P.A. Wals
Impact in
- Physiology top 0.5%
- Alzheimer's disease research and treatments
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Metabolism and Genetic Disorders 12
- Physiology 16
- Diet and metabolism studies 8
- Adipose Tissue and Metabolism 5
- Co-authors
- Joseph KatzIrina RozovskyTodd E. MorganCaleb E. FinchGrant A. KrafftBarbara L. TrommerBrett A. ChromyKirsten L. Viola
- Journals
- Journal of Biological Chemistry (10 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Neurochemistry (3 papers)Journal of Cellular Biochemistry (2 papers)Biochemical Journal (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
P.A. Wals
37 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Physiology 3.3k
- Neurology 496
- Clinical Biochemistry 385
- Biological Psychiatry 119
- Cellular and Molecular Neuroscience 797
Countries citing papers authored by P.A. Wals
This map shows the geographic impact of P.A. Wals'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 P.A. Wals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.A. Wals more than expected).
Fields of papers citing papers by P.A. Wals
This network shows the impact of papers produced by P.A. Wals. 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 P.A. Wals. The network helps show where P.A. Wals may publish in the future.
Co-authorship network
The 25 scholars most cited alongside P.A. Wals, 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 | 2005 | 44 | |
| 2 | 1999 | 67 | |
| 3 | Diffusible, nonfibrillar ligands derived from Aβ 1–42 are potent central nervous system neurotoxins Hit paper breakdown → | 1998 | 2932 |
| 4 | 1997 | 36 | |
| 5 | 1995 | 282 | |
| 6 | 1993 | 4 | |
| 7 | 1993 | 12 | |
| 8 | 1989 | 94 | |
| 9 | 1988 | 21 | |
| 10 | 1985 | 38 | |
| 11 | 1982 | 18 | |
| 12 | 1978 | 93 | |
| 13 | 1977 | 13 | |
| 14 | 1977 | 74 | |
| 15 | 1976 | 8 | |
| 16 | 1976 | 127 | |
| 17 | 1975 | 99 | |
| 18 | 1975 | 14 | |
| 19 | 1972 | 62 | |
| 20 | 1970 | 32 |
About P.A. Wals
P.A. Wals is a scholar working on Clinical Biochemistry, Physiology, Cancer Research, Biochemistry and Rheumatology, having authored 37 papers that have together received 4.7k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (12 papers), Pancreatic function and diabetes (10 papers), Diet and metabolism studies (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Glycogen Storage Diseases and Myoclonus (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Adipose Tissue and Metabolism (5 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Physiology (3.3k citations), Neurology (496 citations), Clinical Biochemistry (385 citations), Biological Psychiatry (119 citations) and Cellular and Molecular Neuroscience (797 citations). P.A. Wals has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Joseph Katz, Irina Rozovsky, Todd E. Morgan, Caleb E. Finch, Grant A. Krafft, Barbara L. Trommer, Brett A. Chromy, Kirsten L. Viola, Cathryn Edwards and William L. Klein. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Neurochemistry, Journal of Cellular Biochemistry and Biochemical Journal.
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.