Jeff Waring

4.6k citations
11 papers · 2.6k · 3 hit papers · h-index 10

Impact in

Papers in

    • Lipid metabolism and biosynthesis 2
    • Genetic Associations and Epidemiology 4

Jeff Waring

11 papers receiving 2.5k citations

Jeff Waring's Hit Papers

Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes 2022 · 163 citations
1630+1+3Years since publication4008001.2k

Peers

Jeff Waring
Comparison fields: 5 of 103
  • Neurology 297
  • Biological Psychiatry 86
  • Ophthalmology 211
  • Physiology 564
  • Nephrology 157
Replace Johanna A. Huhtakangas with:
Johanna A. Huhtakangas Finland
Marla Hochfeld United States
Moeen Riaz Australia
Michelle A. Grunin Israel
Camille Charbonnier France
Daniel I. Chasman United States
Eitaro Nakashima Japan
Tim Y. -T. Lu Finland
Kathy Klinger United States
Jeff Waring relative to Johanna A. Huhtakangas Finland Johanna A. Huhtakangas's profile →
Citations per field
00.5×2×3×4.4×
Johanna A. Huhtakangas · 1×
Citations per year

Countries citing papers authored by Jeff Waring

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Waring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Jeff Waring, 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 Jeff Waring Line = papers co-authored together Jeff Waring links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
New insights into the genetic etiology of Alzheimer’s disease and related dementias
Hit paper breakdown →
20221436
2 2010346
3
Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries
Hit paper breakdown →
2021269
4
Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes
Hit paper breakdown →
2022163
5 2019134
6 2020108
7 201877
8 201322
9 202122
10 202018
11 20218

About Jeff Waring

Jeff Waring is a scholar working on Biochemistry, Genetics, Ophthalmology, Molecular Biology and Statistics and Probability, having authored 11 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Genetic Associations and Epidemiology (4 papers), Lipid metabolism and biosynthesis (2 papers), Glaucoma and retinal disorders (2 papers), Acute Myeloid Leukemia Research (1 paper), RNA modifications and cancer (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Neurology (297 citations), Biological Psychiatry (86 citations), Ophthalmology (211 citations), Physiology (564 citations) and Nephrology (157 citations). Jeff Waring has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Nancy Payeur and Helena Daudt. Their work appears in journals such as Nature Communications, Nature Genetics, Nature Biotechnology, Cell Genomics and Nature.

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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