Don Jones

620 citations
10 papers · 344 · h-index 10

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Spaceflight effects on biology
    • Body Composition Measurement Techniques

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 7
    • Mitochondrial Function and Pathology 2
    • CRISPR and Genetic Engineering 2

Don Jones

10 papers receiving 330 citations

Peers

Don Jones
Comparison fields: 5 of 76
  • Aging 122
  • Physiology 66
  • Molecular Biology 157
  • Physical and Theoretical Chemistry 18
  • Biophysics 11
Replace Masakazu Oyama with:
Masakazu Oyama Japan
Johnson Y. Mak United States
Tyler C. Shimko United States
Susan A. Greenspoon United States
Xiaohu Song France
Macarena Parra United States
Howard S. Ducoff United States
Vinod Kumar Subramani South Korea
Per Nørgaard Denmark
Don Jones relative to Masakazu Oyama Japan Masakazu Oyama's profile →
Citations per field
00.5×7.6×
Masakazu Oyama · 1×
Citations per year

Countries citing papers authored by Don Jones

Since Specialization
Citations

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

Fields of papers citing papers by Don Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Don Jones, 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 Don Jones Line = papers co-authored together Don Jones links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 198368
2 199661
3 198946
4 200241
5 200340
6 200338
7 200115
8 199313
9 199511
10 199211

About Don Jones

Don Jones is a scholar working on Aging, Molecular Biology, Physiology, Electrical and Electronic Engineering and Physical and Theoretical Chemistry, having authored 10 papers that have together received 344 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Electrical and Bioimpedance Tomography (3 papers), Mitochondrial Function and Pathology (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Spaceflight effects on biology (2 papers), CRISPR and Genetic Engineering (2 papers), thermodynamics and calorimetric analyses (2 papers) and Body Composition Measurement Techniques (1 paper). The work is most often cited by research in Aging (122 citations), Physiology (66 citations), Molecular Biology (157 citations), Physical and Theoretical Chemistry (18 citations) and Biophysics (11 citations). Don Jones has collaborated with scholars based in Canada, United Kingdom and Germany. Frequent co-authors include E. Peter M. Candido, R. H. Smallwood, D. Rodney Hose, Brian Brown, Roger W. Graham, Roland Russnak, Dawn Walker, Clare Daniells, Adam Dawe and David I. de Pomerai. Their work appears in journals such as Molecular and Cellular Biology, Physiological Measurement, Developmental Biology, Gene and Trends in biotechnology.

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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