John DeModena

1.5k citations
12 papers · 1.2k indexed · h-index 12

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Hemoglobin structure and function
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 5
    • Hemoglobin structure and function 2
    • Cellular Mechanics and Interactions 1

John DeModena

12 papers receiving 1.2k citations

Peers

John DeModena
Comparison fields: 5 of 83
  • Aging 313
  • Cell Biology 333
  • Endocrine and Autonomic Systems 136
  • Molecular Biology 805
  • Genetics 227
Replace Matthew Buechner with:
Matthew Buechner United States
Mary Berks United Kingdom
Fabrice David Switzerland
T. Cole Germany
Lucinda Carnell United States
Francesca Palladino France
Yo Tabuse Japan
Ann K. Corsi United States
Karen Thomas United States
Long Miao China
John DeModena relative to Matthew Buechner United States Matthew Buechner's profile →
Citations per field
00.5×1.5×
Matthew Buechner · 1×
Citations per year

Countries citing papers authored by John DeModena

Since Specialization
Citations

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

Fields of papers citing papers by John DeModena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 201412
2 201111
3 201033
4 2009136
5 200824
6 2001109
7 2001248
8 1998175
9 199391
10 1991178
11 199176
12 199096

About John DeModena

John DeModena is a scholar working on Aging, Cell Biology, Physiology, Biophysics and Nephrology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), CRISPR and Genetic Engineering (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Hemoglobin structure and function (2 papers), RNA Research and Splicing (2 papers), Renal Diseases and Glomerulopathies (1 paper), RNA modifications and cancer (1 paper) and Cellular Mechanics and Interactions (1 paper). The work is most often cited by research in Aging (313 citations), Cell Biology (333 citations), Endocrine and Autonomic Systems (136 citations), Molecular Biology (805 citations) and Genetics (227 citations). John DeModena has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Paul W. Sternberg, Thomas R. Clandinin, Jeffrey H. Stack, Paul K. Herman, Scott D. Emr, L. Ryan Baugh, Maureen M. Barr, David H. Hall, Joseph E. Curtis and James E. Bailey. Their work appears in journals such as Nature Biotechnology, Cell, Current Biology, Science and Genetics.

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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