F. M. Haaijer-Ruskamp

1.2k citations
20 papers · 922 indexed · h-index 11

F. M. Haaijer-Ruskamp

19 papers receiving 869 citations

Peers

F. M. Haaijer-Ruskamp
Comparison fields: 5 of 96
  • Applied Microbiology and Biotechnology 506
  • Geriatrics and Gerontology 259
  • Family Practice 47
  • Molecular Medicine 89
  • Medical Terminology 3
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Citations per field
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Citations per year

Countries citing papers authored by F. M. Haaijer-Ruskamp

Since Specialization
Citations

This map shows the geographic impact of F. M. Haaijer-Ruskamp'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 F. M. Haaijer-Ruskamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. M. Haaijer-Ruskamp more than expected).

Fields of papers citing papers by F. M. Haaijer-Ruskamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. M. Haaijer-Ruskamp. 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 F. M. Haaijer-Ruskamp. The network helps show where F. M. Haaijer-Ruskamp may publish in the future.

Co-authorship network

The 25 scholars most cited alongside F. M. Haaijer-Ruskamp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. M. Haaijer-Ruskamp Line = papers co-authored together F. M. Haaijer-Ruskamp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20132
2 2008171
3 2007181
4 2006128
5
Prescribing quality indicators for type 2 diabetes
20050
6
Patient, doctor, and organisational factors affecting hypertension management in patients with type 2 diabetes
20042
7 200425
8 200438
9 20013
10
Comparison of indicators assessing the quality of drug prescribing for asthma.
200122
11 200024
12 1999191
13
Impact of feedback and peer review on prescribing.
19957
14 199410
15 199350
16 19924
17 199238
18 19915
19 199119
20 19872

About F. M. Haaijer-Ruskamp

F. M. Haaijer-Ruskamp is a scholar working on Applied Microbiology and Biotechnology, Geriatrics and Gerontology, General Decision Sciences, Pharmacology and Family Practice, having authored 20 papers that have together received 922 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Antibiotic Use and Resistance (4 papers), Pharmaceutical industry and healthcare (3 papers), Pneumonia and Respiratory Infections (2 papers), Decision-Making and Behavioral Economics (2 papers), Prenatal Substance Exposure Effects (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (506 citations), Geriatrics and Gerontology (259 citations), Family Practice (47 citations), Molecular Medicine (89 citations) and Medical Terminology (3 citations). F. M. Haaijer-Ruskamp has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include HV Hogerzeil, A. le Grand, Dominique L. Monnet, Petra Denig, Robert Vander Stichele, Elizabeth Scicluna, Johannes G. M. Burgerhof, Larissa Grigoryan, J. E. Degener and Cecilia Stålsby Lundborg. Their work appears in journals such as European Journal of Clinical Pharmacology, Journal of Antimicrobial Chemotherapy, Health Policy and Planning, European Journal of General Practice and European Respiratory Journal.

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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