Stephen C. Meredith
Impact in
- Physiology top 0.5%
- Alzheimer's disease research and treatments
- Biomaterials top 0.5%
- Supramolecular Self-Assembly in Materials
Papers in
- Biomaterials 22
- Supramolecular Self-Assembly in Materials 20
- Physiology 41
- Alzheimer's disease research and treatments 39
- Co-authors
- Robert L. HeinriksonRobert TyckoDavid J. GordonDavid G. LynnKimberly L. SciarrettaJunxia LuWai‐Ming YauWei Qiang
- Journals
- Biochemistry (17 papers)Journal of Biological Chemistry (11 papers)Journal of the American Chemical Society (8 papers)Analytical Biochemistry (6 papers)The Journal of Immunology (4 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Stephen C. Meredith
110 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Physiology 3.2k
- Biomaterials 1.3k
- Molecular Biology 4.8k
- Spectroscopy 884
- Immunology 1.0k
Countries citing papers authored by Stephen C. Meredith
This map shows the geographic impact of Stephen C. Meredith'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 Stephen C. Meredith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen C. Meredith more than expected).
Fields of papers citing papers by Stephen C. Meredith
This network shows the impact of papers produced by Stephen C. Meredith. 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 Stephen C. Meredith. The network helps show where Stephen C. Meredith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen C. Meredith, 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 | 2021 | 1 | |
| 2 | 2021 | 10 | |
| 3 | 2019 | 25 | |
| 4 | 2019 | 2 | |
| 5 | 2015 | 10 | |
| 6 | 2013 | 7 | |
| 7 | 2013 | 121 | |
| 8 | Molecular Structure of β-Amyloid Fibrils in Alzheimer’s Disease Brain Tissue Hit paper breakdown → | 2013 | 928 |
| 9 | 2010 | 90 | |
| 10 | 2006 | 125 | |
| 11 | 2006 | 130 | |
| 12 | 2006 | 104 | |
| 13 | 2004 | 101 | |
| 14 | 2002 | 268 | |
| 15 | 2001 | 14 | |
| 16 | 2000 | 14 | |
| 17 | 1998 | 3 | |
| 18 | 1997 | 19 | |
| 19 | 1988 | 7 | |
| 20 | 1988 | 13 |
About Stephen C. Meredith
Stephen C. Meredith is a scholar working on Biomaterials, Physiology, Spectroscopy, Molecular Biology and Immunology, having authored 110 papers that have together received 8.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (39 papers), Protein Structure and Dynamics (20 papers), Supramolecular Self-Assembly in Materials (20 papers), Advanced NMR Techniques and Applications (13 papers), Immunotherapy and Immune Responses (10 papers), Glycosylation and Glycoproteins Research (9 papers), Chemical Synthesis and Analysis (7 papers) and Lipid Membrane Structure and Behavior (7 papers). The work is most often cited by research in Physiology (3.2k citations), Biomaterials (1.3k citations), Molecular Biology (4.8k citations), Spectroscopy (884 citations) and Immunology (1.0k citations). Stephen C. Meredith has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Robert L. Heinrikson, Robert Tycko, David J. Gordon, David G. Lynn, Kimberly L. Sciarretta, Junxia Lu, Wai‐Ming Yau, Wei Qiang, Charles D. Schwieters and Timothy S. Burkoth. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Journal of the American Chemical Society, Analytical Biochemistry and The Journal of Immunology.
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.