Luke T. Slater

903 total citations
28 papers, 272 citations indexed

About

Luke T. Slater is a scholar working on Molecular Biology, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Luke T. Slater has authored 28 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Artificial Intelligence and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Luke T. Slater's work include Biomedical Text Mining and Ontologies (18 papers), Semantic Web and Ontologies (9 papers) and Topic Modeling (7 papers). Luke T. Slater is often cited by papers focused on Biomedical Text Mining and Ontologies (18 papers), Semantic Web and Ontologies (9 papers) and Topic Modeling (7 papers). Luke T. Slater collaborates with scholars based in United Kingdom, Saudi Arabia and Spain. Luke T. Slater's co-authors include Georgios V. Gkoutos, Karina V Bunting, Dipak Kotecha, Richard P. Steeds, Jennifer K. Rogers, Robert Hoehndorf, John A. Williams, Andreas Karwath, Victor Roth Cardoso and Paul N. Schofield and has published in prestigious journals such as The Lancet, Scientific Reports and Toxicology Letters.

In The Last Decade

Luke T. Slater

26 papers receiving 268 citations

Peers

Luke T. Slater
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 115
  • Artificial Intelligence 64
  • Molecular Biology 58
  • Radiology, Nuclear Medicine and Imaging 55
  • Epidemiology 35
Replace Elizabeth Lorenzi with:
Elizabeth Lorenzi United States
Ivan Lerner France
Vishesh Kumar United States
Sujay Kakarmath United States
Yi‐Lin Wu United States
Poemlarp Mekraksakit United States
Ramsey M. Wehbe United States
Shiyun Hu China
Marcus A. Urey United States
Alexander J. Ryu United States
Elizabeth Lorenzi United States View profile →
Citations per field, relative to Luke T. Slater
Luke T. Slater · 1×
Citations per year, relative to Luke T. Slater
Luke T. Slater · 1×

Countries citing papers authored by Luke T. Slater

Since Specialization
Citations

This map shows the geographic impact of Luke T. Slater'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 Luke T. Slater with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke T. Slater more than expected).

Fields of papers citing papers by Luke T. Slater

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke T. Slater. 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 Luke T. Slater. The network helps show where Luke T. Slater may publish in the future.

Co-authorship network of co-authors of Luke T. Slater

This figure shows the co-authorship network connecting the top 25 collaborators of Luke T. Slater. A scholar is included among the top collaborators of Luke T. Slater 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 Luke T. Slater. Luke T. Slater 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
# Work Indexed citations
1 1
2 4
3 0
4 4
5 1
6 3
7 1
8 15
9 11
10 12
11 3
12 9
13 1
14 61
15 13
16 109
17 9
18
AberOWL: An ontology portal with OWL EL reasoning
1
19
Visualizing ontologies with AberOWL
1
20 2

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026