Mark Effingham
Impact in
- Genetics top 1%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genomics and Rare Diseases
- Biological Psychiatry top 10%
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 6
- Genomics and Rare Diseases 3
- Diabetes and associated disorders 1
-
- Cancer Genomics and Diagnostics 4
- Cancer-related molecular mechanisms research 1
- Co-authors
- Naomi Allen (8 shared papers)Clare Bycroft (1 shared paper)Allan Motyer (1 shared paper)Damjan Vukcevic (1 shared paper)Lloyd T. Elliott (1 shared paper)Kevin Sharp (1 shared paper)Olivier Delaneau (1 shared paper)Gavin Band (1 shared paper)
- Journals
- Nature (2 papers)Journal of Epidemiology & Community Health (2 papers)British Journal of Pharmacology (1 paper)Science Translational Medicine (1 paper)Nature Reviews Genetics (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Mark Effingham
10 papers receiving 6.0k citations
Mark Effingham's Hit Papers
Peers
Comparison fields: 5 of 149
- Genetics 2.3k
- Biological Psychiatry 61
- Aging 41
- Health Informatics 33
- Molecular Biology 1.3k
Countries citing papers authored by Mark Effingham
This map shows the geographic impact of Mark Effingham'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 Mark Effingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Effingham more than expected).
Fields of papers citing papers by Mark Effingham
This network shows the impact of papers produced by Mark Effingham. 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 Mark Effingham. The network helps show where Mark Effingham may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Effingham, 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 | 5681 |
| 2 | Prospective study design and data analysis in UK Biobank Hit paper breakdown → | 2024 | 121 |
| 3 | 2022 | 93 | |
| 4 | 2019 | 87 | |
| 5 | 2025 | 28 | |
| 6 | 2024 | 27 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2025 | 0 |
About Mark Effingham
Mark Effingham is a scholar working on Genetics, Cancer Research, Statistics and Probability, Molecular Biology and Infectious Diseases, having authored 11 papers that have together received 6.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Rare Diseases (3 papers), COVID-19 Clinical Research Studies (1 paper), Biomedical Text Mining and Ontologies (1 paper), Cancer-related molecular mechanisms research (1 paper), Advanced Causal Inference Techniques (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Genetics (2.3k citations), Biological Psychiatry (61 citations), Aging (41 citations), Health Informatics (33 citations) and Molecular Biology (1.3k citations). Mark Effingham has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Naomi Allen, Clare Bycroft, Allan Motyer, Damjan Vukcevic, Lloyd T. Elliott, Kevin Sharp, Olivier Delaneau, Gavin Band, Gil McVean and Jonathan Marchini. Their work appears in journals such as Nature, Journal of Epidemiology & Community Health, British Journal of Pharmacology, Science Translational Medicine and Nature Reviews Genetics.
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.