Brian Michael

1.0k citations
9 papers · 813 · 1 hit paper · h-index 8

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
  • Biomaterials top 10%
    • Supramolecular Self-Assembly in Materials

Papers in

    • Alzheimer's disease research and treatments 5
    • Protein Structure and Dynamics 2
    • Amyloidosis: Diagnosis, Treatment, Outcomes 2

Brian Michael

9 papers receiving 812 citations

Brian Michael's Hit Papers

Atomic Resolution Structure of Monomorphic Aβ42 Amyloid Fibrils 2016 · 679 citations
6790+3+6Years since publication200400600

Peers

Brian Michael
Comparison fields: 5 of 76
  • Physiology 536
  • Biomaterials 157
  • Spectroscopy 180
  • Computational Theory and Mathematics 119
  • Molecular Biology 487
Replace Francesco Ravotti with:
Francesco Ravotti Switzerland
P.J. Walsh Canada
Yiling Xiao United States
Kurt J. Halverson United States
C. Schenk Germany
Elke Reinartz Germany
Sudhakar Parthasarathy United States
Samuel A. Kotler United States
Markus Tusche Germany
Muralidhar Dasari India
Brian Michael relative to Francesco Ravotti Switzerland Francesco Ravotti's profile →
Citations per field
00.5×1.6×
Francesco Ravotti · 1×
Citations per year

Countries citing papers authored by Brian Michael

Since Specialization
Citations

This map shows the geographic impact of Brian Michael'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 Brian Michael with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Michael more than expected).

Fields of papers citing papers by Brian Michael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Michael. 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 Brian Michael. The network helps show where Brian Michael may publish in the future.

Co-authors

The 25 scholars most cited alongside Brian Michael, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Michael Line = papers co-authored together Brian Michael links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Atomic Resolution Structure of Monomorphic Aβ42 Amyloid Fibrils
Hit paper breakdown →
2016679
2 202131
3 202128
4 201524
5 202018
6 202110
7 202010
8 202310
9 20243

About Brian Michael

Brian Michael is a scholar working on Physiology, Molecular Biology, Spectroscopy, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 9 papers that have together received 813 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Advanced NMR Techniques and Applications (4 papers), Advanced MRI Techniques and Applications (2 papers), Protein Structure and Dynamics (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), NMR spectroscopy and applications (1 paper), Neurological disorders and treatments (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Physiology (536 citations), Biomaterials (157 citations), Spectroscopy (180 citations), Computational Theory and Mathematics (119 citations) and Molecular Biology (487 citations). Brian Michael has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Robert G. Griffin, Robert Silvers, Sara Linse, Michael T. Colvin, Joseph S. Wall, K. J. Donovan, Mélanie Rosay, Thach V. Can, Qing Zhe Ni and Ivan V. Sergeyev. Their work appears in journals such as Biochemistry, Journal of Magnetic Resonance, Biochemical and Biophysical Research Communications, Journal of the American Chemical Society 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.

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