Gavin Band

24.6k citations
10 papers · 5.0k indexed · 2 hit papers · h-index 7

Impact in

  • Genetics top 0.5%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Forensic and Genetic Research
    • Genomics and Rare Diseases

Papers in

    • Genetic Associations and Epidemiology 4
    • Forensic and Genetic Research 3
    • Genetic and phenotypic traits in livestock 2
    • Race, Genetics, and Society 2

Gavin Band

10 papers receiving 5.0k citations

Hit Papers

The UK Biobank resource with deep phenotyping and genomic data 2018 · 4.4k citations
4.4k201420262018202210002.0k3.0k4.0k

Peers

Gavin Band
Comparison fields: 5 of 171
  • Genetics 2.7k
  • Biological Psychiatry 67
  • Aging 41
  • Health Informatics 26
  • Molecular Biology 1.3k
Replace Jared O’Connell with:
Jared O’Connell United Kingdom
Allan Motyer Australia
Mark Effingham United Kingdom
Adrián Cortés United Kingdom
Samantha Welsh United Kingdom
Lloyd T. Elliott Canada
Stephen Leslie United States
Kevin Sharp United States
Clare Bycroft United Kingdom
Desislava Petkova United States
Gavin Band relative to Jared O’Connell United Kingdom Jared O’Connell's profile →
Citations per field
00.5×3.0×
Jared O’Connell · 1×
Citations per year

Countries citing papers authored by Gavin Band

Since Specialization
Citations

This map shows the geographic impact of Gavin Band'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 Gavin Band with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Band more than expected).

Fields of papers citing papers by Gavin Band

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin Band. 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 Gavin Band. The network helps show where Gavin Band may publish in the future.

Co-authors

The 25 scholars most cited alongside Gavin Band, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gavin Band Line = papers co-authored together Gavin Band links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20241
2 20233
3 20224
4 202125
5 202123
6 201917
7
The UK Biobank resource with deep phenotyping and genomic data
Hit paper breakdown →
20184399
8 201617
9 2016106
10
A Genetic Atlas of Human Admixture History
Hit paper breakdown →
2014451

About Gavin Band

Gavin Band is a scholar working on Aging, Genetics, Endocrinology, Paleontology and Cancer Research, having authored 10 papers that have together received 5.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Forensic and Genetic Research (3 papers), Genetic and phenotypic traits in livestock (2 papers), Race, Genetics, and Society (2 papers), Glycosylation and Glycoproteins Research (1 paper), Single-cell and spatial transcriptomics (1 paper), Archaeology and ancient environmental studies (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Genetics (2.7k citations), Biological Psychiatry (67 citations), Aging (41 citations), Health Informatics (26 citations) and Molecular Biology (1.3k citations). Gavin Band has collaborated with scholars based in United Kingdom, Kenya and United States. Frequent co-authors include Gil McVean, Olivier Delaneau, Samantha Welsh, Allan Motyer, Peter Donnelly, Adrián Cortés, Clare Bycroft, Lloyd T. Elliott, Jared O’Connell and Jonathan Marchini. Their work appears in journals such as eLife, PLoS Computational Biology, Molecular Biology and Evolution, Nature Communications and PLoS 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.

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