W. Saul
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Receptor Mechanisms and Signaling 2
-
- Drug-Induced Hepatotoxicity and Protection 3
- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Harriet M. Maling (10 shared papers)Michael A. Beaven (2 shared papers)J R Cunha-Melo (1 shared paper)Hydar Ali (1 shared paper)I.G. Sipes (2 shared papers)Marion E. Webster (1 shared paper)William Anderson (1 shared paper)Benjamin Highman (2 shared papers)
- Journals
- Toxicology and Applied Pharmacology (3 papers)Biochemical Pharmacology (3 papers)Journal of Pharmacology and Experimental Therapeutics (3 papers)Journal of Biological Chemistry (2 papers)Pharmacology (2 papers)
- Partner nations
- United StatesSweden
In The Last Decade
W. Saul
13 papers receiving 553 citations
Peers
Comparison fields: 5 of 78
- Physiology 99
- Pharmacology 140
- Cellular and Molecular Neuroscience 95
- Immunology 95
- Biochemistry 30
Countries citing papers authored by W. Saul
This map shows the geographic impact of W. Saul'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 W. Saul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Saul more than expected).
Fields of papers citing papers by W. Saul
This network shows the impact of papers produced by W. Saul. 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 W. Saul. The network helps show where W. Saul may publish in the future.
Co-authors
The 18 scholars most cited alongside W. Saul, 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 | 1990 | 166 | |
| 2 | 1974 | 104 | |
| 3 | 1975 | 99 | |
| 4 | 1974 | 53 | |
| 5 | 1971 | 42 | |
| 6 | 1987 | 39 | |
| 7 | 1987 | 24 | |
| 8 | 1978 | 14 | |
| 9 | 1974 | 13 | |
| 10 | 1970 | 9 | |
| 11 | 1978 | 8 | |
| 12 | 1979 | 7 | |
| 13 | 2008 | 1 | |
| 14 | 2008 | 0 |
About W. Saul
W. Saul is a scholar working on Molecular Biology, Pharmacology, Small Animals, Clinical Biochemistry and Pharmacology, having authored 14 papers that have together received 579 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Receptor Mechanisms and Signaling (2 papers), Mast cells and histamine (2 papers), Poisoning and overdose treatments (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Physiology (99 citations), Pharmacology (140 citations), Cellular and Molecular Neuroscience (95 citations), Immunology (95 citations) and Biochemistry (30 citations). W. Saul has collaborated with scholars based in United States and Sweden. Frequent co-authors include Harriet M. Maling, Michael A. Beaven, J R Cunha-Melo, Hydar Ali, I.G. Sipes, Marion E. Webster, William Anderson, Benjamin Highman, Barry R. Stripp and Jerome H. Fleisch. Their work appears in journals such as Toxicology and Applied Pharmacology, Biochemical Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Journal of Biological Chemistry and Pharmacology.
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.