David van Duin
Impact in
- Molecular Medicine top 0.01%
- Antibiotic Resistance in Bacteria
- Applied Microbiology and Biotechnology top 0.02%
- Antibiotic Use and Resistance
Papers in
-
- Antibiotic Resistance in Bacteria 93
-
- Antibiotic Use and Resistance 31
- Co-authors
- Robert A. BonomoYohei DoiDavid L. PatersonCornelius J. ClancyAmy J. MathersPranita D. TammaSamuel L AitkenAlbert C. Shaw
- Journals
- Clinical Infectious Diseases (22 papers)Antimicrobial Agents and Chemotherapy (22 papers)Open Forum Infectious Diseases (20 papers)Infection Control and Hospital Epidemiology (9 papers)Clinical Microbiology and Infection (6 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
David van Duin
163 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Medicine 5.5k
- Applied Microbiology and Biotechnology 2.0k
- Endocrinology 1.5k
- Clinical Biochemistry 1.1k
- Pharmacology 2.8k
Countries citing papers authored by David van Duin
This map shows the geographic impact of David van Duin'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 van Duin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David van Duin more than expected).
Fields of papers citing papers by David van Duin
This network shows the impact of papers produced by David van Duin. 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 van Duin. The network helps show where David van Duin may publish in the future.
Co-authors
The 25 scholars most cited alongside David van Duin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 15 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 60 | |
| 14 | 2022 | 72 | |
| 15 | 2021 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 2018 | 0 | |
| 18 | 2017 | 27 | |
| 19 | 2010 | 418 | |
| 20 | 2004 | 59 |
About David van Duin
David van Duin is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Endocrinology, Clinical Biochemistry and Pharmacology, having authored 176 papers that have together received 9.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (93 papers), Antibiotics Pharmacokinetics and Efficacy (44 papers), Antibiotic Use and Resistance (31 papers), Bacterial Identification and Susceptibility Testing (21 papers), Urinary Tract Infections Management (17 papers), Burn Injury Management and Outcomes (15 papers), Pneumocystis jirovecii pneumonia detection and treatment (13 papers) and Enterobacteriaceae and Cronobacter Research (12 papers). The work is most often cited by research in Molecular Medicine (5.5k citations), Applied Microbiology and Biotechnology (2.0k citations), Endocrinology (1.5k citations), Clinical Biochemistry (1.1k citations) and Pharmacology (2.8k citations). David van Duin has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Robert A. Bonomo, Yohei Doi, David L. Paterson, Cornelius J. Clancy, Amy J. Mathers, Pranita D. Tamma, Samuel L Aitken, Albert C. Shaw, Keith S. Kaye and Federico Pérez. Their work appears in journals such as Clinical Infectious Diseases, Antimicrobial Agents and Chemotherapy, Open Forum Infectious Diseases, Infection Control and Hospital Epidemiology and Clinical Microbiology and Infection.
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.