Jonathan RM Millet
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Sensory Systems top 10%
- Ion Channels and Receptors
Papers in
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
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- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 1
- Ion channel regulation and function 1
- Co-authors
- Valeria Vásquez (2 shared papers)Denis Dupuy (2 shared papers)Julio F. Cordero-Morales (1 shared paper)Francisco J. Sierra-Valdez (1 shared paper)Esra Roan (1 shared paper)Rebeca Caires (1 shared paper)Fatiha Tabet (1 shared paper)Aude I. Ségaliny (1 shared paper)
- Journals
- Cell (1 paper)eLife (1 paper)Cell Reports (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Jonathan RM Millet
6 papers receiving 328 citations
Peers
Comparison fields: 5 of 71
- Aging 73
- Sensory Systems 25
- Biochemistry 19
- Endocrinology, Diabetes and Metabolism 40
- Molecular Biology 163
Countries citing papers authored by Jonathan RM Millet
This map shows the geographic impact of Jonathan RM Millet'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 RM Millet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan RM Millet more than expected).
Fields of papers citing papers by Jonathan RM Millet
This network shows the impact of papers produced by Jonathan RM Millet. 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 RM Millet. The network helps show where Jonathan RM Millet may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan RM Millet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 100 | |
| 2 | 2017 | 93 | |
| 3 | 2016 | 72 | |
| 4 | 2017 | 30 | |
| 5 | 2021 | 22 | |
| 6 | Evaluation of the effect of heparin and tetracycline on the cohesion of the dermal-epidermal junction. | 1989 | 13 |
| 7 | 2025 | 0 |
About Jonathan RM Millet
Jonathan RM Millet is a scholar working on Aging, Molecular Biology, Physiology, Pathology and Forensic Medicine and Sociology and Political Science, having authored 7 papers that have together received 330 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), RNA Research and Splicing (2 papers), Erythrocyte Function and Pathophysiology (1 paper), RNA and protein synthesis mechanisms (1 paper), Sodium Intake and Health (1 paper), Ion Channels and Receptors (1 paper), Autoimmune Bullous Skin Diseases (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Aging (73 citations), Sensory Systems (25 citations), Biochemistry (19 citations), Endocrinology, Diabetes and Metabolism (40 citations) and Molecular Biology (163 citations). Jonathan RM Millet has collaborated with scholars based in United States, France and China. Frequent co-authors include Valeria Vásquez, Denis Dupuy, Julio F. Cordero-Morales, Francisco J. Sierra-Valdez, Esra Roan, Rebeca Caires, Fatiha Tabet, Aude I. Ségaliny, Ling Yan and Shirley Nakhla. Their work appears in journals such as Cell, eLife, Cell Reports, Arteriosclerosis Thrombosis and Vascular Biology and Genome Research.
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.