Daan J. Touw

13.9k citations
426 papers · 9.4k indexed · 3 hit papers · h-index 48
Topics
Antibiotics Pharmacokinetics and Efficacy (92 papers)Cystic Fibrosis Research Advances (58 papers)Pharmaceutical studies and practices (40 papers)
Journals
Journal of Clinical InvestigationJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Daan J. Touw

391 papers receiving 9.1k citations

Hit Papers

Pharmacogenetics: From Bench to Byte— An Update of Guidel...2011202620162021201120192023200400600

Peers

Daan J. Touw
Comparison fields: 5 of 164
  • Pharmacology 2.3k
  • Pulmonary and Respiratory Medicine 1.9k
  • Epidemiology 1.8k
  • Pediatrics, Perinatology and Child Health 1.4k
  • Pharmacology 1.3k
Replace Gregory L. Kearns with:
Gregory L. Kearns United States
Nicholas H. G. Holford New Zealand
Andrew J. McLachlan Australia
Thierry Buclin Switzerland
Stephen B. Duffull New Zealand
William J. Jusko United States
Alexander A. Vinks United States
Laurent A. Décosterd Switzerland
Hartmut Derendorf United States
Donald W. Cockcroft Canada
Daan J. Touw relative to Gregory L. Kearns United States Gregory L. Kearns's profile →
Citations per field
00.5×5.2×
Gregory L. Kearns · 1×
Citations per year

Countries citing papers authored by Daan J. Touw

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Daan J. Touw

This figure shows the co-authorship network connecting the top 25 collaborators of Daan J. Touw. A scholar is included among the top collaborators of Daan J. Touw 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 Daan J. Touw. Daan J. Touw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 0
4 3
5 2
6 2
7 2
8 8
9 2
10 4
11 12
12 0
13 4
14 6
15 12
16 19
17 33
18 134
19 49
20 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) and Pharmaceutical studies and practices (40 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.

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