Stephen W. Young
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
-
- Neuropeptides and Animal Physiology
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 4
- Receptor Mechanisms and Signaling 3
- Oncology 11
- Cancer Immunotherapy and Biomarkers 5
- Cancer-related Molecular Pathways 2
- Co-authors
- Jeremy M. Tavaré (3 shared papers)Martin Dickens (2 shared papers)David O. Davis (1 shared paper)Rafael G. da Silva (1 shared paper)Shou-Hua Xiao (5 shared papers)Amber Pham (1 shared paper)Xiaoning Zhao (3 shared papers)Andrew P. Halestrap (1 shared paper)
- Journals
- Cancer Research (4 papers)Analytical Biochemistry (4 papers)FEBS Letters (3 papers)Assay and Drug Development Technologies (2 papers)SLAS DISCOVERY (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Stephen W. Young
26 papers receiving 478 citations
Peers
Comparison fields: 5 of 78
- Physiology 74
- Cellular and Molecular Neuroscience 98
- Molecular Biology 296
- Neurology 31
- Oncology 55
Countries citing papers authored by Stephen W. Young
This map shows the geographic impact of Stephen W. Young'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 Stephen W. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen W. Young more than expected).
Fields of papers citing papers by Stephen W. Young
This network shows the impact of papers produced by Stephen W. Young. 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 Stephen W. Young. The network helps show where Stephen W. Young may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen W. Young, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 117 | |
| 2 | 2008 | 58 | |
| 3 | 1981 | 52 | |
| 4 | 1993 | 50 | |
| 5 | 2019 | 41 | |
| 6 | 2006 | 33 | |
| 7 | 2008 | 27 | |
| 8 | 2021 | 27 | |
| 9 | 2003 | 22 | |
| 10 | 1996 | 19 | |
| 11 | 2003 | 14 | |
| 12 | 2007 | 8 | |
| 13 | 2011 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2019 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2003 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2008 | 2 | |
| 20 | 2020 | 1 |
About Stephen W. Young
Stephen W. Young is a scholar working on Molecular Biology, Oncology, Physiology, Organic Chemistry and Immunology, having authored 27 papers that have together received 496 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Click Chemistry and Applications (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Receptor Mechanisms and Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Research and Treatments (3 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Physiology (74 citations), Cellular and Molecular Neuroscience (98 citations), Molecular Biology (296 citations), Neurology (31 citations) and Oncology (55 citations). Stephen W. Young has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jeremy M. Tavaré, Martin Dickens, David O. Davis, Rafael G. da Silva, Shou-Hua Xiao, Amber Pham, Xiaoning Zhao, Andrew P. Halestrap, R C Poole and Alan T. Hudson. Their work appears in journals such as Cancer Research, Analytical Biochemistry, FEBS Letters, Assay and Drug Development Technologies and SLAS DISCOVERY.
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.