Mark Effingham
Impact in
- Genetics top 0.5%
- 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 5%
Papers in
- Genetics 5
- Genetic Associations and Epidemiology 4
- Genomics and Rare Diseases 2
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- Single-cell and spatial transcriptomics 1
- Co-authors
- Naomi E. Allen (7 shared papers)Damjan Vukcevic (1 shared paper)Samantha Welsh (3 shared papers)Kevin Sharp (1 shared paper)Adrián Cortés (1 shared paper)Lloyd T. Elliott (1 shared paper)Colin Freeman (1 shared paper)Jonathan Marchini (1 shared paper)
- Journals
- Nature (1 paper)Journal of Internal Medicine (1 paper)Journal of Epidemiology & Community Health (1 paper)Nature Communications (1 paper)Nature Reviews Genetics (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Mark Effingham
7 papers receiving 4.5k citations
Mark Effingham's Hit Papers
Peers
Comparison fields: 5 of 148
- Genetics 2.2k
- Biological Psychiatry 68
- Health Informatics 31
- Aging 39
- Physiology 467
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 | 4399 |
| 2 | 2022 | 70 | |
| 3 | 2019 | 63 | |
| 4 | 2024 | 16 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 |
About Mark Effingham
Mark Effingham is a scholar working on Genetics, Molecular Biology, Cancer Research, Infectious Diseases and Oncology, having authored 7 papers that have together received 4.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Cancer Genomics and Diagnostics (3 papers), Genomics and Rare Diseases (2 papers), COVID-19 Clinical Research Studies (2 papers), Single-cell and spatial transcriptomics (1 paper), COVID-19 epidemiological studies (1 paper), Cancer-related molecular mechanisms research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Genetics (2.2k citations), Biological Psychiatry (68 citations), Health Informatics (31 citations), Aging (39 citations) and Physiology (467 citations). Mark Effingham has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Naomi E. Allen, Damjan Vukcevic, Samantha Welsh, Kevin Sharp, Adrián Cortés, Lloyd T. Elliott, Colin Freeman, Jonathan Marchini, Olivier Delaneau and Allan Motyer. Their work appears in journals such as Nature, Journal of Internal Medicine, Journal of Epidemiology & Community Health, Nature Communications 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.