William C. King

466 total citations
24 papers, 329 citations indexed

About

William C. King is a scholar working on Gender Studies, General Health Professions and Demography. According to data from OpenAlex, William C. King has authored 24 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Gender Studies, 5 papers in General Health Professions and 4 papers in Demography. Recurrent topics in William C. King's work include Gender, Labor, and Family Dynamics (6 papers), Neuroblastoma Research and Treatments (2 papers) and Financial Literacy, Pension, Retirement Analysis (2 papers). William C. King is often cited by papers focused on Gender, Labor, and Family Dynamics (6 papers), Neuroblastoma Research and Treatments (2 papers) and Financial Literacy, Pension, Retirement Analysis (2 papers). William C. King collaborates with scholars based in United States, United Kingdom and China. William C. King's co-authors include Vicky Albert, Li‐Jin Chew, Ann R. Kennedy, Vittorio Gallo, Liqun Yang, Brian A. McCarthy, Han‐Fei Ding, Jane Ding, Hongjuan Cui and Jing Zhang and has published in prestigious journals such as Cancer Research, Science Advances and The Journal of Urology.

In The Last Decade

William C. King

21 papers receiving 311 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 C. King United States 7 113 59 58 56 49 24 329
Marina Digregorio Belgium 10 244 2.2× 52 0.9× 10 0.2× 13 0.2× 139 2.8× 20 521
Rana Zeine United States 11 121 1.1× 208 3.5× 27 0.5× 68 1.2× 74 1.5× 22 468
Magnus Sabel Sweden 10 120 1.1× 65 1.1× 13 0.2× 8 0.1× 52 1.1× 20 394
Michael Makara United States 13 379 3.4× 16 0.3× 31 0.5× 17 0.3× 19 0.4× 30 640
Yang Xie China 10 192 1.7× 87 1.5× 6 0.1× 13 0.2× 105 2.1× 22 453
Jason Domogauer United States 10 129 1.1× 13 0.2× 42 0.7× 13 0.2× 59 1.2× 22 365
Jacqueline Nicholas United States 12 88 0.8× 67 1.1× 9 0.2× 17 0.3× 108 2.2× 47 507
Violetta Anastasiadou Cyprus 14 270 2.4× 19 0.3× 23 0.4× 22 0.4× 31 0.6× 46 718
Michael S. Kang United States 10 143 1.3× 17 0.3× 29 0.5× 4 0.1× 48 1.0× 43 551
Caroline Marshall United States 9 245 2.2× 77 1.3× 59 1.0× 4 0.1× 19 0.4× 25 475

Countries citing papers authored by William C. King

Since Specialization
Citations

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

Fields of papers citing papers by William C. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of William C. King. A scholar is included among the top collaborators of William C. King 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. King. William C. King 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.
Matulewicz, Richard S., William C. King, Arielle R. Nagler, et al.. (2025). Efficacy of a Clinical Decision Support Tool to Promote Guideline-Concordant Evaluations in Patients With High-Risk Microscopic Hematuria: A Cluster Randomized Quality Improvement Project. The Journal of Urology. 213(5). 558–567. 1 indexed citations
2.
King, William C., et al.. (2025). Effect of text message reminders to improve paediatric immunisation rates: a randomised controlled quality improvement project. BMJ Quality & Safety. 34(5). 339–348. 1 indexed citations
3.
Edgar, Kevin, Eleanor Gill, Hojjat Naderi‐Meshkin, et al.. (2023). PLAC8-Mediated Activation of NOX4 Signalling Restores Angiogenic Function of Endothelial Colony-Forming Cells in Experimental Hypoxia. Cells. 12(18). 2220–2220. 3 indexed citations
4.
King, William C., et al.. (2022). DeepVelo : Single-cell transcriptomic deep velocity field learning with neural ordinary differential equations. Science Advances. 8(48). eabq3745–eabq3745. 34 indexed citations
5.
Albert, Vicky & William C. King. (2017). The impact of short lifetime limits on child neglect during the Great Recession: The case of Arizona. The Journal of Sociology & Social Welfare. 44(2). 53. 1 indexed citations
6.
Albert, Vicky & William C. King. (2017). Impact of Short Lifetime Limits on Child Neglect. The Journal of Sociology & Social Welfare. 44(2). 4 indexed citations
7.
Chen, Yi‐Ping Phoebe, Benjamin Johnson, Fangyong Li, et al.. (2015). The Effect of Body Mass Index on Pelvic Floor Support 1 Year Postpartum. Reproductive Sciences. 23(2). 234–238. 9 indexed citations
8.
Eid, Rasha Abu, Kevin M. Friedman, Mikayel Mkrtichyan, et al.. (2015). Akt1 and -2 inhibition diminishes terminal differentiation and enhances central memory CD8+T-cell proliferation and survival. OncoImmunology. 4(5). e1005448–e1005448. 43 indexed citations
9.
McCarthy, Brian A., Liqun Yang, Jane Ding, et al.. (2012). NF-κB2 mutation targets survival, proliferation and differentiation pathways in the pathogenesis of plasma cell tumors. BMC Cancer. 12(1). 203–203. 4 indexed citations
10.
Mao, Ling, Jane Ding, Yunhong Zha, et al.. (2011). HOXC9 Links Cell-Cycle Exit and Neuronal Differentiation and Is a Prognostic Marker in Neuroblastoma. Cancer Research. 71(12). 4314–4324. 58 indexed citations
11.
Albert, Vicky & William C. King. (2011). Citizenship Status and TANF Exits: A Proportional Hazard Model. Journal of Social Service Research. 37(3). 294–308. 3 indexed citations
12.
Albert, Vicky & William C. King. (2010). The Impact of 9/11 on the Noncitizen Welfare Caseload: A Time-Series Analysis. Journal of Social Service Research. 36(2). 81–93.
13.
King, William C.. (2010). Woman; Her Position, Influence, and Achievement Throughout the Civilized World. Medical Entomology and Zoology.
14.
Albert, Vicky & William C. King. (2008). Survival Analyses of the Dynamics of Sibling Experiences in Foster Care. Families in Society The Journal of Contemporary Social Services. 89(4). 533–541. 34 indexed citations
15.
Chew, Li‐Jin, William C. King, Ann R. Kennedy, & Vittorio Gallo. (2005). Interferon‐γ inhibits cell cycle exit in differentiating oligodendrocyte progenitor cells. Glia. 52(2). 127–143. 95 indexed citations
16.
Albert, Vicky & William C. King. (2001). The Impact of the Economy and Welfare Policy on Welfare Accessions: Implications for Future Reforms. The Journal of Sociology & Social Welfare. 28(3). 3 indexed citations
17.
Albert, Vicky & William C. King. (1996). Allocating Resources for Child Welfare Services:. Administration in Social Work. 20(2). 61–77. 4 indexed citations
18.
King, William C.. (1986). Description and application of the AERIN Code at LLNL. University of North Texas Digital Library (University of North Texas). 1 indexed citations
19.
King, William C.. (1980). Use of AERIN code for determining internal doses of transuranic isotopes. University of North Texas Digital Library (University of North Texas). 1 indexed citations
20.
King, William C.. (1953). SUPERFICIAL FUNGUS INFECTIONS IN INFANTS. Archives of Dermatology. 68(6). 664–664. 15 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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