Matthew E. Talbert

2.2k citations
11 papers · 2.1k · 1 hit paper · h-index 10

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 3
    • Genetic Associations and Epidemiology 6
    • Nutrition, Genetics, and Disease 1

Matthew E. Talbert

11 papers receiving 2k citations

Matthew E. Talbert's Hit Papers

A Genome-Wide Association Search for Type 2 Diabetes Genes in African Americans 2012 · 1.7k citations
1.7k0+4+9Years since publication5001k1.5k

Peers

Matthew E. Talbert
Comparison fields: 5 of 183
  • Aging 27
  • Nephrology 118
  • Genetics 300
  • Physiology 25
  • Ecology 112
Replace Joshua P. Lewis with:
Joshua P. Lewis United States
Vera Baumans Netherlands
Lisa R. Leon United States
Hansjoachim Hackbarth Germany
Jessica N. Cooke Bailey United States
Julie T. Ziegler United States
David B. Morton United Kingdom
Megan E. Rudock United States
Marie‐Thérèse Bihoreau United Kingdom
Robert S. Rogers United States
Matthew E. Talbert relative to Joshua P. Lewis United States Joshua P. Lewis's profile →
Citations per field
00.5×2×2.8×
Joshua P. Lewis · 1×
Citations per year

Countries citing papers authored by Matthew E. Talbert

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Talbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Talbert. 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 Matthew E. Talbert. The network helps show where Matthew E. Talbert may publish in the future.

Co-authors

The 25 scholars most cited alongside Matthew E. Talbert, 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 Matthew E. Talbert Line = papers co-authored together Matthew E. Talbert links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
A Genome-Wide Association Search for Type 2 Diabetes Genes in African Americans
Hit paper breakdown →
20121710
2 2010131
3 200943
4 200836
5 200830
6 201929
7 200926
8 201725
9 201115
10 201511
11 20213

About Matthew E. Talbert

Matthew E. Talbert is a scholar working on Aging, Genetics, Nephrology, Cellular and Molecular Neuroscience and Physiology, having authored 11 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Neurobiology and Insect Physiology Research (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Diet, Metabolism, and Disease (1 paper), Nutrition, Genetics, and Disease (1 paper) and Paraoxonase enzyme and polymorphisms (1 paper). The work is most often cited by research in Aging (27 citations), Nephrology (118 citations), Genetics (300 citations), Physiology (25 citations) and Ecology (112 citations). Matthew E. Talbert has collaborated with scholars based in United States and Canada. Frequent co-authors include Donald W. Bowden, Carl D. Langefeld, Jill M. Norris, Julie T. Ziegler, Steven M. Haffner, Barry Freedman, Maria R. Wing, Wayne O. Hemphill, Jessica N. Cooke Bailey and Lingyi Lu. Their work appears in journals such as Obesity, Heliyon, Diabetes, PLoS ONE and Human 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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