John Wizeman
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Physiology top 10%
- Calcium signaling and nucleotide metabolism
- Biochemical effects in animals
- Adipose Tissue and Metabolism
Papers in
-
- RNA Research and Splicing 2
- S100 Proteins and Annexins 2
- Single-cell and spatial transcriptomics 1
- Signaling Pathways in Disease 1
- Retinal Development and Disorders 1
- Co-authors
- Michele M. Maxwell (1 shared paper)Luisa Quinti (1 shared paper)Aleksey Kazantsev (1 shared paper)Vanita Chopra (1 shared paper)Allison Amore (1 shared paper)Royce Mohan (5 shared papers)Steven M. Hersch (1 shared paper)James Y. H. Li (1 shared paper)
- Journals
- Glia (1 paper)Human Molecular Genetics (1 paper)Investigative Ophthalmology & Visual Science (1 paper)eLife (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
John Wizeman
8 papers receiving 316 citations
Peers
Comparison fields: 5 of 66
- Geriatrics and Gerontology 118
- Physiology 33
- Developmental Neuroscience 29
- Neurology 48
- Ophthalmology 27
Countries citing papers authored by John Wizeman
This map shows the geographic impact of John Wizeman'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 John Wizeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Wizeman more than expected).
Fields of papers citing papers by John Wizeman
This network shows the impact of papers produced by John Wizeman. 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 John Wizeman. The network helps show where John Wizeman may publish in the future.
Co-authors
The 25 scholars most cited alongside John Wizeman, 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 | 2011 | 166 | |
| 2 | 2019 | 56 | |
| 3 | 2013 | 29 | |
| 4 | Early retinal inflammatory biomarkers in the middle cerebral artery occlusion model of ischemic stroke. | 2016 | 25 |
| 5 | Citrullination of glial intermediate filaments is an early response in retinal injury. | 2016 | 19 |
| 6 | 2017 | 14 | |
| 7 | 2017 | 9 | |
| 8 | Induction of Citrullination during Pathological Retinal Gliosis | 2014 | 1 |
About John Wizeman
John Wizeman is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Genetics and Rehabilitation, having authored 8 papers that have together received 319 indexed citations. Recurring topics across this work include RNA Research and Splicing (2 papers), S100 Proteins and Annexins (2 papers), Single-cell and spatial transcriptomics (1 paper), Signaling Pathways in Disease (1 paper), Phytochemicals and Medicinal Plants (1 paper), Retinal Development and Disorders (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Geriatrics and Gerontology (118 citations), Physiology (33 citations), Developmental Neuroscience (29 citations), Neurology (48 citations) and Ophthalmology (27 citations). John Wizeman has collaborated with scholars based in United States and Japan. Frequent co-authors include Michele M. Maxwell, Luisa Quinti, Aleksey Kazantsev, Vanita Chopra, Allison Amore, Royce Mohan, Steven M. Hersch, James Y. H. Li, Qiuxia Guo and Akihito Ishigami. Their work appears in journals such as Glia, Human Molecular Genetics, Investigative Ophthalmology & Visual Science, eLife and Biochemical and Biophysical Research Communications.
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.