Keith J. Schray

1.1k total citations
46 papers, 838 citations indexed

About

Keith J. Schray is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Keith J. Schray has authored 46 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Surgery. Recurrent topics in Keith J. Schray's work include Diet, Metabolism, and Disease (12 papers), Pancreatic function and diabetes (10 papers) and Amino Acid Enzymes and Metabolism (6 papers). Keith J. Schray is often cited by papers focused on Diet, Metabolism, and Disease (12 papers), Pancreatic function and diabetes (10 papers) and Amino Acid Enzymes and Metabolism (6 papers). Keith J. Schray collaborates with scholars based in United States and Germany. Keith J. Schray's co-authors include Stephen J. Benkovic, Irwin A. Rose, Patricia A. Benkovic, Stephen J. Benkovic, Edward L. O'Connell, Elizabeth E. Howell, Albert S. Mildvan, William J. White, Jack A. Alhadeff and R. Sam Niedbala and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Accounts of Chemical Research.

In The Last Decade

Keith J. Schray

46 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith J. Schray United States 18 434 201 154 152 126 46 838
Manfred Becker Germany 16 446 1.0× 60 0.3× 57 0.4× 320 2.1× 89 0.7× 69 1.0k
T. Kremmer Hungary 16 589 1.4× 37 0.2× 42 0.3× 61 0.4× 63 0.5× 50 881
Margaret J. Hunter United States 13 673 1.6× 25 0.1× 70 0.5× 48 0.3× 83 0.7× 20 1.1k
Micheal D. Gaul United States 14 507 1.2× 63 0.3× 45 0.3× 45 0.3× 487 3.9× 18 1.1k
Hongping Ye United States 16 497 1.1× 40 0.2× 41 0.3× 79 0.5× 102 0.8× 38 799
L. Carroll King United States 11 194 0.4× 120 0.6× 101 0.7× 187 1.2× 341 2.7× 29 771
Jeff Kao United States 19 599 1.4× 25 0.1× 233 1.5× 39 0.3× 230 1.8× 40 1.2k
H. Olin Spivey United States 19 565 1.3× 15 0.1× 146 0.9× 35 0.2× 114 0.9× 36 953
Min Kyung Chae South Korea 19 280 0.6× 120 0.6× 126 0.8× 45 0.3× 127 1.0× 39 878
V. Petrow United States 19 653 1.5× 220 1.1× 34 0.2× 24 0.2× 549 4.4× 165 1.5k

Countries citing papers authored by Keith J. Schray

Since Specialization
Citations

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

Fields of papers citing papers by Keith J. Schray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith J. Schray. 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 Keith J. Schray. The network helps show where Keith J. Schray may publish in the future.

Co-authorship network of co-authors of Keith J. Schray

This figure shows the co-authorship network connecting the top 25 collaborators of Keith J. Schray. A scholar is included among the top collaborators of Keith J. Schray 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 Keith J. Schray. Keith J. Schray 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.
Schray, Keith J., et al.. (2009). Are In-Class Peer Leaders Effective in the Peer-Led Team-Learning Approach?.. The journal of college science teaching. 38(4). 62–67. 7 indexed citations
2.
Schray, Keith J., et al.. (2004). In Vitro Studies of the Effects of HAART Drugs and Excipients on Activity of Digestive Enzymes. Pharmaceutical Research. 21(3). 420–427. 14 indexed citations
3.
Niedbala, R. Sam, et al.. (1992). An enzymatic cycling procedure for β-NADP+ generated by 3′-phosphodiesterase, 2′:3′-cyclic nucleotide. Analytical Biochemistry. 202(1). 6–9. 5 indexed citations
4.
Heindel, Ned D., et al.. (1991). A novel heterobifunctional linker for formyl to thiol coupling. Bioconjugate Chemistry. 2(6). 427–430. 6 indexed citations
5.
Heindel, Ned D., et al.. (1990). Misonidazole conjugates of the colorectal tumor-associated monoclonal antibody 17-1A. Bioconjugate Chemistry. 1(5). 314–318. 6 indexed citations
6.
Foster, Natalie, et al.. (1988). Interactions of porphyrins and transfer RNA. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 950(2). 118–131. 12 indexed citations
7.
Schray, Keith J., et al.. (1988). Conformational states of enzymes bound to surfaces. Journal of Colloid and Interface Science. 121(1). 1–12. 52 indexed citations
8.
Heindel, Ned D., et al.. (1987). Macromolecular Attachment as a Metabolic Stabilizer for a Labile Radiosensitizer. Journal of Pharmaceutical Sciences. 76(5). 384–386. 3 indexed citations
9.
White, William J., Keith J. Schray, Günter Legler, & Jack A. Alhadeff. (1987). Further studies on the catalytic mechanism of human liver α-l-fucosidase. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 912(1). 132–138. 13 indexed citations
10.
Schray, Keith J., et al.. (1987). The inactivation of enzymes upon interaction with a hydrophobic latex surface. Journal of Colloid and Interface Science. 115(1). 130–138. 50 indexed citations
11.
Niedbala, R. Sam & Keith J. Schray. (1986). In Reply: The Friedewaid Formula: Statistical Acrobatics?. Clinical Chemistry. 32(5). 910–911. 1 indexed citations
12.
Niedbala, R. Sam, et al.. (1986). A spectrophotometric assay for nanogram quantities of biotin and avidin. Journal of Biochemical and Biophysical Methods. 13(4-5). 205–210. 19 indexed citations
13.
Heindel, Ned D., et al.. (1986). A controlled‐oxidation synthesis of substituted aryl 1‐methyl‐4‐nitro‐5‐imidazolyl sulfones. Journal of Heterocyclic Chemistry. 23(4). 1087–1090. 5 indexed citations
14.
White, William J., Keith J. Schray, Günter Legler, & Jack A. Alhadeff. (1986). Active-site-directed inactivation of human liver α-l-fucosidase by conduritol C trans-epoxide. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 873(2). 198–203. 17 indexed citations
15.
Howell, Elizabeth E., Jennifer A. Nasser, & Keith J. Schray. (1981). Coated Tube Enzyme Immunoassay: Factors Affecting Sensitivity and Effects of Reversible Protein Binding to Polystyrene. Journal of Immunoassay. 2(3-4). 205–225. 15 indexed citations
16.
Schray, Keith J., et al.. (1980). Liver aldolase anomeric specificity. Biochemistry. 19(12). 2593–2597. 7 indexed citations
17.
Rose, Irwin A., Edward L. O'Connell, & Keith J. Schray. (1973). Mannose 6-Phosphate: Anomeric Form Used by Phosphomannose Isomerase and Its l-Epimerization by Phosphoglucose Isomerase. Journal of Biological Chemistry. 248(6). 2232–2234. 38 indexed citations
18.
Schray, Keith J. & Albert S. Mildvan. (1972). Kinetic and Magnetic Resonance Studies of the Mechanism of d-Xylose Isomerase. Journal of Biological Chemistry. 247(7). 2034–2037. 30 indexed citations
19.
Schray, Keith J. & Irwin A. Rose. (1971). Anomeric specificity and mechanism of two pentose isomerases. Biochemistry. 10(6). 1058–1062. 75 indexed citations
20.
Benkovic, Stephen J. & Keith J. Schray. (1968). Kinetics and mechanisms of phosphoenolpyruvate hydrolysis. Biochemistry. 7(11). 4090–4096. 28 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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