Michael Bula
Impact in
- Neurology top 5%
- Barrier Structure and Function Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
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- Barrier Structure and Function Studies 2
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- Alzheimer's disease research and treatments 3
- Co-authors
- Li‐Huei Tsai (2 shared papers)Tak Ko (1 shared paper)José Dávila-Velderrain (1 shared paper)Leyla Anne Akay (1 shared paper)Julia Maeve Bonner (1 shared paper)Matheus B. Victor (1 shared paper)Yuan-Ta Lin (1 shared paper)David A. A Bennett (1 shared paper)
- Journals
- Nature Medicine (1 paper)Molecular Psychiatry (1 paper)Advanced Science (1 paper)Nature (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Michael Bula
8 papers receiving 611 citations
Michael Bula's Hit Papers
Peers
Comparison fields: 5 of 56
- Neurology 177
- Physiology 274
- Developmental Neuroscience 34
- Psychiatry and Mental health 57
- Aging 5
Countries citing papers authored by Michael Bula
This map shows the geographic impact of Michael Bula'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 Bula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Bula more than expected).
Fields of papers citing papers by Michael Bula
This network shows the impact of papers produced by Michael Bula. 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 Bula. The network helps show where Michael Bula may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Bula, 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 | APOE4 impairs myelination via cholesterol dysregulation in oligodendrocytes Hit paper breakdown → | 2022 | 344 |
| 2 | 2020 | 218 | |
| 3 | 2023 | 42 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 4 | |
| 6 | 2014 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2026 | 1 |
About Michael Bula
Michael Bula is a scholar working on Neurology, Physiology, Rehabilitation, Spectroscopy and Oncology, having authored 8 papers that have together received 624 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Barrier Structure and Function Studies (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Bioinformatics and Genomic Networks (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Cancer-related Molecular Pathways (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Prosthetics and Rehabilitation Robotics (1 paper). The work is most often cited by research in Neurology (177 citations), Physiology (274 citations), Developmental Neuroscience (34 citations), Psychiatry and Mental health (57 citations) and Aging (5 citations). Michael Bula has collaborated with scholars based in United States and South Korea. Frequent co-authors include Li‐Huei Tsai, Tak Ko, José Dávila-Velderrain, Leyla Anne Akay, Julia Maeve Bonner, Matheus B. Victor, Yuan-Ta Lin, David A. A Bennett, Joel Blanchard and Hugh P. Cam. Their work appears in journals such as Nature Medicine, Molecular Psychiatry, Advanced Science, Nature and Molecular & Cellular Proteomics.
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.