David John Lynn
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
- Genetics top 1%
- Genetic and phenotypic traits in livestock
Papers in
-
- Bioinformatics and Genomic Networks 18
- Gut microbiota and health 11
- Immunology 13
- Immune responses and vaccinations 10
- Co-authors
- Fiona S. L. Brinkman (9 shared papers)Cliona O’Farrelly (13 shared papers)Amir B. K. Foroushani (5 shared papers)Robert E. W. Hancock (6 shared papers)Andrew T. Lloyd (11 shared papers)Anastasia Sribnaia (5 shared papers)Geoffrey L. Winsor (2 shared papers)Matthew R. Laird (2 shared papers)
In The Last Decade
David John Lynn
123 papers receiving 9.0k citations
David John Lynn's Hit Papers
Peers
Comparison fields: 5 of 135
- Microbiology 411
- Genetics 1.5k
- Immunology 554
- Molecular Biology 1.7k
- Agronomy and Crop Science 232
Countries citing papers authored by David John Lynn
This map shows the geographic impact of David John Lynn'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 David John Lynn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David John Lynn more than expected).
Fields of papers citing papers by David John Lynn
This network shows the impact of papers produced by David John Lynn. 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 David John Lynn. The network helps show where David John Lynn may publish in the future.
Co-authors
The 25 scholars most cited alongside David John Lynn, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution Hit paper breakdown → | 2009 | 975 |
| 2 | InnateDB: systems biology of innate immunity and beyond—recent updates and continuing curation Hit paper breakdown → | 2012 | 966 |
| 3 | Genome-Wide Survey of SNP Variation Uncovers the Genetic Structure of Cattle Breeds Hit paper breakdown → | 2009 | 686 |
| 4 | 2012 | 425 | |
| 5 | 2008 | 308 | |
| 6 | 2011 | 234 | |
| 7 | 2018 | 232 | |
| 8 | 2021 | 217 | |
| 9 | Long-term perturbation of the peripheral immune system months after SARS-CoV-2 infection Hit paper breakdown → | 2022 | 215 |
| 10 | 2004 | 189 | |
| 11 | 2009 | 165 | |
| 12 | 2020 | 165 | |
| 13 | 2018 | 163 | |
| 14 | 2006 | 161 | |
| 15 | 2002 | 159 | |
| 16 | 2018 | 153 | |
| 17 | 2007 | 136 | |
| 18 | 2012 | 136 | |
| 19 | 2016 | 121 | |
| 20 | 2014 | 111 |
About David John Lynn
David John Lynn is a scholar working on Molecular Biology, Immunology, Microbiology, Cancer Research and Infectious Diseases, having authored 126 papers that have together received 9.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (18 papers), Gut microbiota and health (11 papers), Immune responses and vaccinations (10 papers), Genetic and phenotypic traits in livestock (9 papers), Antimicrobial Peptides and Activities (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Cancer, Lipids, and Metabolism (4 papers) and Prostate Cancer Treatment and Research (3 papers). The work is most often cited by research in Microbiology (411 citations), Genetics (1.5k citations), Immunology (554 citations), Molecular Biology (1.7k citations) and Agronomy and Crop Science (232 citations). David John Lynn has collaborated with scholars based in Australia, Ireland and Canada. Frequent co-authors include Fiona S. L. Brinkman, Cliona O’Farrelly, Amir B. K. Foroushani, Robert E. W. Hancock, Andrew T. Lloyd, Anastasia Sribnaia, Geoffrey L. Winsor, Matthew R. Laird, Karin Breuer and Raymond Lo. Their work appears in journals such as Immunogenetics, BMC Genomics, PLoS ONE, Nature Communications and British Journal of Cancer.
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.