John Garner
Impact in
- Genetics top 0.2%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Forensic and Genetic Research
- Genomic variations and chromosomal abnormalities
- Genetic Mapping and Diversity in Plants and Animals
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 8
- Genetic Associations and Epidemiology 6
- Genomic variations and chromosomal abnormalities 4
- Genomics and Rare Diseases 4
- Genetic Mapping and Diversity in Plants and Animals 1
- Genetic and phenotypic traits in livestock 1
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- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 2
- Co-authors
- Kevin G. Becker (2 shared papers)Supriyo De (2 shared papers)John R. Lopez (4 shared papers)Justin E. Paschall (2 shared papers)Michael E. Maguire (2 shared papers)Paul Flicek (2 shared papers)Deanna M. Church (2 shared papers)Ilkka Lappalainen (2 shared papers)
- Journals
- F1000Research (2 papers)Nucleic Acids Research (1 paper)Nature (1 paper)BMC Medical Genomics (1 paper)Physiological Genomics (1 paper)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
John Garner
9 papers receiving 13.6k citations
John Garner's Hit Papers
Peers
Comparison fields: 5 of 176
- Genetics 6.1k
- Cancer Research 1.2k
- Molecular Biology 5.1k
- Immunology 721
- Aging 58
Countries citing papers authored by John Garner
This map shows the geographic impact of John Garner'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 John Garner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Garner more than expected).
Fields of papers citing papers by John Garner
This network shows the impact of papers produced by John Garner. 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 John Garner. The network helps show where John Garner may publish in the future.
Co-authors
The 25 scholars most cited alongside John Garner, 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 | A global reference for human genetic variation Hit paper breakdown → | 2015 | 12573 |
| 2 | A global reference for human genetic variation Hit paper breakdown → | 2015 | 476 |
| 3 | 2014 | 321 | |
| 4 | 2012 | 213 | |
| 5 | 2010 | 116 | |
| 6 | 2010 | 54 | |
| 7 | 2010 | 16 | |
| 8 | 2017 | 14 | |
| 9 | 2016 | 14 | |
| 10 | An integrated map of structural variation in 2,504 human genomes_supplement | 2016 | 1 |
About John Garner
John Garner is a scholar working on Genetics, Molecular Biology, Public Health, Environmental and Occupational Health, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 10 papers that have together received 13.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Rare Diseases (4 papers), Genomics and Phylogenetic Studies (3 papers), Gene expression and cancer classification (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Genetics (6.1k citations), Cancer Research (1.2k citations), Molecular Biology (5.1k citations), Immunology (721 citations) and Aging (58 citations). John Garner has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Kevin G. Becker, Supriyo De, John R. Lopez, Justin E. Paschall, Michael E. Maguire, Paul Flicek, Deanna M. Church, Ilkka Lappalainen, George Zhou and Chao Chen. Their work appears in journals such as F1000Research, Nucleic Acids Research, Nature, BMC Medical Genomics and Physiological Genomics.
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.