Joseph V. Kosmoski
- Physiology top 1%
- Molecular Biology top 5%
- Pharmacology top 2%
- Computational Theory and Mathematics top 2%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Charles GlabeBrian SoreghanCarl W. CotmanMary F. KnauerDebra BurdickDavid H. CribbsChristian J. PikeJohn R. Yates
- Topics
- Alzheimer's disease research and treatments (5 papers)DNA and Nucleic Acid Chemistry (4 papers)DNA Repair Mechanisms (3 papers)
- Cited by
- PhysiologyNeurologyPharmacology
- Partner nations
- United States
In The Last Decade
Joseph V. Kosmoski
9 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Physiology 1.7k
- Molecular Biology 1.4k
- Pharmacology 390
- Computational Theory and Mathematics 336
- Cellular and Molecular Neuroscience 276
Countries citing papers authored by Joseph V. Kosmoski
This map shows the geographic impact of Joseph V. Kosmoski'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 Joseph V. Kosmoski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph V. Kosmoski more than expected).
Fields of papers citing papers by Joseph V. Kosmoski
This network shows the impact of papers produced by Joseph V. Kosmoski. 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 Joseph V. Kosmoski. The network helps show where Joseph V. Kosmoski may publish in the future.
Co-authorship network of co-authors of Joseph V. Kosmoski
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph V. Kosmoski. A scholar is included among the top collaborators of Joseph V. Kosmoski 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 Joseph V. Kosmoski. Joseph V. Kosmoski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 40 | |
| 3 | 237 | |
| 4 | 43 | |
| 5 | 103 | |
| 6 | Structure‐Activity Analyses of β‐Amyloid Peptides: Contributions of the β25–35 Region to Aggregation and Neurotoxicitybreakdown → | 626 |
| 7 | 236 | |
| 8 | Assembly and aggregation properties of synthetic Alzheimer's A4/beta amyloid peptide analogs.breakdown → | 860 |
| 9 | 198 |
About Joseph V. Kosmoski
Joseph V. Kosmoski is a scholar working on Physiology, Biomaterials and Computational Theory and Mathematics, having authored 9 papers that have together received 2.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), DNA and Nucleic Acid Chemistry (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Physiology (1.7k citations), Neurology (208 citations) and Pharmacology (390 citations). Joseph V. Kosmoski has collaborated with scholars based in United States. Frequent co-authors include Charles Glabe, Brian Soreghan, Carl W. Cotman, Mary F. Knauer, Debra Burdick, David H. Cribbs, Christian J. Pike, John R. Yates, C.G. Glabe and Agnes Henschen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.
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.