Philip Haycock
- Genetics top 0.1%
- Genetic Associations and Epidemiology 23
- Genetic Mapping and Diversity in Plants and Animals 5
- Genetic and phenotypic traits in livestock 4
- Genetic Syndromes and Imprinting 3
- Aging top 1%
- Rheumatology top 0.5%
- Physiology top 1%
- Biological Psychiatry top 2%
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- Epigenetics and DNA Methylation 10
- Bioinformatics and Genomic Networks 2
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- Cancer, Lipids, and Metabolism 3
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- Prenatal Substance Exposure Effects 3
- Co-authors
- George Davey SmithJack BowdenStephen BurgessGibran HemaniJie ZhengCaroline L. ReltonDavid M. EvansDenis Baird
- Cited by
- GeneticsAgingRheumatology
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Philip Haycock
37 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Genetics 6.2k
- Aging 232
- Rheumatology 1.4k
- Physiology 2.1k
- Biological Psychiatry 188
Countries citing papers authored by Philip Haycock
This map shows the geographic impact of Philip Haycock'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 Philip Haycock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Haycock more than expected).
Fields of papers citing papers by Philip Haycock
This network shows the impact of papers produced by Philip Haycock. 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 Philip Haycock. The network helps show where Philip Haycock may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip Haycock, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 11 | |
| 5 | 2020 | 76 | |
| 6 | 2019 | 16 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 29 | |
| 9 | 2018 | 40 | |
| 10 | 2018 | 20 | |
| 11 | 2018 | 71 | |
| 12 | Recent Developments in Mendelian Randomization Studiesbreakdown → | 2017 | 662 |
| 13 | LD hub and MR-base: online platforms for preforming LD score regression and Mendelian randomization analysis using GWAS summary data | 2016 | 5 |
| 14 | Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studiesbreakdown → | 2016 | 356 |
| 15 | LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysisbreakdown → | 2016 | 406 |
| 16 | 2016 | 17 | |
| 17 | Leucocyte telomere length and risk of cardiovascular disease: systematic review and meta-analysisbreakdown → | 2014 | 645 |
| 18 | 2009 | 119 | |
| 19 | 2009 | 123 | |
| 20 | The genetic prehistory of the Khoe and San | 2008 | 13 |
About Philip Haycock
Philip Haycock is a scholar working on Genetics, Cancer Research and Internal Medicine, having authored 38 papers that have together received 13.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (23 papers), Epigenetics and DNA Methylation (10 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (4 papers), Genetic Syndromes and Imprinting (3 papers), Cancer, Lipids, and Metabolism (3 papers), Prenatal Substance Exposure Effects (3 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Genetics (6.2k citations), Aging (232 citations) and Rheumatology (1.4k citations). Philip Haycock has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include George Davey Smith, Jack Bowden, Stephen Burgess, Gibran Hemani, Jie Zheng, Caroline L. Relton, David M. Evans, Denis Baird, Kaitlin H. Wade and Richard M. Martin. Their work appears in journals such as The Lancet, Nature Communications 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.