Wayne Kleinman

2.0k total citations · 1 hit paper
18 papers, 1.7k citations indexed

About

Wayne Kleinman is a scholar working on Biochemistry, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Wayne Kleinman has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biochemistry, 7 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Wayne Kleinman's work include Sulfur Compounds in Biology (9 papers), Selenium in Biological Systems (4 papers) and Glutathione Transferases and Polymorphisms (4 papers). Wayne Kleinman is often cited by papers focused on Sulfur Compounds in Biology (9 papers), Selenium in Biological Systems (4 papers) and Glutathione Transferases and Polymorphisms (4 papers). Wayne Kleinman collaborates with scholars based in United States. Wayne Kleinman's co-authors include John P. Richie, John Eng, L Singh, Garima Singh, Jean‐Pierre Raufman, Despina Komninou, Joshua Muscat, Yvonne Leutzinger, Stephen Colosimo and Qingli Shi and has published in prestigious journals such as Journal of Biological Chemistry, Free Radical Biology and Medicine and International Journal of Cancer.

In The Last Decade

Wayne Kleinman

18 papers receiving 1.6k citations

Hit Papers

Isolation and characterization of exendin-4, an exendin-3... 1992 2026 2003 2014 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
Wayne Kleinman United States 14 699 601 408 350 185 18 1.7k
Kang Cheng United States 26 881 1.3× 322 0.5× 345 0.8× 192 0.5× 119 0.6× 70 1.9k
Thomas H. Claus United States 21 1.0k 1.4× 365 0.6× 418 1.0× 193 0.6× 251 1.4× 38 2.1k
Christopher Volk Germany 19 765 1.1× 159 0.3× 196 0.5× 439 1.3× 366 2.0× 22 2.5k
Lei Ding China 29 1.1k 1.6× 270 0.4× 734 1.8× 551 1.6× 92 0.5× 74 3.3k
Cynthia J. DeLong United States 14 813 1.2× 123 0.2× 219 0.5× 338 1.0× 56 0.3× 19 1.7k
P McLean United Kingdom 24 603 0.9× 486 0.8× 211 0.5× 195 0.6× 110 0.6× 66 1.8k
Bruno Casetta Italy 24 818 1.2× 343 0.6× 167 0.4× 60 0.2× 136 0.7× 41 1.8k
Tsutomu Tomita Japan 26 675 1.0× 400 0.7× 430 1.1× 80 0.2× 43 0.2× 62 1.7k
Mariapia Vairetti Italy 27 857 1.2× 142 0.2× 582 1.4× 250 0.7× 239 1.3× 108 2.5k
George M. Patton United States 23 822 1.2× 172 0.3× 368 0.9× 358 1.0× 45 0.2× 42 1.7k

Countries citing papers authored by Wayne Kleinman

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Kleinman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne Kleinman

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

All Works

18 of 18 papers shown
1.
Richie, John P., et al.. (2011). Association of Selenium Status and Blood Glutathione Concentrations in Blacks and Whites. Nutrition and Cancer. 63(3). 367–375. 14 indexed citations
2.
Richie, John P., et al.. (2008). Blood Iron, Glutathione, and Micronutrient Levels and the Risk of Oral Cancer. Nutrition and Cancer. 60(4). 474–482. 45 indexed citations
3.
Muscat, Joshua, Brian Pittman, Wayne Kleinman, et al.. (2008). Comparison of CYP1A2 and NAT2 phenotypes between black and white smokers. Biochemical Pharmacology. 76(7). 929–937. 21 indexed citations
4.
Shi, Qingli, Hui Xu, Wayne Kleinman, & Gary E. Gibson. (2008). Novel functions of the α-ketoglutarate dehydrogenase complex may mediate diverse oxidant-induced changes in mitochondrial enzymes associated with Alzheimer's disease. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1782(4). 229–238. 52 indexed citations
5.
Huang, Zhishan, Despina Komninou, Wayne Kleinman, et al.. (2007). Enhanced levels of glutathione and protein glutathiolation in rat tongue epithelium during 4‐NQO‐induced carcinogenesis. International Journal of Cancer. 120(7). 1396–1401. 18 indexed citations
7.
Richie, John P., Despina Komninou, Yvonne Leutzinger, et al.. (2004). Tissue glutathione and cysteine levels in methionine-restricted rats. Nutrition. 20(9). 800–805. 76 indexed citations
8.
Muscat, Joshua, Wayne Kleinman, Stephen Colosimo, et al.. (2003). Enhanced protein glutathiolation and oxidative stress in cigarette smokers. Free Radical Biology and Medicine. 36(4). 464–470. 69 indexed citations
9.
Kleinman, Wayne, Despina Komninou, Yvonne Leutzinger, et al.. (2003). Protein glutathiolation in human blood. Biochemical Pharmacology. 65(5). 741–746. 40 indexed citations
10.
Srinivasan, Venkataraman, et al.. (2002). Determination of WR-1065 and WR-33278 by Liquid Chromatography with Electrochemical Detection: PVM 1:2002. Journal of AOAC International. 85(3). 551–554. 1 indexed citations
11.
El‐Bayoumy, Karam, John P. Richie, Telih Boyiri, et al.. (2002). Influence of Selenium-enriched Yeast Supplementation on Biomarkers of Oxidative Damage and Hormone Status in Healthy Adult Males. Cancer Epidemiology and Prevention Biomarkers. 11(11). 1459–1465. 4 indexed citations
12.
El‐Bayoumy, Karam, John P. Richie, Telih Boyiri, et al.. (2002). Influence of selenium-enriched yeast supplementation on biomarkers of oxidative damage and hormone status in healthy adult males: a clinical pilot study.. PubMed. 11(11). 1459–65. 57 indexed citations
13.
Kleinman, Wayne & John P. Richie. (2000). Status of glutathione and other thiols and disulfides in human plasma. Biochemical Pharmacology. 60(1). 19–29. 312 indexed citations
14.
Kleinman, Wayne & John P. Richie. (1995). Determination of thiols and disulfides using high-performance liquid chromatography with electrochemical detection. Journal of Chromatography B Biomedical Sciences and Applications. 672(1). 73–80. 75 indexed citations
15.
Eng, John, Wayne Kleinman, L Singh, Garima Singh, & Jean‐Pierre Raufman. (1992). Isolation and characterization of exendin-4, an exendin-3 analogue, from Heloderma suspectum venom. Further evidence for an exendin receptor on dispersed acini from guinea pig pancreas.. Journal of Biological Chemistry. 267(11). 7402–7405. 818 indexed citations breakdown →
16.
Eng, John, et al.. (1990). Purification of peptide hormones from chinchilla pancreas by chemical assay. Peptides. 11(4). 683–685. 8 indexed citations
17.
Eng, John, Philip Andrews, Wayne Kleinman, L Singh, & J. P. Raufman. (1990). Purification and structure of exendin-3, a new pancreatic secretagogue isolated from Heloderma horridum venom. Journal of Biological Chemistry. 265(33). 20259–20262. 57 indexed citations
18.
Ml, Hess, et al.. (1981). Chronic opiate receptor occupation and increased lethality in endotoxemia.. PubMed. 8(3). 313–22. 4 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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