Geert-Jan Dinant

873 total citations
29 papers, 606 citations indexed

About

Geert-Jan Dinant is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Family Practice. According to data from OpenAlex, Geert-Jan Dinant has authored 29 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in General Health Professions, 7 papers in Public Health, Environmental and Occupational Health and 4 papers in Family Practice. Recurrent topics in Geert-Jan Dinant's work include Healthcare cost, quality, practices (6 papers), Antibiotic Use and Resistance (4 papers) and Emergency and Acute Care Studies (4 papers). Geert-Jan Dinant is often cited by papers focused on Healthcare cost, quality, practices (6 papers), Antibiotic Use and Resistance (4 papers) and Emergency and Acute Care Studies (4 papers). Geert-Jan Dinant collaborates with scholars based in Netherlands, United Kingdom and Belgium. Geert-Jan Dinant's co-authors include Jochen Cals, Marloes Amantia van Bokhoven, Trudy van der Weijden, Eefje de Bont, Richard Grol, Frank Buntinx, David Mant, Ann Van den Bruel, Hèlen Koch and Christopher Butler and has published in prestigious journals such as BMJ Open, BMC Musculoskeletal Disorders and The Annals of Family Medicine.

In The Last Decade

Geert-Jan Dinant

28 papers receiving 584 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Geert-Jan Dinant Netherlands 13 231 111 106 101 89 29 606
Connie M. Parenti United States 14 136 0.6× 134 1.2× 52 0.5× 135 1.3× 181 2.0× 33 763
David C. Stockwell United States 19 141 0.6× 83 0.7× 81 0.8× 80 0.8× 218 2.4× 51 880
Jennifer L. Kuntz United States 18 107 0.5× 308 2.8× 77 0.7× 107 1.1× 23 0.3× 56 941
Giulio Toccafondi Italy 8 243 1.1× 187 1.7× 29 0.3× 96 1.0× 169 1.9× 18 724
Ruth Ester Assayag Batista Brazil 15 220 1.0× 58 0.5× 31 0.3× 101 1.0× 129 1.4× 92 706
T Haj-Hassan United Kingdom 4 84 0.4× 389 3.5× 31 0.3× 189 1.9× 177 2.0× 5 729
Keith Mann United States 13 114 0.5× 134 1.2× 26 0.2× 128 1.3× 127 1.4× 33 486
André Carlos Kajdacsy-Balla Amaral Canada 18 139 0.6× 226 2.0× 26 0.2× 117 1.2× 240 2.7× 48 869
Robert Mulliken United States 10 244 1.1× 108 1.0× 40 0.4× 36 0.4× 350 3.9× 11 595
Wendy Nickel United States 9 253 1.1× 84 0.8× 28 0.3× 62 0.6× 68 0.8× 10 528

Countries citing papers authored by Geert-Jan Dinant

Since Specialization
Citations

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

Fields of papers citing papers by Geert-Jan Dinant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geert-Jan Dinant. 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 Geert-Jan Dinant. The network helps show where Geert-Jan Dinant may publish in the future.

Co-authorship network of co-authors of Geert-Jan Dinant

This figure shows the co-authorship network connecting the top 25 collaborators of Geert-Jan Dinant. A scholar is included among the top collaborators of Geert-Jan Dinant 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 Geert-Jan Dinant. Geert-Jan Dinant 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
3.
Dinant, Geert-Jan, et al.. (2022). Physician-Targeted Interventions in Antibiotic Prescribing for Urinary Tract Infections in General Practice: A Systematic Review. Antibiotics. 11(11). 1560–1560. 6 indexed citations
4.
Dinant, Geert-Jan, et al.. (2019). Diagnostic accuracy of dynamic ultrasound imaging in partial and complete anterior cruciate ligament tears: a retrospective study in 247 patients. BMJ Open Sport & Exercise Medicine. 5(1). e000605–e000605. 11 indexed citations
5.
Bont, Eefje de, Geert-Jan Dinant, Gijs Elshout, et al.. (2019). Een boekje brengt verbetering. Huisarts en Wetenschap. 62(6). 14–18.
6.
Dinant, Geert-Jan, et al.. (2015). [Diagnostic tests in GP out-of-hours services in the Netherlands].. PubMed. 159. A9022–A9022. 2 indexed citations
7.
Bont, Eefje de, et al.. (2015). Patient information leaflets to reduce antibiotic use and reconsultation rates in general practice: a systematic review. BMJ Open. 5(6). e007612–e007612. 70 indexed citations
8.
Bont, Eefje de, et al.. (2015). Workload and management of childhood fever at general practice out-of-hours care: an observational cohort study. BMJ Open. 5(5). e007365–e007365. 42 indexed citations
9.
Ronda, Gaby, et al.. (2015). Diagnostische zelftests: gebruik en betrouwbaarheid. Huisarts en Wetenschap. 58(2). 74–76. 1 indexed citations
10.
Bont, Eefje de, et al.. (2015). Childhood fever: a qualitative study on parents’ expectations and experiences during general practice out-of-hours care consultations. BMC Family Practice. 16(1). 131–131. 49 indexed citations
11.
Ottenheijm, Ramon P G, Manuela Joore, Geert H.I.M. Walenkamp, et al.. (2011). The Maastricht Ultrasound Shoulder pain trial (MUST): Ultrasound imaging as a diagnostic triage tool to improve management of patients with non-chronic shoulder pain in primary care. BMC Musculoskeletal Disorders. 12(1). 154–154. 41 indexed citations
12.
Murchie, Peter, et al.. (2011). European differences in cancer survival: report of an international symposium of general practitioners from three countries exploring primary and secondary care delay.. PubMed. 19(4). 255–62. 3 indexed citations
13.
Degryse, Jean‐Marie, et al.. (2010). Impact of early childhood air pollution on respiratory status of school children. European Journal of General Practice. 16(3). 133–138. 8 indexed citations
14.
Koch, Hèlen, Marloes Amantia van Bokhoven, Gerben ter Riet, et al.. (2009). What makes general practitioners order blood tests for patients with unexplained complaints? A cross-sectional study. European Journal of General Practice. 15(1). 22–28. 18 indexed citations
15.
Buntinx, Frank, et al.. (2007). Industrial air pollution and children's respiratory health: A natural experiment in Călăraşi. European Journal of General Practice. 13(3). 135–143. 13 indexed citations
16.
Bokhoven, Marloes Amantia van, et al.. (2006). Why do patients want to have their blood tested? A qualitative study of patient expectations in general practice. BMC Family Practice. 7(1). 75–75. 48 indexed citations
17.
Groot, Imelda J. M. de, et al.. (2006). Comparison of two recruitment strategies for patients with chronic shoulder complaints.. PubMed. 56(523). 127–33. 14 indexed citations
18.
Schneider, Antonius, Geert-Jan Dinant, & Joachim Szécsényi. (2006). [Stepwise diagnostic workup in general practice as a consequence of the Bayesian reasoning].. PubMed. 100(2). 121–7. 12 indexed citations
19.
Weijden, Trudy van der, et al.. (2002). Understanding laboratory testing in diagnostic uncertainty: a qualitative study in general practice.. PubMed. 52(485). 974–80. 112 indexed citations
20.
Dinant, Geert-Jan, Jan De Maeseneer, & Anselme Derese. (1993). How many ROC-curves fit into one general practitioner?: the paradox between medical decision making and daily general practice. Ghent University Academic Bibliography (Ghent University). 4 indexed citations

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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