Dolores Diaz
- Molecular Biology
- Pharmacology top 1%
- Oncology top 10%
- Computational Theory and Mathematics top 2%
- Biomedical Engineering
- Co-authors
- Peter J. O’BrienJinghai J. XuNina KaludercicCecile M. KrejsaM. R. SlaughterPaolo BernardiWilliam IrwinBo Gao
- Topics
- Computational Drug Discovery Methods (6 papers)Drug-Induced Hepatotoxicity and Protection (4 papers)Pharmacogenetics and Drug Metabolism (4 papers)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Dolores Diaz
22 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 618
- Pharmacology 270
- Oncology 259
- Computational Theory and Mathematics 203
- Biomedical Engineering 143
Countries citing papers authored by Dolores Diaz
This map shows the geographic impact of Dolores Diaz'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 Dolores Diaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dolores Diaz more than expected).
Fields of papers citing papers by Dolores Diaz
This network shows the impact of papers produced by Dolores Diaz. 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 Dolores Diaz. The network helps show where Dolores Diaz may publish in the future.
Co-authorship network of co-authors of Dolores Diaz
This figure shows the co-authorship network connecting the top 25 collaborators of Dolores Diaz. A scholar is included among the top collaborators of Dolores Diaz 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 Dolores Diaz. Dolores Diaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 25 | |
| 3 | 26 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 23 | |
| 7 | 69 | |
| 8 | 21 | |
| 9 | Mitigation of opioid off-target effects and identification of structural drivers of opioid receptor engagement for BACE-1 small molecule inhibitors. | 2 |
| 10 | 10 | |
| 11 | 256 | |
| 12 | 16 | |
| 13 | 9 | |
| 14 | 78 | |
| 15 | 22 | |
| 16 | 15 | |
| 17 | 72 | |
| 18 | 5 | |
| 19 | High concordance of drug-induced human hepatotoxicity with in vitro cytotoxicity measured in a novel cell-based model using high content screeningbreakdown → | 472 |
| 20 | 173 |
About Dolores Diaz
Dolores Diaz is a scholar working on Pharmacology, Computational Theory and Mathematics and Oncology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Drug-Induced Hepatotoxicity and Protection (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Pharmacology (270 citations), Hepatology (118 citations) and Computational Theory and Mathematics (203 citations). Dolores Diaz has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Peter J. O’Brien, Jinghai J. Xu, Nina Kaludercic, Cecile M. Krejsa, M. R. Slaughter, Paolo Bernardi, William Irwin, Bo Gao, P. Brain and Mark Merchant. Their work appears in journals such as PLoS ONE, Cancer Research and International Journal of Molecular Sciences.
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.