R. John Mayer

15.7k citations
243 papers · 12.5k indexed · 2 hit papers · h-index 57

Impact in

  • Neurology top 0.5%
    • Parkinson's Disease Mechanisms and Treatments
  • Cell Biology top 0.5%
    • Endoplasmic Reticulum Stress and Disease

Papers in

R. John Mayer

239 papers receiving 12.0k citations

Hit Papers

Ubiquitin and ubiquitin-like proteins as multifunctional signals 2005 · 654 citations
65419972026200620164008001.2k

Peers

R. John Mayer
Comparison fields: 5 of 159
  • Neurology 870
  • Cell Biology 1.7k
  • Hematology 1.1k
  • Oncology 2.6k
  • Molecular Biology 6.2k
Replace Peter J. Davies with:
Peter J. Davies United States
Keiichi I. Nakayama Japan
Shigeo Yoshida Japan
Paul P. Van Veldhoven Belgium
David W. M. Leung New Zealand
Joseph R. Williamson United States
Yingmei Zhang China
Sharad Kumar Australia
David Dinsdale United Kingdom
Akira Kikuchi Japan
R. John Mayer relative to Peter J. Davies United States Peter J. Davies's profile →
Citations per field
00.5×2.9×
Peter J. Davies · 1×
Citations per year

Countries citing papers authored by R. John Mayer

Since Specialization
Citations

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

Fields of papers citing papers by R. John Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202082
3 201218
4
The ubiquitin-proteasome system and disease
20081
5 200735
6
Ubiquitin and the chemistry of life
20056
7 200123
8 199930
9 1996158
10 19951
11
Heat shock proteins in the nervous system
199475
12
Intracellular protein degradation
199216
13 198920
14 1988457
15 198745
16 198788
17 1986173
18 198666
19 1986290
20 198685

About R. John Mayer

R. John Mayer is a scholar working on Cell Biology, Clinical Biochemistry, Molecular Biology, Neurology and Hematology, having authored 243 papers that have together received 12.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (61 papers), Endoplasmic Reticulum Stress and Disease (20 papers), Autophagy in Disease and Therapy (18 papers), Neurological diseases and metabolism (17 papers), Acute Myeloid Leukemia Research (16 papers), Mitochondrial Function and Pathology (16 papers), Metabolism and Genetic Disorders (16 papers) and Prion Diseases and Protein Misfolding (15 papers). The work is most often cited by research in Neurology (870 citations), Cell Biology (1.7k citations), Hematology (1.1k citations), Oncology (2.6k citations) and Molecular Biology (6.2k citations). R. John Mayer has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include James Lowe, Michael Landon, Ram C. Dalal, Rebecca Welchman, Colin Gordon, Graham Lennox, Lynn Bedford, F J Doherty, Ken Morrell and Simon Dawson. Their work appears in journals such as Biochemical Journal, Biochemical Society Transactions, Blood, FEBS Letters and The Journal of Pathology.

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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