Samuel A. Kotler
- Molecular Biology top 10%
- Physiology top 2%
- Biomaterials top 5%
- Computational Theory and Mathematics top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Ayyalusamy RamamoorthyJeffrey BrenderP.J. WalshDong-Kuk LeeMichele F. M. SciaccaJC ChenAnirban BhuniaRuth Nussinov
- Topics
- Alzheimer's disease research and treatments (13 papers)Lipid Membrane Structure and Behavior (6 papers)Protein Structure and Dynamics (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyChemical Society Reviews
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Samuel A. Kotler
18 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 924
- Physiology 908
- Biomaterials 293
- Computational Theory and Mathematics 166
- Cellular and Molecular Neuroscience 138
Countries citing papers authored by Samuel A. Kotler
This map shows the geographic impact of Samuel A. Kotler'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 Samuel A. Kotler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel A. Kotler more than expected).
Fields of papers citing papers by Samuel A. Kotler
This network shows the impact of papers produced by Samuel A. Kotler. 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 Samuel A. Kotler. The network helps show where Samuel A. Kotler may publish in the future.
Co-authorship network of co-authors of Samuel A. Kotler
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel A. Kotler. A scholar is included among the top collaborators of Samuel A. Kotler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel A. Kotler. Samuel A. Kotler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 7 | |
| 3 | 10 | |
| 4 | 46 | |
| 5 | 62 | |
| 6 | 83 | |
| 7 | 37 | |
| 8 | 9 | |
| 9 | 32 | |
| 10 | 97 | |
| 11 | 55 | |
| 12 | Differences between amyloid-β aggregation in solution and on the membrane: insights into elucidation of the mechanistic details of Alzheimer's diseasebreakdown → | 335 |
| 13 | 57 | |
| 14 | 2 | |
| 15 | 329 | |
| 16 | 105 | |
| 17 | 35 | |
| 18 | 49 |
About Samuel A. Kotler
Samuel A. Kotler is a scholar working on Physiology, Biomaterials and Biophysics, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), Lipid Membrane Structure and Behavior (6 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Physiology (908 citations), Biomaterials (293 citations) and Molecular Biology (924 citations). Samuel A. Kotler has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Ayyalusamy Ramamoorthy, Jeffrey Brender, P.J. Walsh, Dong-Kuk Lee, Michele F. M. Sciacca, JC Chen, Anirban Bhunia, Ruth Nussinov, Ratnesh Lal and Hyunbum Jang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.
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.