Matthew E. Doumit

653 citations
14 papers · 561 · h-index 9

Impact in

  • Aging top 10%
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Muscle Physiology and Disorders 6
    • Peroxisome Proliferator-Activated Receptors 2
    • Tissue Engineering and Regenerative Medicine 5
    • Xenotransplantation and immune response 2

Matthew E. Doumit

14 papers receiving 543 citations

Peers

Matthew E. Doumit
Comparison fields: 5 of 69
  • Aging 21
  • Cancer Research 90
  • Genetics 58
  • Animal Science and Zoology 57
  • Molecular Biology 373
Replace Estela G. García-González with:
Estela G. García-González Mexico
Jenny M. Oldham New Zealand
Dilip K. Garikipati United States
Marjan M. Tajrishi United States
Anmin Lei China
Huili Tong China
Jane E. Pesall United States
Weijun Guan China
Ferenc Jeanplong New Zealand
Jiaxue Cao China
Matthew E. Doumit relative to Estela G. García-González Mexico Estela G. García-González's profile →
Citations per field
00.5×7.3×
Estela G. García-González · 1×
Citations per year

Countries citing papers authored by Matthew E. Doumit

Since Specialization
Citations

This map shows the geographic impact of Matthew E. Doumit'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. Doumit 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. Doumit more than expected).

Fields of papers citing papers by Matthew E. Doumit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1993120
2 2009104
3 199293
4 198877
5 201551
6 199343
7 201327
8 199018
9 201216
10 20195
11 20132
12 20202
13 20202
14 20111

About Matthew E. Doumit

Matthew E. Doumit is a scholar working on Molecular Biology, Surgery, Animal Science and Zoology, Physiology and Genetics, having authored 14 papers that have together received 561 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Meat and Animal Product Quality (4 papers), Animal Nutrition and Physiology (3 papers), Adipose Tissue and Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Xenotransplantation and immune response (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Aging (21 citations), Cancer Research (90 citations), Genetics (58 citations), Animal Science and Zoology (57 citations) and Molecular Biology (373 citations). Matthew E. Doumit has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include R. A. Merkel, Douglas R. Cook, Douglas C. McFarland, Richard D. Minshall, Rodney A. Hill, Douglas R. Cook, Timothy P. L. Smith, Luiz Lehmann Coutinho, T. G. McDaneld and Tad S. Sonstegard. Their work appears in journals such as Journal of Cellular Physiology, Tissue and Cell, PLoS ONE, Pflügers Archiv - European Journal of Physiology 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.

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