Denise B. Catacutan
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Molecular Medicine top 10%
- Pharmacology
- Co-authors
- J StokesGary LiuKyle SwansonJames ZouAnush Chiappino-PepeBrian K. CoombesRegina BarzilayMichael G. Surette
- Topics
- Computational Drug Discovery Methods (3 papers)Innovative Microfluidic and Catalytic Techniques Innovation (1 paper)Antibiotic Resistance in Bacteria (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Denise B. Catacutan
3 papers receiving 337 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 150
- Computational Theory and Mathematics 112
- Materials Chemistry 61
- Molecular Medicine 46
- Pharmacology 34
Countries citing papers authored by Denise B. Catacutan
This map shows the geographic impact of Denise B. Catacutan'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 Denise B. Catacutan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise B. Catacutan more than expected).
Fields of papers citing papers by Denise B. Catacutan
This network shows the impact of papers produced by Denise B. Catacutan. 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 Denise B. Catacutan. The network helps show where Denise B. Catacutan may publish in the future.
Co-authorship network of co-authors of Denise B. Catacutan
This figure shows the co-authorship network connecting the top 25 collaborators of Denise B. Catacutan. A scholar is included among the top collaborators of Denise B. Catacutan 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 Denise B. Catacutan. Denise B. Catacutan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Generative AI for designing and validating easily synthesizable and structurally novel antibioticsbreakdown → | 83 |
| 3 | Machine learning in preclinical drug discoverybreakdown → | 80 |
| 4 | Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumanniibreakdown → | 183 |
About Denise B. Catacutan
Denise B. Catacutan is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Biophysics, having authored 4 papers that have together received 346 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Antibiotic Resistance in Bacteria (1 paper). The work is most often cited by research in Health Informatics (21 citations), Applied Microbiology and Biotechnology (23 citations) and Molecular Medicine (46 citations). Denise B. Catacutan has collaborated with scholars based in Canada and United States. Frequent co-authors include J Stokes, Gary Liu, Kyle Swanson, James Zou, Anush Chiappino-Pepe, Brian K. Coombes, Regina Barzilay, Michael G. Surette, Saad A. Syed and Tommi Jaakkola. Their work appears in journals such as Nature Chemical Biology, Nature Microbiology and Nature Machine Intelligence.
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.