William J. Pinto

703 total citations
11 papers, 604 citations indexed

About

William J. Pinto is a scholar working on Molecular Biology, Biochemistry and Cell Biology. According to data from OpenAlex, William J. Pinto has authored 11 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Biochemistry and 3 papers in Cell Biology. Recurrent topics in William J. Pinto's work include Sphingolipid Metabolism and Signaling (4 papers), Lipid metabolism and biosynthesis (4 papers) and Plant biochemistry and biosynthesis (4 papers). William J. Pinto is often cited by papers focused on Sphingolipid Metabolism and Signaling (4 papers), Lipid metabolism and biosynthesis (4 papers) and Plant biochemistry and biosynthesis (4 papers). William J. Pinto collaborates with scholars based in United States. William J. Pinto's co-authors include Robert L. Lester, William R. Nes, Robert C. Dickson, Gerald B. Wells, Marcia Zweerink, Ruben Lozano, Balaji Srinivasan, Anja Schmidt and Adrian C. Williams and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Journal of Bacteriology.

In The Last Decade

William J. Pinto

11 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William J. Pinto United States 9 499 196 104 86 75 11 604
Huiseon Yang South Korea 9 360 0.7× 159 0.8× 59 0.6× 45 0.5× 29 0.4× 12 509
James E. Curotto United States 7 270 0.5× 76 0.4× 105 1.0× 24 0.3× 23 0.3× 7 474
Tapas K. Ray United States 8 436 0.9× 47 0.2× 51 0.5× 171 2.0× 24 0.3× 10 544
Mireille Rivière France 11 375 0.8× 76 0.4× 37 0.4× 58 0.7× 54 0.7× 14 478
K. U. Bindseil Germany 5 373 0.7× 56 0.3× 114 1.1× 29 0.3× 15 0.2× 9 625
Amy Trott United States 9 488 1.0× 145 0.7× 63 0.6× 20 0.2× 37 0.5× 10 619
Harold T. Shigeura United States 13 438 0.9× 37 0.2× 77 0.7× 36 0.4× 17 0.2× 27 625
M.G. van Oort Netherlands 9 267 0.5× 68 0.3× 41 0.4× 37 0.4× 26 0.3× 16 383
Anna Szkopińska Poland 14 442 0.9× 37 0.2× 40 0.4× 57 0.7× 10 0.1× 26 521
Julian S. Shindler United Kingdom 6 255 0.5× 52 0.3× 26 0.3× 79 0.9× 64 0.9× 10 433

Countries citing papers authored by William J. Pinto

Since Specialization
Citations

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

Fields of papers citing papers by William J. Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William J. Pinto

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

All Works

11 of 11 papers shown
2.
Zweerink, Marcia, et al.. (1992). Characterization of a novel, potent, and specific inhibitor of serine palmitoyltransferase.. Journal of Biological Chemistry. 267(35). 25032–25038. 116 indexed citations
3.
Pinto, William J., et al.. (1992). Sphingolipid long-chain-base auxotrophs of Saccharomyces cerevisiae: genetics, physiology, and a method for their selection. Journal of Bacteriology. 174(8). 2565–2574. 85 indexed citations
4.
Pinto, William J., et al.. (1991). Cloning and characterization of LCB1, a Saccharomyces gene required for biosynthesis of the long-chain base component of sphingolipids. Journal of Bacteriology. 173(14). 4325–4332. 167 indexed citations
5.
Pinto, William J., et al.. (1986). Characterization of a Saccharomyces cerevisiae mutant defective in inositol sphingolipid synthesis. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States). 5 indexed citations
6.
Nes, William R., et al.. (1986). Evidence for facilitated transport in the absorption of sterols bySaccharomyces cerevisiae. Lipids. 21(1). 102–106. 13 indexed citations
7.
Pinto, William J. & William R. Nes. (1985). Metabolism of sterols by saccharomyces cerevisiae. Journal of the American Oil Chemists Society. 62(4). 652. 1 indexed citations
8.
Pinto, William J. & William R. Nes. (1985). 24β-ethylsterols, n-alkanes and n-alkanols of Clerodendrum splendens. Phytochemistry. 24(5). 1095–1097. 17 indexed citations
9.
Pinto, William J., Ruben Lozano, & William R. Nes. (1985). Inhibition of sterol biosynthesis by ergosterol and cholesterol in Saccharomyces cerevisiae. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 836(1). 89–95. 23 indexed citations
10.
Pinto, William J. & William R. Nes. (1983). Stereochemical specificity for sterols in Saccharomyces cerevisiae.. Journal of Biological Chemistry. 258(7). 4472–4476. 67 indexed citations
11.
Pinto, William J., et al.. (1983). Stereochemically distinct roles for sterol in Saccharomycescerevisiae. Biochemical and Biophysical Research Communications. 112(1). 47–54. 45 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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