Mary Beeson

973 citations
18 papers · 818 · h-index 12

Impact in

  • Aging top 5%
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence
    • Adipose Tissue and Metabolism

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 7
    • Hemoglobinopathies and Related Disorders 2
    • Virus-based gene therapy research 2
    • DNA Repair Mechanisms 1

Mary Beeson

17 papers receiving 791 citations

Peers

Mary Beeson
Comparison fields: 5 of 75
  • Aging 54
  • Physiology 301
  • Molecular Biology 482
  • Genetics 176
  • Oncology 147
Replace Lena Gordon with:
Lena Gordon United States
Suzanne Hosier United States
Rachel T. Simin United States
Jeffrey W. Hofmann United States
Allison Cox United States
David B. Rhee United States
Louis H. Ferland United States
Koichi Takebayashi Japan
Siôn L. Williams United States
Andrew M. Pickering United States
Mary Beeson relative to Lena Gordon United States Lena Gordon's profile →
Citations per field
00.5×
Lena Gordon · 1×
Citations per year

Countries citing papers authored by Mary Beeson

Since Specialization
Citations

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

Fields of papers citing papers by Mary Beeson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Beeson. 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 Mary Beeson. The network helps show where Mary Beeson may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1990306
2 2003138
3 199790
4 198249
5 200239
6 200238
7 200135
8 200230
9 199623
10 198618
11 199716
12 200412
13 200811
14 19737
15 19762
16 20022
17 19711
18 19991

About Mary Beeson

Mary Beeson is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Nutrition and Dietetics, having authored 18 papers that have together received 818 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Biochemical Analysis and Sensing Techniques (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Adipose Tissue and Metabolism (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Virus-based gene therapy research (2 papers), DNA Repair Mechanisms (1 paper) and Ovarian function and disorders (1 paper). The work is most often cited by research in Aging (54 citations), Physiology (301 citations), Molecular Biology (482 citations), Genetics (176 citations) and Oncology (147 citations). Mary Beeson has collaborated with scholars based in United States. Frequent co-authors include Lena Gordon, Gretchen H. Stein, Beth Bennett, Thomas E. Johnson, Paul D. Markel, Phyllis Carosone‐Link, Gautam Bandyopadhyay, Robert V. Farese, Yoshinori Kanoh and Mini P. Sajan. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Mammalian Genome, Experimental Cell Research, Genes Brain & Behavior and Diabetes.

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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