Anthony S. Kowal
- Molecular Biology top 2%
- Physiology top 2%
- Cell Biology top 2%
- Neurology top 2%
- Materials Chemistry top 10%
- Co-authors
- Susan LindquistDawn A. ParsellMike A. SingerEric C. SchirmerTricia R. SerioAnil G. CashikarG J SawickiLouise C. Serpell
- Topics
- Prion Diseases and Protein Misfolding (8 papers)Neurological diseases and metabolism (6 papers)Heat shock proteins research (6 papers)
- Cited by
- AgingNeurologyCell Biology
- Partner nations
- United StatesPhilippines
In The Last Decade
Anthony S. Kowal
22 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 2.8k
- Physiology 804
- Cell Biology 727
- Neurology 502
- Materials Chemistry 451
Countries citing papers authored by Anthony S. Kowal
This map shows the geographic impact of Anthony S. Kowal'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 Anthony S. Kowal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony S. Kowal more than expected).
Fields of papers citing papers by Anthony S. Kowal
This network shows the impact of papers produced by Anthony S. Kowal. 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 Anthony S. Kowal. The network helps show where Anthony S. Kowal may publish in the future.
Co-authorship network of co-authors of Anthony S. Kowal
This figure shows the co-authorship network connecting the top 25 collaborators of Anthony S. Kowal. A scholar is included among the top collaborators of Anthony S. Kowal 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 Anthony S. Kowal. Anthony S. Kowal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 4 | |
| 3 | 17 | |
| 4 | 10 | |
| 5 | 185 | |
| 6 | 95 | |
| 7 | 377 | |
| 8 | 64 | |
| 9 | 81 | |
| 10 | 72 | |
| 11 | 8 | |
| 12 | 74 | |
| 13 | Nucleated Conformational Conversion and the Replication of Conformational Information by a Prion Determinantbreakdown → | 793 |
| 14 | 80 | |
| 15 | 100 | |
| 16 | 10 | |
| 17 | Self-Seeded Fibers Formed by Sup35, the Protein Determinant of [PSI+], a Heritable Prion-like Factor of S. cerevisiaebreakdown → | 526 |
| 18 | 18 | |
| 19 | 37 | |
| 20 | Protein disaggregation mediated by heat-shock protein Hspl04breakdown → | 709 |
About Anthony S. Kowal
Anthony S. Kowal is a scholar working on Aging, Neurology and Cell Biology, having authored 22 papers that have together received 3.4k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (8 papers), Neurological diseases and metabolism (6 papers) and Heat shock proteins research (6 papers). The work is most often cited by research in Aging (132 citations), Neurology (502 citations) and Cell Biology (727 citations). Anthony S. Kowal has collaborated with scholars based in United States and Philippines. Frequent co-authors include Susan Lindquist, Dawn A. Parsell, Mike A. Singer, Eric C. Schirmer, Tricia R. Serio, Anil G. Cashikar, G J Sawicki, Louise C. Serpell, Morton F. Arnsdorf and María M. Patiño. Their work appears in journals such as Nature, Science and Cell.
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.