Paul E. Mains

3.2k citations
52 papers · 2.3k · h-index 27

Impact in

  • Aging top 0.1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 37
    • Microtubule and mitosis dynamics 16

Paul E. Mains

51 papers receiving 2.3k citations

Peers

Paul E. Mains
Comparison fields: 5 of 96
  • Aging 878
  • Cell Biology 835
  • Molecular Biology 1.5k
  • Endocrine and Autonomic Systems 113
  • Genetics 399
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Danielle R. Hamill United States
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Ann M. Rose Canada
Lionel Pintard France
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Citations per field
00.5×2×2.6×
John Yochem · 1×
Citations per year

Countries citing papers authored by Paul E. Mains

Since Specialization
Citations

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

Fields of papers citing papers by Paul E. Mains

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003355
2 1986179
3 1984170
4 1990114
5 2002103
6 1999101
7 199486
8 199480
9 200379
10 200572
11 200363
12 200359
13 200055
14 199853
15 198653
16 199045
17 199943
18 201443
19 201442
20 198342

About Paul E. Mains

Paul E. Mains is a scholar working on Aging, Cell Biology, Molecular Biology, Endocrine and Autonomic Systems and Public Health, Environmental and Occupational Health, having authored 52 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (37 papers), Microtubule and mitosis dynamics (16 papers), Reproductive Biology and Fertility (7 papers), Mitochondrial Function and Pathology (5 papers), Muscle Physiology and Disorders (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Circadian rhythm and melatonin (4 papers). The work is most often cited by research in Aging (878 citations), Cell Biology (835 citations), Molecular Biology (1.5k citations), Endocrine and Autonomic Systems (113 citations) and Genetics (399 citations). Paul E. Mains has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Martin Srayko, Lee M. Silver, Chenggang Lu, Carol Hopkins Sibley, Jacque-Lynne Johnson, Andreas Wissmann, Bernhard G. Herrmann, Hans R. Lehrach, Anna‐Maria Frischauf and Lionel Pintard. Their work appears in journals such as Genetics, Developmental Biology, G3 Genes Genomes Genetics, Molecular Biology of the Cell and The Journal of Cell Biology.

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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