A. Premachandra, A. Colorni, Daniel Powell and Nguyễn Hữu Ninh. Their work appears in journals such as Aquaculture, Frontiers in Genetics, Genetica, Scientific Reports and PLoS ONE.
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.