Maxmore Chaibva
Impact in
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- Genetic Neurodegenerative Diseases
- Hereditary Neurological Disorders
Papers in
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- Genetic Neurodegenerative Diseases 8
- Hereditary Neurological Disorders 1
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- Mitochondrial Function and Pathology 8
- Lipid Membrane Structure and Behavior 1
- Protein Structure and Dynamics 1
- Co-authors
- Justin A. Legleiter (10 shared papers)Kathleen A. Burke (2 shared papers)James R. Arndt (4 shared papers)Charles Samuel Umbaugh (1 shared paper)Shelli L. Frey (2 shared papers)Xiang Ming Gao (2 shared papers)Warren A. Campbell (2 shared papers)Stephen J. Valentine (3 shared papers)
- Journals
- Biophysical Journal (3 papers)Biochemistry (3 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)ACS Omega (1 paper)BioMolecular Concepts (1 paper)
- Partner nations
- United States
In The Last Decade
Maxmore Chaibva
10 papers receiving 300 citations
Peers
Comparison fields: 5 of 41
- Cellular and Molecular Neuroscience 229
- Aging 9
- Molecular Biology 260
- Neurology 46
- Cell Biology 45
Countries citing papers authored by Maxmore Chaibva
This map shows the geographic impact of Maxmore Chaibva'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 Maxmore Chaibva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxmore Chaibva more than expected).
Fields of papers citing papers by Maxmore Chaibva
This network shows the impact of papers produced by Maxmore Chaibva. 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 Maxmore Chaibva. The network helps show where Maxmore Chaibva may publish in the future.
Co-authors
The 10 scholars most cited alongside Maxmore Chaibva, 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 | 2013 | 60 | |
| 2 | 2016 | 56 | |
| 3 | 2015 | 50 | |
| 4 | 2014 | 45 | |
| 5 | 2015 | 40 | |
| 6 | 2018 | 33 | |
| 7 | 2019 | 16 | |
| 8 | 2015 | 2 | |
| 9 | 2013 | 1 | |
| 10 | 2015 | 1 |
About Maxmore Chaibva
Maxmore Chaibva is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Structural Biology and Biomaterials, having authored 10 papers that have together received 304 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (8 papers), Mitochondrial Function and Pathology (8 papers), Neurological disorders and treatments (2 papers), Lipid Membrane Structure and Behavior (1 paper), Force Microscopy Techniques and Applications (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper), Hereditary Neurological Disorders (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (229 citations), Aging (9 citations), Molecular Biology (260 citations), Neurology (46 citations) and Cell Biology (45 citations). Maxmore Chaibva has collaborated with scholars based in United States. Frequent co-authors include Justin A. Legleiter, Kathleen A. Burke, James R. Arndt, Charles Samuel Umbaugh, Shelli L. Frey, Xiang Ming Gao, Warren A. Campbell, Stephen J. Valentine, Silvina Matysiak and Sudi Jawahery. Their work appears in journals such as Biophysical Journal, Biochemistry, Biochimica et Biophysica Acta (BBA) - Biomembranes, ACS Omega and BioMolecular Concepts.
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.