William W. Young

5.0k total citations · 1 hit paper
89 papers, 4.2k citations indexed

About

William W. Young is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, William W. Young has authored 89 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 19 papers in Cell Biology and 19 papers in Immunology. Recurrent topics in William W. Young's work include Glycosylation and Glycoproteins Research (52 papers), Monoclonal and Polyclonal Antibodies Research (18 papers) and Carbohydrate Chemistry and Synthesis (14 papers). William W. Young is often cited by papers focused on Glycosylation and Glycoproteins Research (52 papers), Monoclonal and Polyclonal Antibodies Research (18 papers) and Carbohydrate Chemistry and Synthesis (14 papers). William W. Young collaborates with scholars based in United States, Denmark and Canada. William W. Young's co-authors include Sen‐itiroh Hakomori, Michael P. Woodward, Robert A. Bloodgood, Erik Dabelsteen, Jacques Portoukalian, Jeannine M. Durdik, Robert C. Nowinski, Poul Vedtofte, Margaretta Allietta and Thomas W. Tillack and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

William W. Young

87 papers receiving 3.9k citations

Hit Papers

Detection of monoclonal antibodies specific for carbohydr... 1985 2026 1998 2012 1985 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William W. Young United States 35 2.7k 1.2k 939 710 469 89 4.2k
Robert A. Childs United Kingdom 36 2.7k 1.0× 1.1k 1.0× 933 1.0× 424 0.6× 330 0.7× 78 4.0k
Sandra Diaz United States 35 3.5k 1.3× 1.3k 1.1× 788 0.8× 607 0.9× 252 0.5× 65 5.2k
James E. K. Hildreth United States 46 3.2k 1.2× 2.9k 2.5× 661 0.7× 548 0.8× 326 0.7× 121 7.6k
Sørge Kelm Germany 38 3.9k 1.4× 2.1k 1.8× 798 0.8× 677 1.0× 158 0.3× 129 6.1k
Philip J. Barr United States 40 4.9k 1.8× 1.6k 1.4× 333 0.4× 615 0.9× 192 0.4× 82 8.7k
Elizabeth F. Hounsell United Kingdom 34 2.2k 0.8× 655 0.6× 461 0.5× 522 0.7× 116 0.2× 92 3.3k
Ricardo A. Feldman United States 34 2.1k 0.8× 847 0.7× 376 0.4× 465 0.7× 519 1.1× 87 4.8k
Cornelis H. Hokke Netherlands 51 3.9k 1.4× 1.8k 1.5× 949 1.0× 356 0.5× 244 0.5× 177 7.6k
P J Barr United States 39 3.0k 1.1× 1.3k 1.1× 566 0.6× 813 1.1× 95 0.2× 66 7.0k
Jean‐Pierre Aubert France 46 4.1k 1.5× 1.2k 1.0× 883 0.9× 629 0.9× 253 0.5× 139 6.3k

Countries citing papers authored by William W. Young

Since Specialization
Citations

This map shows the geographic impact of William 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 William 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 William W. Young more than expected).

Fields of papers citing papers by William W. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William W. Young

This figure shows the co-authorship network connecting the top 25 collaborators of William W. Young. A scholar is included among the top collaborators of William 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 William W. Young. William 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.
Imbert-Fernandez, Yoannis, Brandie N. Radde, Yun Teng, et al.. (2011). MUC1/A and MUC1/B splice variants differentially regulate inflammatory cytokine expression. Experimental Eye Research. 93(5). 649–657. 15 indexed citations
2.
Foulks, Gary N., et al.. (2008). MUC1 and estrogen receptor α gene polymorphisms in dry eye patients. Experimental Eye Research. 88(3). 334–338. 29 indexed citations
3.
Darling, Douglas S., et al.. (2006). MUC1 splice variants in human ocular surface tissues: Possible differences between dry eye patients and normal controls. Experimental Eye Research. 83(3). 493–501. 51 indexed citations
4.
Jumblatt, Marcia M., et al.. (2006). Expression in Human Ocular Surface Tissues of the GalNAc-Transferases That Initiate Mucin-Type O-Glycosylation. Cornea. 25(10). 1193–1199. 14 indexed citations
5.
Yen, Ten‐Yang, et al.. (2005). Structural features of the lysosomal hydrolase mannose 6-phosphate uncovering enzyme. Glycoconjugate Journal. 22(1-2). 13–19. 6 indexed citations
6.
Young, William W., et al.. (2002). An Efficient and Effective Teaching Model for Ambulatory Education. Academic Medicine. 77(7). 593–599. 41 indexed citations
7.
Young, William W., et al.. (2000). Degradation of rat enamel proteins by lysosomal proteases in vitro. Journal of Dental Research. 79(5). 1049–1049. 1 indexed citations
9.
Davis, Dell, et al.. (1991). Meeting the challenge: a multidisciplinary clinical ladder program.. PubMed. 10(1). 16–20. 1 indexed citations
11.
Allietta, Margaretta, et al.. (1990). Organization of glycosphingolipids in phosphatidylcholine bilayers: use of antibody molecules and Fab fragments as morphologic markers. Biochemistry. 29(36). 8484–8490. 88 indexed citations
12.
Gonias, Steven L., William W. Young, & Jay W. Fox. (1989). Cleavage of Recombinant Murine Interferon-7 by Plasmin and Miniplasmin. Journal of Interferon Research. 9(5). 517–529. 9 indexed citations
13.
Shiraishi, Tadashi, et al.. (1988). The glycosphingolipids of human prostate tissue. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 961(2). 160–169. 6 indexed citations
14.
Young, William W., et al.. (1984). Staphylococcal protein A binding to the Fab fragments of mouse monoclonal antibodies.. The Journal of Immunology. 133(6). 3163–3166. 53 indexed citations
15.
Evans, Edward S., et al.. (1975). Larvicidal effectiveness of a controlled-release formulation of chlorpyrifos in a woodland pool habitat.. Mosquito news. 35(3). 343–350. 5 indexed citations
16.
Young, William W., et al.. (1973). Polymer formulations of mosquito larvicides. I. Effectiveness of polyethylene and polyvinyl chloride formulations of chlorpyrifos applied to artificial field pools.. Mosquito news. 33(2). 2 indexed citations
17.
Roberts, D. R., et al.. (1973). Polymer formulations of mosquito larvicides. III. Effects of a polyethylene formulation of chlorpyrifos on non-target populations naturally infesting artificial field pools.. Mosquito news. 33(2). 3 indexed citations
18.
Young, William W., et al.. (1973). Polymer formulations of mosquito larvicides. V. Effects of continuous low-level chlorpyrifos residues on the development of Culex pipiens quinquefasciatus Say populations in the laboratory.. Mosquito news. 33(3). 396–402. 1 indexed citations
19.
Furlow, Bryant & William W. Young. (1970). Larval surveys compared to ovitrap surveys for detecting Aedes aegypti and Aedes triseriatus.. Mosquito news. 30(3). 8 indexed citations
20.
Lofgren, C. S., et al.. (1966). Evaluation of insecticides against two species of Culex mosquitoes on Okinawa.. Mosquito news. 26(1). 1 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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