Peter W. Gout
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 9
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism 15
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- Growth Hormone and Insulin-like Growth Factors 19
- Oncology top 2%
- Drug Transport and Resistance Mechanisms 11
- Peptidase Inhibition and Analysis 10
- Cancer-related Molecular Pathways 6
- Molecular Biology top 2%
- Epigenetics and DNA Methylation 7
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- Prostate Cancer Treatment and Research 12
Peter W. Gout
98 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cancer Research 1.4k
- Biochemistry 550
- Endocrinology, Diabetes and Metabolism 821
- Oncology 1.3k
- Molecular Biology 3.2k
Countries citing papers authored by Peter W. Gout
This map shows the geographic impact of Peter W. Gout'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 Peter W. Gout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter W. Gout more than expected).
Fields of papers citing papers by Peter W. Gout
This network shows the impact of papers produced by Peter W. Gout. 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 Peter W. Gout. The network helps show where Peter W. Gout may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter W. Gout, 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 | 2019 | 7 | |
| 2 | 2018 | 55 | |
| 3 | 2018 | 14 | |
| 4 | 2016 | 79 | |
| 5 | 2016 | 25 | |
| 6 | 2013 | 30 | |
| 7 | 2011 | 171 | |
| 8 | 2011 | 74 | |
| 9 | 2008 | 172 | |
| 10 | 2008 | 342 | |
| 11 | Sulfasalazine: Potential use of an old drug for treatment of pancreatic cancer | 2006 | 2 |
| 12 | Growth arrest by sulfasalazine (SASP) of subrenal capsule prostate cancer xenografts in immuno-deficient mice is coupled to a decrease in the number of tumor-associated macrophages | 2005 | 1 |
| 13 | Potential use for sulfasalazine in lung cancer therapy | 2004 | 1 |
| 14 | 2004 | 70 | |
| 15 | 2003 | 16 | |
| 16 | 1996 | 3 | |
| 17 | 1990 | 9 | |
| 18 | 1989 | 32 | |
| 19 | 1988 | 13 | |
| 20 | 1987 | 24 |
About Peter W. Gout
Peter W. Gout is a scholar working on Biochemistry, Oncology and Endocrinology, Diabetes and Metabolism, having authored 99 papers that have together received 5.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (19 papers), Amino Acid Enzymes and Metabolism (15 papers), Prostate Cancer Treatment and Research (12 papers), Drug Transport and Resistance Mechanisms (11 papers), Peptidase Inhibition and Analysis (10 papers), Cancer, Hypoxia, and Metabolism (9 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cancer Research (1.4k citations), Biochemistry (550 citations) and Endocrinology, Diabetes and Metabolism (821 citations). Peter W. Gout has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Yuzhuo Wang, Charles T. Beer, R. L. Noble, Maisie Lo, Lígia Morganti, Eric Ueda, Colin C. Collins, Stephen Yiu Chuen Choi, Henry G. Friesen and Robert P. C. Shiu. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology and PLoS ONE.
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.