Andrew D. Mathis
Impact in
-
- Metabolomics and Mass Spectrometry Studies
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
- Heat shock proteins research
- Metabolism, Diabetes, and Cancer
Papers in
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- Ubiquitin and proteasome pathways 2
- Fungal and yeast genetics research 2
- Metabolism, Diabetes, and Cancer 2
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 2
- Heat shock proteins research 1
- Co-authors
- John T. Prince (5 shared papers)Rob Smith (1 shared paper)Dan Ventura (1 shared paper)Julianne H. Grose (3 shared papers)Joshua L. Andersen (1 shared paper)Vajira Weeresekara (1 shared paper)David Broadbent (1 shared paper)David M. Thomson (1 shared paper)
- Journals
- Molecular Biology of the Cell (2 papers)Molecular & Cellular Proteomics (1 paper)Journal of Virology (1 paper)Cell Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Andrew D. Mathis
11 papers receiving 396 citations
Peers
Comparison fields: 5 of 79
- Aging 15
- Molecular Biology 289
- Structural Biology 5
- Cell Biology 49
- Physiology 12
Countries citing papers authored by Andrew D. Mathis
This map shows the geographic impact of Andrew D. Mathis'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 Andrew D. Mathis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew D. Mathis more than expected).
Fields of papers citing papers by Andrew D. Mathis
This network shows the impact of papers produced by Andrew D. Mathis. 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 Andrew D. Mathis. The network helps show where Andrew D. Mathis may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew D. Mathis, 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 | 2014 | 99 | |
| 2 | 2016 | 68 | |
| 3 | 2014 | 60 | |
| 4 | 2014 | 43 | |
| 5 | 2015 | 40 | |
| 6 | 2014 | 29 | |
| 7 | 2019 | 28 | |
| 8 | 2020 | 19 | |
| 9 | 2014 | 12 | |
| 10 | [Fluid-air exchange]. | 1992 | 2 |
| 11 | A New Suceptibility Locus of Familial High Myopia on Chromosome 7p15.3 | 2005 | 1 |
| 12 | 2005 | 0 |
About Andrew D. Mathis
Andrew D. Mathis is a scholar working on Molecular Biology, Neurology, Ecology, Ophthalmology and Epidemiology, having authored 12 papers that have together received 401 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Fungal and yeast genetics research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), RNA modifications and cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), Ophthalmology and Visual Impairment Studies (1 paper), Heat shock proteins research (1 paper) and Retinal and Optic Conditions (1 paper). The work is most often cited by research in Aging (15 citations), Molecular Biology (289 citations), Structural Biology (5 citations), Cell Biology (49 citations) and Physiology (12 citations). Andrew D. Mathis has collaborated with scholars based in United States, France and Australia. Frequent co-authors include John T. Prince, Rob Smith, Dan Ventura, Julianne H. Grose, Joshua L. Andersen, Vajira Weeresekara, David Broadbent, David M. Thomson, J. Will Thompson and Kimberly A. Reynolds. Their work appears in journals such as Molecular Biology of the Cell, Molecular & Cellular Proteomics, Journal of Virology, Cell Reports and Proceedings of the National Academy of Sciences.
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.