Matthew E. Talbert

2.2k citations
10 papers · 330 · h-index 9

Impact in

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

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 3
    • Genetic Associations and Epidemiology 3

Matthew E. Talbert

10 papers receiving 321 citations

Peers

Matthew E. Talbert
Comparison fields: 5 of 63
  • Aging 22
  • Nephrology 56
  • Physiology 19
  • Genetics 89
  • Endocrine and Autonomic Systems 20
Replace Shin Endo with:
Shin Endo Japan
Gregory Blass United States
Arturo Alisio United States
Erwin Reiling Netherlands
Nathalie Roudier France
Kathleen A. McNulty United States
Elena Speltra Italy
Jean‐Michel Garel France
Tammy M. Barnes United States
E Aurousseau France
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Citations per field
00.5×5.9×
Shin Endo · 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

10 of 10 papers shown
#Work
1 2010120
2 200941
3 200836
4 200829
5 201927
6 200925
7 201724
8 201114
9 201511
10 20213

About Matthew E. Talbert

Matthew E. Talbert is a scholar working on Epidemiology, Genetics, Cellular and Molecular Neuroscience, Aging and Immunology, having authored 10 papers that have together received 330 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Genetic Associations and Epidemiology (3 papers), Insect Utilization and Effects (2 papers), Obesity, Physical Activity, Diet (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Aging (22 citations), Nephrology (56 citations), Physiology (19 citations), Genetics (89 citations) and Endocrine and Autonomic Systems (20 citations). Matthew E. Talbert has collaborated with scholars based in United States and Canada. Frequent co-authors include Donald W. Bowden, Carl D. Langefeld, Steven M. Haffner, Julie T. Ziegler, Barry I. Freedman, Maria R. Wing, Wayne O. Hemphill, Jill M. Norris, Jill M. Norris and Joshua P. Lewis. Their work appears in journals such as Obesity, Diabetes, Heliyon, G3 Genes Genomes Genetics and Proceedings of the Royal Society B Biological Sciences.

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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