Gordon Wade

14.9k citations
12 papers · 9.1k · 3 hit papers · h-index 10

Impact in

  • Genetics top 0.5%
    • Genomics and Rare Diseases
    • Genetic Associations and Epidemiology
    • Genetics and Neurodevelopmental Disorders
    • Genomic variations and chromosomal abnormalities
    • BRCA gene mutations in cancer
    • Metabolism and Genetic Disorders

Papers in

    • Genomics and Rare Diseases 12
    • Genetic Associations and Epidemiology 4
    • Evolution and Genetic Dynamics 2
    • Genomic variations and chromosomal abnormalities 1
    • Parkinson's Disease Mechanisms and Treatments 1

Gordon Wade

12 papers receiving 9k citations

Gordon Wade's Hit Papers

A genomic mutational constraint map using variation in 76,156 human genomes 2023 · 966 citations
9660+2+4Years since publication2k4k6k

Peers

Gordon Wade
Comparison fields: 5 of 119
  • Genetics 4.4k
  • Clinical Biochemistry 217
  • Cancer Research 415
  • Molecular Biology 1.9k
  • Neurology 372
Replace Christopher Llanwarne with:
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Kathleen Tibbetts United States
Thibault Jeandet United States
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Diane Kaplan United States
Arcturus Wang United States
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Citations per field
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Citations per year

Countries citing papers authored by Gordon Wade

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Wade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

12 of 12 papers shown
#Work
1
The mutational constraint spectrum quantified from variation in 141,456 humans
Hit paper breakdown →
20206789
2
A genomic mutational constraint map using variation in 76,156 human genomes
Hit paper breakdown →
2023966
3
A structural variation reference for medical and population genetics
Hit paper breakdown →
2020650
4 2020135
5 2020130
6 2020130
7 2020111
8 2020100
9 202138
10 202322
11 20258
12
The mutational constraint spectrum quantified from variation in 141,456 humans (vol 581, pg 434, 2020)
20212

About Gordon Wade

Gordon Wade is a scholar working on Genetics, Neurology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 12 papers that have together received 9.1k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (12 papers), Genetic Associations and Epidemiology (4 papers), Evolution and Genetic Dynamics (2 papers), Parkinson's Disease Mechanisms and Treatments (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Genetics (4.4k citations), Clinical Biochemistry (217 citations), Cancer Research (415 citations), Molecular Biology (1.9k citations) and Neurology (372 citations). Gordon Wade has collaborated with scholars based in United States, Finland and United Kingdom. Their work appears in journals such as Nature, Nature Communications, Nature Medicine and Nature 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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