David Z. D’Argenio
- Molecular Biology
- Pharmacology top 2%
- Oncology top 10%
- Infectious Diseases top 5%
- Statistics and Probability top 2%
- Co-authors
- Alan SchumitzkyDarryl KatzGeorge L. DrusanoMerrill J. EgorinJulie L. EisemanSusan M. BlaneyStacey L. BergSharon E. Plon
- Topics
- Statistical Methods in Clinical Trials (14 papers)Antibiotics Pharmacokinetics and Efficacy (12 papers)Analytical Chemistry and Chromatography (8 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
David Z. D’Argenio
94 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 594
- Pharmacology 384
- Oncology 326
- Infectious Diseases 294
- Statistics and Probability 260
Countries citing papers authored by David Z. D’Argenio
This map shows the geographic impact of David Z. D’Argenio'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 David Z. D’Argenio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Z. D’Argenio more than expected).
Fields of papers citing papers by David Z. D’Argenio
This network shows the impact of papers produced by David Z. D’Argenio. 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 David Z. D’Argenio. The network helps show where David Z. D’Argenio may publish in the future.
Co-authorship network of co-authors of David Z. D’Argenio
This figure shows the co-authorship network connecting the top 25 collaborators of David Z. D’Argenio. A scholar is included among the top collaborators of David Z. D’Argenio 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 David Z. D’Argenio. David Z. D’Argenio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 44 | |
| 9 | 25 | |
| 10 | 27 | |
| 11 | 12 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 21 | |
| 15 | 94 | |
| 16 | 40 | |
| 17 | 45 | |
| 18 | 30 | |
| 19 | Bayesian Analysis of Pharmacokinetic Models with Applications to Dosing Regimen Determination | 1 |
| 20 | A Time-Shared Computer Program for Adaptive Control of Lidocaine Therapy Using an Optimal Strategy for Obtaining Serum Concentrations. | 2 |
About David Z. D’Argenio
David Z. D’Argenio is a scholar working on Statistics and Probability, Virology and Statistics, Probability and Uncertainty, having authored 96 papers that have together received 2.3k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (14 papers), Antibiotics Pharmacokinetics and Efficacy (12 papers) and Analytical Chemistry and Chromatography (8 papers). The work is most often cited by research in Statistics and Probability (260 citations), Pharmacology (384 citations) and Virology (88 citations). David Z. D’Argenio has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Alan Schumitzky, Darryl Katz, George L. Drusano, Merrill J. Egorin, Julie L. Eiseman, Susan M. Blaney, Stacey L. Berg, Sharon E. Plon, Terzah M. Horton and Walter Wolf. Their work appears in journals such as Journal of Clinical Investigation, Bioinformatics and PLoS ONE.
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.