William D. Duncan

1.0k total citations
32 papers, 190 citations indexed

About

William D. Duncan is a scholar working on Molecular Biology, Artificial Intelligence and Periodontics. According to data from OpenAlex, William D. Duncan has authored 32 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Artificial Intelligence and 6 papers in Periodontics. Recurrent topics in William D. Duncan's work include Biomedical Text Mining and Ontologies (15 papers), Semantic Web and Ontologies (11 papers) and Genomics and Rare Diseases (4 papers). William D. Duncan is often cited by papers focused on Biomedical Text Mining and Ontologies (15 papers), Semantic Web and Ontologies (11 papers) and Genomics and Rare Diseases (4 papers). William D. Duncan collaborates with scholars based in United States, New Zealand and Spain. William D. Duncan's co-authors include Alexander D. Diehl, Thankam Thyvalikakath, Mark Jensen, Alan Ruttenberg, Gregg H. Gilbert, Titus Schleyer, D. Brad Rindal, Michelle LaPradd, George J. Eckert and Kinga Szigeti and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

William D. Duncan

29 papers receiving 179 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 D. Duncan United States 9 73 52 34 20 18 32 190
Houjun Liu China 11 67 0.9× 26 0.5× 32 0.9× 5 0.3× 38 2.1× 24 285
Haiwen Gui United States 6 31 0.4× 67 1.3× 3 0.1× 3 0.1× 27 1.5× 13 211
Jiangtao Gou United States 12 71 1.0× 16 0.3× 2 0.1× 2 0.1× 34 1.9× 45 351
Chuanning Tang China 6 118 1.6× 4 0.1× 10 0.3× 24 1.3× 17 196
Hieu Nguyen United States 6 84 1.2× 6 0.1× 3 0.1× 1 0.1× 9 0.5× 14 173
Devbarna Sinha United States 8 29 0.4× 22 0.4× 2 0.1× 2 0.1× 43 2.4× 19 181
Mahmoud Dahdouli United States 5 145 2.0× 13 0.3× 2 0.1× 2 0.1× 10 0.6× 6 246
Eugene Urrutia United States 7 190 2.6× 6 0.1× 15 0.4× 32 1.8× 8 315
Emanuele Ratti United States 10 110 1.5× 45 0.9× 2 0.1× 12 0.7× 31 299
Christian Darabos United States 9 84 1.2× 17 0.3× 1 0.0× 22 1.2× 24 212

Countries citing papers authored by William D. Duncan

Since Specialization
Citations

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

Fields of papers citing papers by William D. Duncan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William D. Duncan

This figure shows the co-authorship network connecting the top 25 collaborators of William D. Duncan. A scholar is included among the top collaborators of William D. Duncan 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 D. Duncan. William D. Duncan 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.
Thyvalikakath, Thankam, George J. Eckert, Michelle LaPradd, et al.. (2024). Survival analysis of posterior composite restorations in National Dental PBRN general dentistry practices. Journal of Dentistry. 141. 104831–104831. 4 indexed citations
2.
Aravindraja, Chairmandurai, et al.. (2024). Streptococcus gordonii Supragingival Bacterium Oral Infection-Induced Periodontitis and Robust miRNA Expression Kinetics. International Journal of Molecular Sciences. 25(11). 6217–6217. 4 indexed citations
3.
Duncan, William D., et al.. (2024). Concretizing plan specifications as realizables within the OBO foundry. Journal of Biomedical Semantics. 15(1). 15–15.
4.
Rocha, Mateus Garcia, et al.. (2023). Assessment of CAD/CAM composites classification in abstracts using machine learning. Dental Materials. 39. e60–e61. 2 indexed citations
5.
Aravindraja, Chairmandurai, et al.. (2023). Unique miRomics Expression Profiles in Tannerella forsythia-Infected Mandibles during Periodontitis Using Machine Learning. International Journal of Molecular Sciences. 24(22). 16393–16393. 6 indexed citations
6.
Meyer, R.M., Ward Appeltans, William D. Duncan, et al.. (2023). Aligning Standards Communities for Omics Biodiversity Data: Sustainable Darwin Core-MIxS Interoperability. ZooKeys. 11. e112420–e112420. 6 indexed citations
7.
Lin, Yu, Thomas Beale, William D. Duncan, et al.. (2023). Improving the Quality and Utility of Electronic Health Record Data through Ontologies. SHILAP Revista de lepidopterología. 3(3). 316–340. 5 indexed citations
8.
Chan, Lauren, Anne Thessen, William D. Duncan, et al.. (2023). The Environmental Conditions, Treatments, and Exposures Ontology (ECTO): connecting toxicology and exposure to human health and beyond. Journal of Biomedical Semantics. 14(1). 3–3. 7 indexed citations
9.
Hills, Denise, Joan Damerow, Robert Crystal‐Ornelas, et al.. (2022). Earth and Space Science Informatics Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science. Earth and Space Science. 9(4). 3 indexed citations
10.
Meyer, R.M., et al.. (2021). Aligning Standards Communities: Sustainable Darwin Core MIxS Interoperability. Biodiversity Information Science and Standards. 5. 1 indexed citations
11.
He, Yongqun, Edison Ong, Yang Wang, et al.. (2020). CIDO: The community-based coronavirus infectious disease ontology. PhilPapers (PhilPapers Foundation). 2807. 1–10. 3 indexed citations
12.
Duncan, William D., Thankam Thyvalikakath, Melissa Haendel, et al.. (2020). Structuring, reuse and analysis of electronic dental data using the Oral Health and Disease Ontology. Journal of Biomedical Semantics. 11(1). 8–8. 5 indexed citations
13.
He, Yongqun, William D. Duncan, Daniel J. Cooper, et al.. (2019). OSCI: standardized stem cell ontology representation and use cases for stem cell investigation. BMC Bioinformatics. 20(S5). 180–180. 2 indexed citations
14.
Duncan, William D., et al.. (2019). An ontology for representing hematologic malignancies: the cancer cell ontology. BMC Bioinformatics. 20(S5). 181–181. 10 indexed citations
15.
Duncan, William D., et al.. (2018). Enhancing Semantic Analysis of Pathology Reports.. 1 indexed citations
16.
Starbuck, Kristen, J. Brian Szender, William D. Duncan, et al.. (2018). Prognostic impact of adjuvant chemotherapy treatment intensity for ovarian cancer. PLoS ONE. 13(11). e0206913–e0206913. 9 indexed citations
17.
Iovoli, Austin J., Chong Wang, William D. Duncan, et al.. (2018). Routine surveillance scanning in HNSCC: Lung screening CT scans have value but head and neck scans do not. Oral Oncology. 86. 273–277. 3 indexed citations
18.
Jensen, Mark, et al.. (2014). Applications of OBI 'assay'. 96–98. 2 indexed citations
19.
Jensen, Mark, William D. Duncan, Bianca Weinstock‐Guttman, et al.. (2013). The neurological disease ontology. Journal of Biomedical Semantics. 4(1). 42–42. 29 indexed citations
20.
Duncan, William D.. (1969). The Relationship of Time and Dose in the Radiation Therapy of Cancer.. Journal of the Royal Society of Medicine. 62(6). 627–628. 5 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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