Christopher Y. K. Williams

904 total citations · 1 hit paper
20 papers, 359 citations indexed

About

Christopher Y. K. Williams is a scholar working on Health Informatics, Epidemiology and Health. According to data from OpenAlex, Christopher Y. K. Williams has authored 20 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health Informatics, 4 papers in Epidemiology and 3 papers in Health. Recurrent topics in Christopher Y. K. Williams's work include Artificial Intelligence in Healthcare and Education (5 papers), Machine Learning in Healthcare (3 papers) and Clinical Reasoning and Diagnostic Skills (3 papers). Christopher Y. K. Williams is often cited by papers focused on Artificial Intelligence in Healthcare and Education (5 papers), Machine Learning in Healthcare (3 papers) and Clinical Reasoning and Diagnostic Skills (3 papers). Christopher Y. K. Williams collaborates with scholars based in United States, United Kingdom and Netherlands. Christopher Y. K. Williams's co-authors include Atul J. Butte, A Townson, Milan Kapur, Sarah Gentry, Julieta Galante, Juliet A. Usher‐Smith, Rebecca Nunn, Veronica Phillips, Brenda Y. Miao and Aaron E. Kornblith and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Christopher Y. K. Williams

19 papers receiving 352 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interventions to reduce social isolation and loneliness during COVID-19 physical distancing measures: A rapid systematic review

2021 169 citations Christopher Y. K. Williams, A Townson et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Y. K. Williams United States	8	104	91	69	68	55	20	359
Samantha Guitard Canada	8	31 0.3×	44 0.5×	54 0.8×	35 0.5×	33 0.6×	15	422
Esli Osmanlliu Canada	10	80 0.8×	9 0.1×	77 1.1×	68 1.0×	49 0.9×	33	396
Mike Paget Canada	11	39 0.4×	20 0.2×	76 1.1×	93 1.4×	84 1.5×	24	458
Larry Prokop United States	5	22 0.2×	72 0.8×	147 2.1×	34 0.5×	19 0.3×	9	330
Vasileios Nittas Switzerland	12	101 1.0×	30 0.3×	158 2.3×	13 0.2×	23 0.4×	28	507
Stephen R. Baker United States	7	20 0.2×	73 0.8×	188 2.7×	28 0.4×	36 0.7×	17	289
Yeşim Uncu Türkiye	10	33 0.3×	27 0.3×	174 2.5×	133 2.0×	32 0.6×	28	608
Pranay Jindal Canada	6	49 0.5×	20 0.2×	94 1.4×	27 0.4×	29 0.5×	8	274
Lorenzo Blandi Italy	8	35 0.3×	50 0.5×	32 0.5×	12 0.2×	13 0.2×	21	277
Alaa Youssef United States	11	51 0.5×	8 0.1×	57 0.8×	33 0.5×	13 0.2×	18	228

Countries citing papers authored by Christopher Y. K. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Y. K. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Y. K. Williams. 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 Christopher Y. K. Williams. The network helps show where Christopher Y. K. Williams may publish in the future.

Co-authorship network of co-authors of Christopher Y. K. Williams

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

All Works

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20 of 20 papers shown

Williams, Christopher Y. K., et al.. (2025). Evaluating large language models for drafting emergency department encounter summaries. PLOS Digital Health. 4(6). e0000899–e0000899. 7 indexed citations

Williams, Christopher Y. K., Balu Bhasuran, Gail Fernandes, et al.. (2025). Risk Prediction in Patients With Metabolic Dysfunction–Associated Steatohepatitis Using Natural Language Processing. Gastro Hep Advances. 4(9). 100701–100701.

Miao, Brenda Y., Irene Y. Chen, Christopher Y. K. Williams, et al.. (2025). The MI-CLAIM-GEN checklist for generative artificial intelligence in health. Nature Medicine. 31(5). 1394–1398. 7 indexed citations

Williams, Christopher Y. K., et al.. (2024). Enhancing emergency department charting: Using Generative Pre‐trained Transformer‐4 (GPT‐4) to identify laceration repairs. Academic Emergency Medicine. 32(1). 94–97. 1 indexed citations

Williams, Christopher Y. K., et al.. (2024). Large Language Models Outperform Traditional Natural Language Processing Methods in Extracting Patient-Reported Outcomes in Inflammatory Bowel Disease. SHILAP Revista de lepidopterología. 4(2). 100563–100563. 4 indexed citations

Williams, Christopher Y. K., Brenda Y. Miao, Aaron E. Kornblith, & Atul J. Butte. (2024). Evaluating the use of large language models to provide clinical recommendations in the Emergency Department. Nature Communications. 15(1). 8236–8236. 34 indexed citations

Sun, Shenghuan, Travis Zack, Christopher Y. K. Williams, Atul J. Butte, & Madhumita Sushil. (2024). Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes. JAMIA Open. 7(4). ooae073–ooae073. 1 indexed citations

Williams, Christopher Y. K., et al.. (2024). Application of the Sepsis-3 criteria to describe sepsis epidemiology in the Amsterdam UMCdb intensive care dataset. PLoS ONE. 19(6). e0304133–e0304133. 1 indexed citations

Sun, Shenghuan, Travis Zack, Christopher Y. K. Williams, Madhumita Sushil, & Atul J. Butte. (2024). Topic modeling on clinical social work notes for exploring social determinants of health factors. JAMIA Open. 7(1). ooad112–ooad112. 5 indexed citations

10.

Williams, Christopher Y. K., Travis Zack, Brenda Y. Miao, et al.. (2024). Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department. JAMA Network Open. 7(5). e248895–e248895. 61 indexed citations

11.

Williams, Christopher Y. K., et al.. (2023). Exploring patient experiences and concerns in the online Cochlear implant community: A cross‐sectional study and validation of automated topic modelling. Clinical Otolaryngology. 48(3). 442–450. 8 indexed citations

12.

Gamble, David, Amelia Rudd, Alice Mezincescu, et al.. (2023). Structural and Functional Brain Changes in Acute Takotsubo Syndrome. JACC Heart Failure. 11(3). 307–317. 18 indexed citations

13.

Williams, Christopher Y. K., A Townson, Nancy Terry, Nicole C. Schmitt, & Arun Sharma. (2022). Role of HER2 in Prognosis of Salivary Duct Carcinoma: A Systematic Review and Meta‐Analysis. The Laryngoscope. 133(3). 476–484. 5 indexed citations

14.

Sugawara, Sho K., Ramy El–Diwany, Christopher Y. K. Williams, et al.. (2021). People with HIV-1 Demonstrate Type 1 Interferon Refractoriness Associated with Upregulated USP18. Journal of Virology. 95(10). 6 indexed citations

15.

Williams, Christopher Y. K., A Townson, Milan Kapur, et al.. (2021). Interventions to reduce social isolation and loneliness during COVID-19 physical distancing measures: A rapid systematic review. PLoS ONE. 16(2). e0247139–e0247139. 169 indexed citations breakdown →

16.

Williams, Christopher Y. K., et al.. (2021). Impact of political partisanship on public interest in infection prevention measures in the United States: An infodemiological study. Preventive Medicine Reports. 23. 101493–101493. 3 indexed citations

17.

Williams, Christopher Y. K., Richard Knight, Neil Donnelly, & Manohar Bance. (2020). Prevalence and treatment of co‐morbid anxiety and depression among 352 dizzy patients: A retrospective study. Clinical Otolaryngology. 45(5). 832–836. 3 indexed citations

18.

Williams, Christopher Y. K., et al.. (2019). Hyperventilation Syndrome: Investigating the Relationship Between Nijmegen Questionnaire, Vestibular Function Tests, and Patient Symptoms. Otology & Neurotology. 41(3). e349–e356. 2 indexed citations

19.

Williams, Christopher Y. K., Tonny Banh, Jovanka Vasilevska‐Ristovska, et al.. (2017). Patterns of kidney injury in pediatric nonkidney solid organ transplant recipients. American Journal of Transplantation. 18(6). 1481–1488. 20 indexed citations

20.

Williams, Christopher Y. K., et al.. (2016). Incidental findings on magnetic resonance imaging of the internal auditory meatus performed to investigate audiovestibular symptoms. The Journal of Laryngology & Otology. 131(1). 32–36. 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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