Matthew E. Talbert
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
- Genetics 4
- Genetic Associations and Epidemiology 3
- Genetic Mapping and Diversity in Plants and Animals 1
- Genetic and phenotypic traits in livestock 1
- Co-authors
- Donald W. Bowden (6 shared papers)Carl D. Langefeld (5 shared papers)Julie T. Ziegler (3 shared papers)Steven M. Haffner (3 shared papers)Barry I. Freedman (2 shared papers)Maria R. Wing (2 shared papers)Jill M. Norris (2 shared papers)Joshua P. Lewis (1 shared paper)
- Journals
- Obesity (3 papers)Proceedings of the Royal Society B Biological Sciences (1 paper)Diabetes (1 paper)Journal of Comparative Physiology B (1 paper)Kidney International (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Matthew E. Talbert
10 papers receiving 315 citations
Peers
Comparison fields: 5 of 64
- Aging 22
- Nephrology 67
- Physiology 22
- Genetics 102
- Endocrinology, Diabetes and Metabolism 58
Countries citing papers authored by Matthew E. Talbert
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 116 | |
| 2 | 2009 | 41 | |
| 3 | 2008 | 34 | |
| 4 | 2008 | 27 | |
| 5 | 2019 | 26 | |
| 6 | 2009 | 23 | |
| 7 | 2017 | 23 | |
| 8 | 2011 | 14 | |
| 9 | 2015 | 11 | |
| 10 | 2021 | 3 |
About Matthew E. Talbert
Matthew E. Talbert is a scholar working on Epidemiology, Genetics, Cellular and Molecular Neuroscience, Aging and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 318 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (3 papers), Genetic Associations and Epidemiology (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Insect Utilization and Effects (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Aging (22 citations), Nephrology (67 citations), Physiology (22 citations), Genetics (102 citations) and Endocrinology, Diabetes and Metabolism (58 citations). Matthew E. Talbert has collaborated with scholars based in United States and Canada. Frequent co-authors include Donald W. Bowden, Carl D. Langefeld, Julie T. Ziegler, Steven M. Haffner, Barry I. Freedman, Maria R. Wing, Jill M. Norris, Joshua P. Lewis, Jill M. Norris and Michèle M. Sale. Their work appears in journals such as Obesity, Proceedings of the Royal Society B Biological Sciences, Diabetes, Journal of Comparative Physiology B and Kidney International.
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.