Michael Vigers
Impact in
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- Alzheimer's disease research and treatments
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- Prion Diseases and Protein Misfolding
- RNA Research and Splicing
- Protein Structure and Dynamics
- RNA modifications and cancer
Papers in
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- Receptor Mechanisms and Signaling 2
- Prion Diseases and Protein Misfolding 1
- Signaling Pathways in Disease 1
- Genomics and Chromatin Dynamics 1
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- Supramolecular Self-Assembly in Materials 3
- Co-authors
- Songi Han (8 shared papers)Yann Fichou (3 shared papers)Kenneth S. Kosik (4 shared papers)Jennifer N. Rauch (2 shared papers)Neil A. Eschmann (1 shared paper)Madhur Srivastava (1 shared paper)Joan‐Emma Shea (2 shared papers)Xuemei Zhang (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Chemical Communications (1 paper)The Journal of Physical Chemistry B (1 paper)The Journal of Cell Biology (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United StatesFranceBrazil
In The Last Decade
Michael Vigers
8 papers receiving 269 citations
Peers
Comparison fields: 5 of 48
- Physiology 150
- Molecular Biology 198
- Neurology 22
- Cell Biology 39
- Biochemistry 14
Countries citing papers authored by Michael Vigers
This map shows the geographic impact of Michael Vigers'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 Michael Vigers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Vigers more than expected).
Fields of papers citing papers by Michael Vigers
This network shows the impact of papers produced by Michael Vigers. 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 Michael Vigers. The network helps show where Michael Vigers may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Vigers, 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 | 2018 | 93 | |
| 2 | 2020 | 82 | |
| 3 | 2018 | 71 | |
| 4 | 2021 | 10 | |
| 5 | 2024 | 7 | |
| 6 | 2022 | 4 | |
| 7 | 2025 | 1 | |
| 8 | 2021 | 1 |
About Michael Vigers
Michael Vigers is a scholar working on Molecular Biology, Biomaterials, Physiology, Physiology and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 269 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Adenosine and Purinergic Signaling (2 papers), Receptor Mechanisms and Signaling (2 papers), Prion Diseases and Protein Misfolding (1 paper), Electron Spin Resonance Studies (1 paper), Signaling Pathways in Disease (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Physiology (150 citations), Molecular Biology (198 citations), Neurology (22 citations), Cell Biology (39 citations) and Biochemistry (14 citations). Michael Vigers has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Songi Han, Yann Fichou, Kenneth S. Kosik, Jennifer N. Rauch, Neil A. Eschmann, Madhur Srivastava, Joan‐Emma Shea, Xuemei Zhang, Yanxian Lin and James McCarty. Their work appears in journals such as Proceedings of the National Academy of Sciences, Chemical Communications, The Journal of Physical Chemistry B, The Journal of Cell Biology and Biophysical Journal.
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.