Daan J. Touw
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 27
- Pharmacology top 0.1%
- Antibiotics Pharmacokinetics and Efficacy 92
- Pharmacogenetics and Drug Metabolism 28
- Pharmacology top 0.2%
- Antibiotics Pharmacokinetics and Efficacy 92
- Pharmacogenetics and Drug Metabolism 28
- Transplantation top 1%
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- Cystic Fibrosis Research Advances 58
- Inhalation and Respiratory Drug Delivery 25
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- Pharmaceutical studies and practices 40
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- Pneumonia and Respiratory Infections 40
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- Biosimilars and Bioanalytical Methods 29
- Co-authors
- Harry HeijermanJan‐Willem C. AlffenaarAlexander A. VinksElsbeth M. WestermanRemco A. KosterAlan R SmythCees NeefJohan W. Mouton
- Cited by
- Molecular MedicinePharmacology
- Journals
- Journal of Clinical Investigation (1 paper)Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (11 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Daan J. Touw
391 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Medicine 771
- Pharmacology 1.3k
- Pharmacology 2.3k
- Transplantation 341
- Applied Microbiology and Biotechnology 158
Countries citing papers authored by Daan J. Touw
This map shows the geographic impact of Daan J. Touw'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 Daan J. Touw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daan J. Touw more than expected).
Fields of papers citing papers by Daan J. Touw
This network shows the impact of papers produced by Daan J. Touw. 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 Daan J. Touw. The network helps show where Daan J. Touw may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daan J. Touw, 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 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 6 | |
| 15 | 2020 | 12 | |
| 16 | 2019 | 19 | |
| 17 | 2017 | 33 | |
| 18 | 2008 | 134 | |
| 19 | 2005 | 49 | |
| 20 | 1999 | 1 |
About Daan J. Touw
Daan J. Touw is a scholar working on Pharmacology, Molecular Medicine and Pharmacology, having authored 426 papers that have together received 9.4k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (92 papers), Cystic Fibrosis Research Advances (58 papers), Pharmaceutical studies and practices (40 papers), Pneumonia and Respiratory Infections (40 papers), Biosimilars and Bioanalytical Methods (29 papers), Pharmacogenetics and Drug Metabolism (28 papers), Antibiotic Resistance in Bacteria (27 papers) and Inhalation and Respiratory Drug Delivery (25 papers). The work is most often cited by research in Molecular Medicine (771 citations), Pharmacology (1.3k citations) and Pharmacology (2.3k citations). Daan J. Touw has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Harry Heijerman, Jan‐Willem C. Alffenaar, Alexander A. Vinks, Elsbeth M. Westerman, Remco A. Koster, Alan R Smyth, Cees Neef, Johan W. Mouton, Bob Wilffert and Henk‐Jan Guchelaar. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.