James Boocock
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Aging top 10%
Papers in
- Genetics 15
- Genetic Mapping and Diversity in Plants and Animals 7
- Genetic Associations and Epidemiology 4
- Forensic and Genetic Research 3
- Genetic and phenotypic traits in livestock 3
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- Fungal and yeast genetics research 3
- Co-authors
- Tony R. Merriman (8 shared papers)Leonid Kruglyak (8 shared papers)Joshua S. Bloom (7 shared papers)Bogdan Paşaniuc (2 shared papers)Michael A. Black (5 shared papers)Panos Roussos (1 shared paper)Murray Cadzow (5 shared papers)Claudia Giambartolomei (1 shared paper)
- Journals
- eLife (4 papers)Human Molecular Genetics (3 papers)PLoS ONE (3 papers)Annals of the Rheumatic Diseases (2 papers)Bioinformatics (2 papers)
- Partner nations
- United StatesNew ZealandAustralia
In The Last Decade
James Boocock
32 papers receiving 761 citations
Peers
Comparison fields: 5 of 96
- Nephrology 115
- Aging 28
- Genetics 364
- Geography, Planning and Development 44
- Paleontology 43
Countries citing papers authored by James Boocock
This map shows the geographic impact of James Boocock'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 James Boocock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Boocock more than expected).
Fields of papers citing papers by James Boocock
This network shows the impact of papers produced by James Boocock. 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 James Boocock. The network helps show where James Boocock may publish in the future.
Co-authors
The 25 scholars most cited alongside James Boocock, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 159 | |
| 2 | 2018 | 57 | |
| 3 | 2014 | 53 | |
| 4 | 2020 | 49 | |
| 5 | 2019 | 48 | |
| 6 | 2017 | 46 | |
| 7 | 2018 | 33 | |
| 8 | 2017 | 31 | |
| 9 | 2019 | 31 | |
| 10 | 2001 | 30 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 26 | |
| 13 | 2015 | 24 | |
| 14 | 2018 | 22 | |
| 15 | 2022 | 21 | |
| 16 | 2018 | 21 | |
| 17 | 2015 | 20 | |
| 18 | 2016 | 18 | |
| 19 | 2021 | 12 | |
| 20 | 2016 | 9 |
About James Boocock
James Boocock is a scholar working on Genetics, Molecular Biology, Nephrology, Paleontology and Ecology, having authored 34 papers that have together received 766 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Genetic Associations and Epidemiology (4 papers), Forensic and Genetic Research (3 papers), Genetic and phenotypic traits in livestock (3 papers), Archaeology and ancient environmental studies (3 papers), Fungal and yeast genetics research (3 papers) and Pacific and Southeast Asian Studies (3 papers). The work is most often cited by research in Nephrology (115 citations), Aging (28 citations), Genetics (364 citations), Geography, Planning and Development (44 citations) and Paleontology (43 citations). James Boocock has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Tony R. Merriman, Leonid Kruglyak, Joshua S. Bloom, Bogdan Paşaniuc, Michael A. Black, Panos Roussos, Murray Cadzow, Claudia Giambartolomei, Andrew E. Jaffe and Huwenbo Shi. Their work appears in journals such as eLife, Human Molecular Genetics, PLoS ONE, Annals of the Rheumatic Diseases and Bioinformatics.
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.