Jay L. Tomasiewicz

923 citations
6 papers · 294 · h-index 6

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism
    • Dietary Effects on Health

Papers in

Jay L. Tomasiewicz

6 papers receiving 292 citations

Peers

Jay L. Tomasiewicz
Comparison fields: 5 of 54
  • Aging 75
  • Physiology 149
  • Endocrine and Autonomic Systems 35
  • Geriatrics and Gerontology 11
  • Biological Psychiatry 7
Replace Ishita Aggarwal with:
Ishita Aggarwal United States
Sabrina N. Dumas United States
Spencer A. Haws United States
Kaleb Smith United States
Edmund B. Chen United States
Lucydalila Cedillo United States
Herman Tung United States
Weiyan Shen China
Ruud van der Breggen Netherlands
Shu‐Yi Huang Taiwan
Jay L. Tomasiewicz relative to Ishita Aggarwal United States Ishita Aggarwal's profile →
Citations per field
00.5×2.5×
Ishita Aggarwal · 1×
Citations per year

Countries citing papers authored by Jay L. Tomasiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Jay L. Tomasiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay L. Tomasiewicz. 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 Jay L. Tomasiewicz. The network helps show where Jay L. Tomasiewicz may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 201967
2 201866
3 202260
4 202057
5 202027
6 201917

About Jay L. Tomasiewicz

Jay L. Tomasiewicz is a scholar working on Physiology, Pediatrics, Perinatology and Child Health, Molecular Biology, Aging and Endocrine and Autonomic Systems, having authored 6 papers that have together received 294 indexed citations. Recurring topics across this work include Birth, Development, and Health (3 papers), Adipose Tissue and Metabolism (3 papers), Diet and metabolism studies (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer-related gene regulation (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Aging (75 citations), Physiology (149 citations), Endocrine and Autonomic Systems (35 citations), Geriatrics and Gerontology (11 citations) and Biological Psychiatry (7 citations). Jay L. Tomasiewicz has collaborated with scholars based in United States and Japan. Frequent co-authors include Dudley W. Lamming, Deyang Yu, Shany E. Yang, Blake R. Miller, Jacqueline A. Brinkman, Nicole E. Cummings, Dawn S. Sherman, Vincent L. Cryns, Emma L. Baar and Nicole E. Richardson. Their work appears in journals such as Cell Metabolism, eLife, Scientific Reports, Molecular Cell and The FASEB Journal.

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.

Explore authors with similar magnitude of impact