William C. Young

8.8k total citations · 1 hit paper
163 papers, 4.3k citations indexed

About

William C. Young is a scholar working on Environmental Chemistry, Plant Science and Electrical and Electronic Engineering. According to data from OpenAlex, William C. Young has authored 163 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Environmental Chemistry, 33 papers in Plant Science and 30 papers in Electrical and Electronic Engineering. Recurrent topics in William C. Young's work include Turfgrass Adaptation and Management (35 papers), Semiconductor Lasers and Optical Devices (26 papers) and Photonic and Optical Devices (19 papers). William C. Young is often cited by papers focused on Turfgrass Adaptation and Management (35 papers), Semiconductor Lasers and Optical Devices (26 papers) and Photonic and Optical Devices (19 papers). William C. Young collaborates with scholars based in United States, Argentina and South Africa. William C. Young's co-authors include Charles H. Phoenix, Robert W. Goy, Arnold A. Gerall, J Grunt, Milton Diamond, R. W. Goy, L. Curtis, Elliot S. Valenstein, Thomas G. Chastain and W. Riss and has published in prestigious journals such as Science, The Lancet and The Journal of Cell Biology.

In The Last Decade

William C. Young

158 papers receiving 3.8k citations

Hit Papers

ORGANIZING ACTION OF PRENATALLY ADMINISTERED TESTOSTERONE... 1959 2026 1981 2003 1959 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William C. Young United States 28 1.1k 813 695 690 581 163 4.3k
Irving Zucker United States 46 2.0k 1.8× 823 1.0× 599 0.9× 596 0.9× 1.3k 2.3× 235 9.3k
Theresa M. Lee United States 38 987 0.9× 176 0.2× 515 0.7× 406 0.6× 422 0.7× 184 5.4k
Richard E. Brown Canada 56 1.9k 1.8× 161 0.2× 1.2k 1.7× 813 1.2× 949 1.6× 272 9.6k
Shigeyasu Tanaka Japan 39 428 0.4× 487 0.6× 1.9k 2.7× 666 1.0× 139 0.2× 196 5.4k
David P. Olson United States 46 711 0.6× 191 0.2× 2.2k 3.2× 418 0.6× 378 0.7× 171 9.9k
Lance J. Kriegsfeld United States 50 1.7k 1.5× 3.1k 3.8× 1.1k 1.6× 992 1.4× 597 1.0× 131 7.1k
Joseph Terkel Israel 38 1.6k 1.4× 424 0.5× 281 0.4× 932 1.4× 507 0.9× 138 4.0k
B. L. Lasley United States 41 948 0.9× 1.7k 2.1× 308 0.4× 1.2k 1.7× 319 0.5× 178 6.1k
Marc Legendre France 31 1.3k 1.1× 3.5k 4.3× 1.4k 2.0× 1.7k 2.5× 596 1.0× 119 9.5k
Richard J. Blandau United States 32 466 0.4× 2.6k 3.2× 994 1.4× 763 1.1× 199 0.3× 82 5.2k

Countries citing papers authored by William C. Young

Since Specialization
Citations

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

Fields of papers citing papers by William C. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of William C. Young. A scholar is included among the top collaborators of William C. 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 C. Young. William C. 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.
O’Brien, Valerie P., Yuqi Kang, Meera K. Shenoy, et al.. (2023). Single-cell Profiling Uncovers a Muc4 -Expressing Metaplastic Gastric Cell Type Sustained by Helicobacter pylori -driven Inflammation. Cancer Research Communications. 3(9). 1756–1769. 3 indexed citations
2.
Speake, Cate, Samuel O. Skinner, Dror Berel, et al.. (2019). A composite immune signature parallels disease progression across T1D subjects. JCI Insight. 4(23). 12 indexed citations
3.
Young, William C., et al.. (2019). Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation Data. Journal of Computational Biology. 26(10). 1113–1129. 5 indexed citations
4.
Roy, Jean‐Philippe, William C. Young, Rajit K. Basu, et al.. (2019). Use of height-independent baseline creatinine imputation method with renal angina index. Pediatric Nephrology. 34(10). 1777–1784. 16 indexed citations
5.
Hung, Ling‐Hong, et al.. (2017). fastBMA: scalable network inference and transitive reduction. GigaScience. 6(10). 1–10. 5 indexed citations
6.
Young, William C., et al.. (2016). Plasma Studies in the SPECTOR Experiment as Target Development for MTF. Bulletin of the American Physical Society. 2016. 1 indexed citations
7.
Young, William C., Sheeba Nadarajah, & Ann Berger. (2016). Supportive medical care in life-threatening illness: A pilot study. Palliative & Supportive Care. 14(6). 680–685. 2 indexed citations
8.
Young, William C., et al.. (2014). Psychosocial experiences in the context of life-threatening illness: The cardiac rehabilitation patient. Palliative & Supportive Care. 13(3). 749–756. 14 indexed citations
9.
Funder, J W, Robert M. Carey, Carlos Fardella, et al.. (2009). Case detection, diagnosis, and treatment of patients with primary aldosteronism: an Endocrine Society clinical practice guideline. European Journal of Endocrinology. 66 indexed citations
10.
Scattoni, María Luisa, Hewlet G. McFarlane, Heather K. Caldwell, et al.. (2007). Reduced ultrasonic vocalizations in vasopressin 1b knockout mice. Behavioural Brain Research. 187(2). 371–378. 106 indexed citations
11.
Mueller-Warrant, George, et al.. (1994). Influence of Residue Removal Method and Herbicides on Perennial Ryegrass Seed Production: II. Crop Tolerance. Agronomy Journal. 86(4). 684–690. 3 indexed citations
12.
Young, William C., Allan F. Thornton, S S Gebarski, & Wayne T. Cornblath. (1992). Radiation-induced optic neuropathy: correlation of MR imaging and radiation dosimetry.. Radiology. 185(3). 904–907. 25 indexed citations
13.
Curtis, L., et al.. (1989). Transmitted power variations in single-mode fiber joints with obliquely polished endfaces. Journal of Lightwave Technology. 7(10). 1478–1483. 6 indexed citations
14.
Young, William C. & L. Curtis. (1987). Single-Mode Fiber Switch with Simultaneous Loop-Back Feature. ThC3–ThC3. 1 indexed citations
15.
Gimlett, J.L., et al.. (1985). Bidirectional LED transmission on single-mode fibre in the 1300 and 1500 nm wavelength regions. Electronics Letters. 21(20). 928–929. 11 indexed citations
16.
Diamond, Milton & William C. Young. (1968). Perspectives in reproduction and sexual behavior. Indiana University Press eBooks. 156 indexed citations
17.
Young, William C., et al.. (1958). An Inherited Spermatogenic Hypoplasia in the Guinea Pig. Fertility and Sterility. 9(6). 533–544. 7 indexed citations
18.
Ladman, Aaron J. & William C. Young. (1958). An Electron Microscopic Study of the Ductuli Efferentes and Rete Testis of the Guinea Pig. The Journal of Cell Biology. 4(2). 219–226. 71 indexed citations
19.
Webster, Richard C. & William C. Young. (1951). Adolescent Sterility in the Male Guinea Pig. Fertility and Sterility. 2(2). 175–181. 18 indexed citations
20.
Ford, Donald H. & William C. Young. (1951). THE ROLE OF PROGESTERONE IN THE PRODUCTION OF CYCLIC VAGINAL CHANGES IN THE FEMALE GUINEA PIG12. Endocrinology. 49(6). 795–804. 13 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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