Stephen W. Young

854 total citations
27 papers, 486 citations indexed

About

Stephen W. Young is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Stephen W. Young has authored 27 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Oncology and 7 papers in Physiology. Recurrent topics in Stephen W. Young's work include Adenosine and Purinergic Signaling (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Click Chemistry and Applications (4 papers). Stephen W. Young is often cited by papers focused on Adenosine and Purinergic Signaling (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Click Chemistry and Applications (4 papers). Stephen W. Young collaborates with scholars based in United States, United Kingdom and Canada. Stephen W. Young's co-authors include Jeremy M. Tavaré, Martin Dickens, David O. Davis, Xiaoning Zhao, Shou-Hua Xiao, Rafael G. da Silva, Amber Pham, R C Poole, Alan T. Hudson and Richard M. Denton and has published in prestigious journals such as The Journal of Immunology, Biochemistry and Cancer Research.

In The Last Decade

Stephen W. Young

26 papers receiving 467 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen W. Young United States 11 297 107 72 60 41 27 486
Marta Calbet Spain 14 210 0.7× 88 0.8× 57 0.8× 51 0.8× 53 1.3× 23 461
Osamu Kusano‐Arai Japan 13 464 1.6× 154 1.4× 76 1.1× 61 1.0× 57 1.4× 25 644
Jeffrey Klarenbeek Netherlands 13 649 2.2× 143 1.3× 27 0.4× 37 0.6× 47 1.1× 18 874
Sen Ji China 15 506 1.7× 216 2.0× 24 0.3× 40 0.7× 28 0.7× 23 796
Frances B. Wheeler United States 15 314 1.1× 87 0.8× 28 0.4× 54 0.9× 21 0.5× 18 663
Anne Carine Østvold Norway 14 440 1.5× 91 0.9× 22 0.3× 134 2.2× 27 0.7× 22 588
Kayoko Mihara Japan 12 298 1.0× 67 0.6× 104 1.4× 173 2.9× 72 1.8× 19 672
Tobias Heinrich Germany 13 116 0.4× 60 0.6× 21 0.3× 41 0.7× 42 1.0× 19 384
Kely L. Sheldon United States 8 654 2.2× 75 0.7× 15 0.2× 42 0.7× 31 0.8× 15 799
Shivashankar Khanapur Singapore 12 131 0.4× 61 0.6× 107 1.5× 57 0.9× 41 1.0× 27 324

Countries citing papers authored by Stephen W. Young

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Stephen W. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen W. Young. A scholar is included among the top collaborators of Stephen W. Young 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 Stephen W. Young. Stephen W. Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jin, Ke, et al.. (2022). Abstract B08: AB598, a therapeutic anti-CD39 antibody, elevates ATP and increases immunogenicity in the tumor microenvironment. Cancer Immunology Research. 10(12_Supplement). B08–B08. 1 indexed citations
2.
Sharif, Ehesan U., Jarosław Kalisiak, Kenneth V. Lawson, et al.. (2021). Discovery of Potent and Selective Methylenephosphonic Acid CD73 Inhibitors. Journal of Medicinal Chemistry. 64(1). 845–860. 26 indexed citations
3.
Lawson, Kenneth V., Artur K. Mailyan, Joel W. Beatty, et al.. (2021). Abstract 1206: Discovery and characterization of AB521, a novel, potent, and selective hypoxia-inducible factor (HIF)-2α inhibitor. Cancer Research. 81(13_Supplement). 1206–1206. 3 indexed citations
4.
Miles, Dillon H., Manmohan R. Leleti, Xiao‐Fan Zhao, et al.. (2020). Discovery and characterization of potent and selective AXL receptor tyrosine kinase inhibitors for cancer therapy. European Journal of Cancer. 138. S38–S39. 1 indexed citations
5.
Silva, Rafael G. da, et al.. (2019). An Exceptionally Potent Inhibitor of Human CD73. Biochemistry. 58(31). 3331–3334. 38 indexed citations
6.
Udyavar, Akshata R., Daniel DiRenzo, Devika Ashok, et al.. (2019). Abstract 4980: Altered pan-Ras pathway and activating mutations in EGFR result in elevated CD73 in multiple cancers. Cancer Research. 79(13_Supplement). 4980–4980. 3 indexed citations
7.
Chen, Yu, Manmohan R. Leleti, Jie Chen, et al.. (2019). Abstract 3862: AB474, a potent orally bioavailable inhibitor of arginase, for the treatment of cancer. 3862–3862. 1 indexed citations
8.
Udyavar, Akshata R., Daniel DiRenzo, Devika Ashok, et al.. (2019). Abstract 4980: Altered pan-Ras pathway and activating mutations in EGFR result in elevated CD73 in multiple cancers. Immunology. 4980–4980. 1 indexed citations
9.
Lo, Mei-Chu, Kang Dai, Cong Li, et al.. (2011). Development of a time-resolved fluorescence resonance energy transfer assay for cyclin-dependent kinase 4 and identification of its ATP-noncompetitive inhibitors. Analytical Biochemistry. 421(2). 368–377. 5 indexed citations
10.
Zhao, Xiaoning, Keith R. Olson, Kun Peng, et al.. (2008). A Homogeneous Enzyme Fragment Complementation-Based β-Arrestin Translocation Assay for High-Throughput Screening of G-Protein-Coupled Receptors. SLAS DISCOVERY. 13(8). 737–747. 56 indexed citations
11.
Lo, Mei-Chu, Minghan Wang, Ki Won Kim, et al.. (2008). A highly sensitive high-throughput luminescence assay for malonyl-CoA decarboxylase. Analytical Biochemistry. 376(1). 122–130. 2 indexed citations
12.
Xiao, Shou-Hua, Jeff D. Reagan, Paul H. Lee, et al.. (2008). High Throughput Screening for Orphan and Liganded GPCRs. Combinatorial Chemistry & High Throughput Screening. 11(3). 195–215. 27 indexed citations
13.
Xiao, Shou-Hua, Ellyn Farrelly, John V. Anzola, et al.. (2007). An ultrasensitive high-throughput electrochemiluminescence immunoassay for the Cdc42-associated protein tyrosine kinase ACK1. Analytical Biochemistry. 367(2). 179–189. 8 indexed citations
15.
Gao, Xiong, et al.. (2003). Development of a High Throughput Time-Resolved Fluorescence Resonance Energy Transfer Assay for TRAF6 Ubiquitin Polymerization. Assay and Drug Development Technologies. 1(2). 175–180. 2 indexed citations
16.
Gao, Xiong, et al.. (2003). Development of a High Throughput Time-Resolved Fluorescence Resonance Energy Transfer Assay for TRAF6 Ubiquitin Polymerization. Assay and Drug Development Technologies. 1(supplement 2). 175–180. 22 indexed citations
17.
Young, Stephen W., et al.. (2003). A Generic High-Throughput Screening Assay for Kinases: Protein Kinase A as an Example. SLAS DISCOVERY. 8(2). 198–204. 14 indexed citations
18.
Young, Stephen W., Martin Dickens, & Jeremy M. Tavaré. (1996). Activation of mitogen‐activated protein kinase by protein kinase C isotypes α, βI and γ, but not ϵ. FEBS Letters. 384(2). 181–184. 19 indexed citations
19.
Young, Stephen W., Martin Dickens, & Jeremy M. Tavaré. (1994). Differentiation of PC12 cells in response to a cAMP analogue is accompanied by sustained activation of mitogen‐activated protein kinase. FEBS Letters. 338(2). 212–216. 117 indexed citations
20.
Young, Stephen W., R C Poole, Alan T. Hudson, et al.. (1993). Effects of tyrosine kinase inhibitors on protein kinase‐independent systems. FEBS Letters. 316(3). 278–282. 50 indexed citations

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.

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