Clare Bycroft
Impact in
- Genetics top 0.5%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Health Informatics top 5%
Papers in
- Genetics 3
- Genetic Associations and Epidemiology 3
- Genomics and Rare Diseases 1
- Forensic and Genetic Research 1
- Genomic variations and chromosomal abnormalities 1
-
- Genomics and Chromatin Dynamics 1
- DNA Repair Mechanisms 1
- Co-authors
- Peter Donnelly (3 shared papers)Allan Motyer (1 shared paper)A. P. Young (1 shared paper)Jonathan Marchini (1 shared paper)Samantha Welsh (1 shared paper)Gil McVean (1 shared paper)Damjan Vukcevic (1 shared paper)Olivier Delaneau (1 shared paper)
- Journals
- Nature Communications (1 paper)Molecular Cell (1 paper)Science (1 paper)Nature (1 paper)Zenodo (CERN European Organization for Nuclear Research) (2 papers)
- Partner nations
- United KingdomSwitzerlandChina
In The Last Decade
Clare Bycroft
6 papers receiving 5.6k citations
Clare Bycroft's Hit Papers
Peers
Comparison fields: 5 of 161
- Genetics 2.2k
- Health Informatics 32
- Biological Psychiatry 52
- Aging 39
- Molecular Biology 1.4k
Countries citing papers authored by Clare Bycroft
This map shows the geographic impact of Clare Bycroft'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 Clare Bycroft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clare Bycroft more than expected).
Fields of papers citing papers by Clare Bycroft
This network shows the impact of papers produced by Clare Bycroft. 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 Clare Bycroft. The network helps show where Clare Bycroft may publish in the future.
Co-authors
The 25 scholars most cited alongside Clare Bycroft, 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 | The UK Biobank resource with deep phenotyping and genomic data Hit paper breakdown → | 2018 | 4650 |
| 2 | Accurate proteome-wide missense variant effect prediction with AlphaMissense Hit paper breakdown → | 2023 | 799 |
| 3 | 2020 | 92 | |
| 4 | 2019 | 52 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 |
About Clare Bycroft
Clare Bycroft is a scholar working on Genetics, Molecular Biology, Plant Science, Cancer Research and Infectious Diseases, having authored 6 papers that have together received 5.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Genomics and Chromatin Dynamics (1 paper), Genomics and Rare Diseases (1 paper), DNA Repair Mechanisms (1 paper), Forensic and Genetic Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Chromosomal and Genetic Variations (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Genetics (2.2k citations), Health Informatics (32 citations), Biological Psychiatry (52 citations), Aging (39 citations) and Molecular Biology (1.4k citations). Clare Bycroft has collaborated with scholars based in United Kingdom, Switzerland and China. Frequent co-authors include Peter Donnelly, Allan Motyer, A. P. Young, Jonathan Marchini, Samantha Welsh, Gil McVean, Damjan Vukcevic, Olivier Delaneau, Gavin Band and Adrián Cortés. Their work appears in journals such as Nature Communications, Molecular Cell, Science, Nature and Zenodo (CERN European Organization for Nuclear Research).
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.