Jonathan R. Mayers

1.2k citations
13 papers · 645 · h-index 10

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Microtubule and mitosis dynamics

Papers in

    • Cellular transport and secretion 9
    • Microtubule and mitosis dynamics 3
    • Endoplasmic Reticulum Stress and Disease 2
    • Lipid Membrane Structure and Behavior 5
    • Photosynthetic Processes and Mechanisms 2

Jonathan R. Mayers

13 papers receiving 642 citations

Peers

Jonathan R. Mayers
Comparison fields: 5 of 77
  • Aging 163
  • Cell Biology 291
  • Molecular Biology 433
  • Physiology 17
  • Endocrine and Autonomic Systems 24
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Heidi N. Fridolfsson United States
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Youli Jian China
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan R. Mayers

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan R. Mayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan R. Mayers. 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 Jonathan R. Mayers. The network helps show where Jonathan R. Mayers may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2011170
2 2011142
3 201072
4 201756
5 201350
6 201348
7 201332
8 201229
9 201519
10 201216
11 20088
12 20092
13 20121

About Jonathan R. Mayers

Jonathan R. Mayers is a scholar working on Cell Biology, Molecular Biology, Physiology, Physiology and Aging, having authored 13 papers that have together received 645 indexed citations. Recurring topics across this work include Cellular transport and secretion (9 papers), Lipid Membrane Structure and Behavior (5 papers), Lysosomal Storage Disorders Research (3 papers), Microtubule and mitosis dynamics (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (163 citations), Cell Biology (291 citations), Molecular Biology (433 citations), Physiology (17 citations) and Endocrine and Autonomic Systems (24 citations). Jonathan R. Mayers has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Anjon Audhya, Amber L. Schuh, Ali Sarkeshik, John R. Yates, K. H. Witte, Sebastian Y. Bednarek, Karen Oegema, Shaohe Wang, Rebecca A. Green and Arshad Desai. Their work appears in journals such as Journal of Biological Chemistry, JBIC Journal of Biological Inorganic Chemistry, The Journal of Cell Biology, Nature Cell Biology and Current Opinion in Plant 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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