Rod Cupples

4.8k total citations · 3 hit papers
17 papers, 3.0k citations indexed

About

Rod Cupples is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Rod Cupples has authored 17 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Surgery and 3 papers in Oncology. Recurrent topics in Rod Cupples's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Pancreatic function and diabetes (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Rod Cupples is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Pancreatic function and diabetes (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Rod Cupples collaborates with scholars based in United States, Israel and Japan. Rod Cupples's co-authors include Duanzhi Wen, Yi Luo, Sylvia Hu, Bruce W. Altrock, Zheng Hu, Shuqian Jing, Mei Fang, Jean‐Claude Louis, Gary M. Fox and Yanbin Yu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Rod Cupples

17 papers receiving 3.0k citations

Hit Papers

GDNF–Induced Activation of the Ret Protein Tyrosine Kinas... 1992 2026 2003 2014 1996 1997 1992 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rod Cupples United States 16 1.5k 913 770 416 309 17 3.0k
Duanzhi Wen United States 22 2.2k 1.5× 1.7k 1.8× 929 1.2× 474 1.1× 765 2.5× 27 4.4k
Kevin Pumiglia United States 30 2.2k 1.5× 758 0.8× 464 0.6× 569 1.4× 109 0.4× 43 4.0k
Darrin P. Smith United Kingdom 21 2.1k 1.4× 633 0.7× 451 0.6× 260 0.6× 184 0.6× 28 3.4k
Craig A. Dionne United States 37 3.9k 2.6× 804 0.9× 800 1.0× 157 0.4× 171 0.6× 56 5.5k
D Wen United States 15 1.1k 0.7× 796 0.9× 859 1.1× 278 0.7× 405 1.3× 16 2.3k
Craig Crowley United States 16 1.7k 1.1× 742 0.8× 980 1.3× 349 0.8× 235 0.8× 16 3.0k
Lionel M.L. Chow United States 30 1.9k 1.3× 500 0.5× 258 0.3× 307 0.7× 242 0.8× 56 3.2k
Kyeung Min Joo South Korea 37 2.9k 1.9× 1.6k 1.7× 481 0.6× 265 0.6× 123 0.4× 135 5.3k
James R. Tonra United States 29 1.2k 0.8× 968 1.1× 436 0.6× 168 0.4× 231 0.7× 70 2.9k
Flavio Maina France 35 2.6k 1.7× 617 0.7× 648 0.8× 351 0.8× 90 0.3× 68 4.4k

Countries citing papers authored by Rod Cupples

Since Specialization
Citations

This map shows the geographic impact of Rod Cupples'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 Rod Cupples with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rod Cupples more than expected).

Fields of papers citing papers by Rod Cupples

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rod Cupples. 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 Rod Cupples. The network helps show where Rod Cupples may publish in the future.

Co-authorship network of co-authors of Rod Cupples

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

All Works

17 of 17 papers shown
1.
Tamayo, Nuria, Mark H. Norman, Michael D. Bartberger, et al.. (2015). Small Molecule Disruptors of the Glucokinase–Glucokinase Regulatory Protein Interaction: 5. A Novel Aryl Sulfone Series, Optimization Through Conformational Analysis. Journal of Medicinal Chemistry. 58(11). 4462–4482. 23 indexed citations
2.
Hong, Fang‐Tsao, Mark H. Norman, Kate S. Ashton, et al.. (2014). Small Molecule Disruptors of the Glucokinase–Glucokinase Regulatory Protein Interaction: 4. Exploration of a Novel Binding Pocket. Journal of Medicinal Chemistry. 57(14). 5949–5964. 10 indexed citations
3.
4.
Hale, Clarence, Murielle M. Véniant, Zhulun Wang, et al.. (2007). Structural Characterization and Pharmacodynamic Effects of an Orally Active 11β‐Hydroxysteroid Dehydrogenase Type 1 Inhibitor. Chemical Biology & Drug Design. 71(1). 36–44. 26 indexed citations
5.
Jean, David J. St., Chester Yuan, Eric A. Bercot, et al.. (2007). 2-(S)-Phenethylaminothiazolones as Potent, Orally Efficacious Inhibitors of 11β-Hydroxysteriod Dehydrogenase Type 1. Journal of Medicinal Chemistry. 50(3). 429–432. 40 indexed citations
6.
Lindberg, Richard, Todd Juan, Andrew A. Welcher, et al.. (1998). Cloning and Characterization of a Specific Receptor for Mouse Oncostatin M. Molecular and Cellular Biology. 18(6). 3357–3367. 100 indexed citations
7.
Iwahara, Toshinori, Jiro Fujimoto, Duanzhi Wen, et al.. (1997). Molecular characterization of ALK, a receptor tyrosine kinase expressed specifically in the nervous system. Oncogene. 14(4). 439–449. 547 indexed citations breakdown →
8.
Jing, Shuqian, Duanzhi Wen, Yanbin Yu, et al.. (1996). GDNF–Induced Activation of the Ret Protein Tyrosine Kinase Is Mediated by GDNFR-α, a Novel Receptor for GDNF. Cell. 85(7). 1113–1124. 978 indexed citations breakdown →
9.
Wen, Duanzhi, Sidney V. Suggs, Devarajan Karunagaran, et al.. (1994). Structural and Functional Aspects of the Multiplicity of Neu Differentiation Factors. Molecular and Cellular Biology. 14(3). 1909–1919. 202 indexed citations
10.
Cupples, Rod, et al.. (1994). Cloning of cDNAs encoding human TIMP-3, a novel member of the tissue inhibitor of metalloproteinase family. Gene. 141(2). 293–297. 62 indexed citations
11.
Wen, D, et al.. (1994). Structural and functional aspects of the multiplicity of Neu differentiation factors.. Molecular and Cellular Biology. 14(3). 1909–1919. 132 indexed citations
12.
Shoreibah, Mohamed, Beverly S. Adler, Jasminder Weinstein, et al.. (1993). Isolation, characterization, and expression of a cDNA encoding N-acetylglucosaminyltransferase V. Journal of Biological Chemistry. 268(21). 15381–15385. 107 indexed citations
13.
Wen, Duanzhi, Elior Peles, Rod Cupples, et al.. (1992). Neu differentiation factor: A transmembrane glycoprotein containing an EGF domain and an immunoglobulin homology unit. Cell. 69(3). 559–572. 504 indexed citations breakdown →
14.
Yang, Funmei, et al.. (1992). Human α2-HS-glycoprotein/bovine fetuin homologue in mice: identification and developmental regulation of the gene. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1130(2). 149–156. 45 indexed citations
15.
Yang, Feifei, et al.. (1990). Human ceruloplasmin. Tissue-specific expression of transcripts produced by alternative splicing.. Journal of Biological Chemistry. 265(18). 10780–10785. 53 indexed citations
16.
Yang, Funmei, et al.. (1985). Evolutionary and structural relationships among the group-specific component, albumin and α-fetoprotein. Nucleic Acids Research. 13(22). 8007–8017. 28 indexed citations
17.
Yang, Fan, et al.. (1985). Human group-specific component (Gc) is a member of the albumin family.. Proceedings of the National Academy of Sciences. 82(23). 7994–7998. 139 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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