Jamie P. McCusker

3.5k total citations
49 papers, 1.2k citations indexed

About

Jamie P. McCusker is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Jamie P. McCusker has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 24 papers in Artificial Intelligence and 14 papers in Information Systems and Management. Recurrent topics in Jamie P. McCusker's work include Biomedical Text Mining and Ontologies (21 papers), Semantic Web and Ontologies (21 papers) and Scientific Computing and Data Management (14 papers). Jamie P. McCusker is often cited by papers focused on Biomedical Text Mining and Ontologies (21 papers), Semantic Web and Ontologies (21 papers) and Scientific Computing and Data Management (14 papers). Jamie P. McCusker collaborates with scholars based in United States, United Kingdom and Ireland. Jamie P. McCusker's co-authors include Michael Krauthammer, Elaine Cheng, Mario Sznol, Antonella Bacchiocchi, Stephan Ariyan, Ruth Halaban, Deborah L. McGuinness, Wengeng Zhang, Fabio Parisi and Yuval Kluger and has published in prestigious journals such as Nature Genetics, Bioinformatics and American Journal of Public Health.

In The Last Decade

Jamie P. McCusker

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie P. McCusker United States 13 701 317 249 194 146 49 1.2k
Allison P. Heath United States 13 1.1k 1.5× 258 0.8× 122 0.5× 81 0.4× 86 0.6× 28 1.6k
Gilberto Fragoso United States 17 891 1.3× 68 0.2× 447 1.8× 139 0.7× 109 0.7× 22 1.1k
Tudor Groza Australia 19 861 1.2× 30 0.1× 568 2.3× 80 0.4× 183 1.3× 82 1.7k
Martin Fenner Germany 25 1.1k 1.6× 370 1.2× 85 0.3× 220 1.1× 323 2.2× 198 2.2k
Erik Schultes Netherlands 16 876 1.2× 46 0.1× 115 0.5× 275 1.4× 322 2.2× 47 1.4k
Nicole Vasilevsky United States 17 650 0.9× 34 0.1× 148 0.6× 177 0.9× 166 1.1× 48 1.3k
Yifan Peng United States 29 928 1.3× 296 0.9× 1.2k 4.9× 29 0.1× 51 0.3× 169 3.1k
Jin-Dong Kim Japan 28 2.2k 3.2× 114 0.4× 2.0k 8.2× 34 0.2× 87 0.6× 131 3.4k
Paul S. Andrews United Kingdom 17 526 0.8× 132 0.4× 164 0.7× 18 0.1× 11 0.1× 52 1.1k
Marco Beccuti Italy 20 535 0.8× 215 0.7× 54 0.2× 10 0.1× 42 0.3× 98 1.5k

Countries citing papers authored by Jamie P. McCusker

Since Specialization
Citations

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

Fields of papers citing papers by Jamie P. McCusker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie P. McCusker. 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 Jamie P. McCusker. The network helps show where Jamie P. McCusker may publish in the future.

Co-authorship network of co-authors of Jamie P. McCusker

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie P. McCusker. A scholar is included among the top collaborators of Jamie P. McCusker 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 Jamie P. McCusker. Jamie P. McCusker 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.
Erickson, John, et al.. (2024). LLM experimentation through knowledge graphs: Towards improved management, repeatability, and verification. Journal of Web Semantics. 85. 100853–100853. 1 indexed citations
2.
Seneviratne, Oshani, Amar K. Das, Sabbir M. Rashid, et al.. (2023). Semantically enabling clinical decision support recommendations. Journal of Biomedical Semantics. 14(1). 8–8. 3 indexed citations
3.
Bhanot, Karan, et al.. (2022). An Ontology for Fairness Metrics. 265–275. 8 indexed citations
4.
McCusker, Jamie P., et al.. (2022). FAIR and Interactive Data Graphics from a Scientific Knowledge Graph. Scientific Data. 9(1). 239–239. 11 indexed citations
5.
Seneviratne, Oshani, et al.. (2019). G-PROV: Provenance Management for Clinical Practice Guidelines.. 68–75. 2 indexed citations
6.
Stingone, Jeanette A., et al.. (2019). The CHEAR Data Repository: Facilitating children’s environmental health and exposome research through data harmonization, pooling and accessibility. Environmental Epidemiology. 3(Supplement 1). 382–382. 2 indexed citations
7.
Rashid, Sabbir M., et al.. (2018). Annotating Diverse Scientific Data With HAScO.. 80–91. 1 indexed citations
8.
McCusker, Jamie P., et al.. (2018). Developing Scientific Knowledge Graphs Using Whyis.. 52–58. 1 indexed citations
9.
Krauthammer, Michael, Yong Kong, Antonella Bacchiocchi, et al.. (2015). Exome sequencing identifies recurrent mutations in NF1 and RASopathy genes in sun-exposed melanomas. Nature Genetics. 47(9). 996–1002. 274 indexed citations
10.
McCusker, Jamie P., Rui Yan, Kusum Solanki, et al.. (2014). A Nanopublication Framework for Biological Networks using Cytoscape.js.. Research Publications (Maastricht University). 90–92. 1 indexed citations
11.
Dumontier, Michel, Christopher J. O. Baker, Joachim Baran, et al.. (2014). The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery. Journal of Biomedical Semantics. 5(1). 14–14. 131 indexed citations
12.
McCusker, Jamie P., Timothy Lebo, Michael Krauthammer, & Deborah L. McGuinness. (2013). Next Generation Cancer Data Discovery, Access, and Integration Using Prizms and Nanopublications. Lecture notes in computer science. 7970. 105–112. 3 indexed citations
13.
Belhajjame, Khalid, James Cheney, Sam Coppens, et al.. (2013). PROV-DM: The PROV Data Model. ePrints Soton (University of Southampton). 127 indexed citations
14.
Pulsifer, Peter, M. A. Parsons, Ruth Duerr, et al.. (2012). Interoperability and different ways of knowing: How semantics can aid in cross-cultural understanding. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
15.
Deus, Helena, Eric Prud’hommeaux, Michael Miller, et al.. (2012). Translating standards into practice – One Semantic Web API for Gene Expression. Journal of Biomedical Informatics. 45(4). 782–794. 10 indexed citations
16.
McGuinness, Deborah L., Li Ding, Timothy Lebo, et al.. (2012). Towards Semantically Enabled Next Generation Community Health Information Portals: The PopSciGrid Pilot. 5. 2752–2760. 6 indexed citations
17.
McCusker, Jamie P., Joanne Luciano, & Deborah L. McGuinness. (2011). Towards an Ontology for Conceptual Modeling.. 6 indexed citations
18.
McCusker, Jamie P. & Deborah L. McGuinness. (2010). Towards Identity in Linked Data.. 4 indexed citations
19.
Halaban, Ruth, Wengeng Zhang, Antonella Bacchiocchi, et al.. (2010). PLX4032, a selective BRAF V600E kinase inhibitor, activates the ERK pathway and enhances cell migration and proliferation of BRAF WT melanoma cells. Pigment Cell & Melanoma Research. 23(2). 190–200. 259 indexed citations
20.
McCusker, Jamie P., D.R. Harris, & D Hosmer. (1988). Association of electronic fetal monitoring during labor with cesarean section rate and with neonatal morbidity and mortality.. American Journal of Public Health. 78(9). 1170–1174. 18 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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