Sabina De Geest
About
Sabina De Geest is a scholar working on Transplantation, Family Practice and General Health Professions.
According to data from OpenAlex, Sabina De Geest has authored 423 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Transplantation, 93 papers in Family Practice and 91 papers in General Health Professions. Recurrent topics in Sabina De Geest's work include Renal Transplantation Outcomes and Treatments (107 papers), Medication Adherence and Compliance (93 papers) and Pregnancy and Medication Impact (40 papers). Sabina De Geest is often cited by papers focused on Renal Transplantation Outcomes and Treatments (107 papers), Medication Adherence and Compliance (93 papers) and Pregnancy and Medication Impact (40 papers). Sabina De Geest collaborates with scholars based in Switzerland, Belgium and United States. Sabina De Geest's co-authors include Fabienne Dobbels, Philip Moons, Kris Denhaerynck, René Schwendimann, Johan Vanhaecke, Maria Schubert, Werner Budts, Todd Ruppar, Ivo Abraham and Koen Milisen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Annals of Internal Medicine.
In The Last Decade
Sabina De Geest
404 papers receiving 16.3k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Sabina De Geest Switzerland | 64 | 4.2k | 3.6k | 3.4k | 2.9k | 2.9k | 423 | 16.9k | ||
| Fabienne Dobbels Belgium | 58 | 2.4k 0.6× | 4.4k 1.2× | 876 0.3× | 1.6k 0.6× | 1.7k 0.6× | 229 | 15.5k | ||
| Robert Horne United Kingdom | 46 | 4.1k 1.0× | 169 0.0× | 2.3k 0.7× | 2.2k 0.8× | 1.2k 0.4× | 154 | 13.0k | ||
| Braden Manns Canada | 80 | 450 0.1× | 702 0.2× | 3.3k 1.0× | 519 0.2× | 2.4k 0.8× | 478 | 22.3k | ||
| Joel S. Weissman United States | 59 | 582 0.1× | 436 0.1× | 4.6k 1.3× | 317 0.1× | 2.5k 0.9× | 288 | 12.3k | ||
| Lisa A. Cooper United States | 72 | 380 0.1× | 324 0.1× | 7.9k 2.3× | 1.2k 0.4× | 5.5k 1.9× | 300 | 19.1k | ||
| Connie L. Davis United States | 54 | 149 0.0× | 2.7k 0.8× | 2.7k 0.8× | 743 0.3× | 2.2k 0.8× | 145 | 12.5k | ||
| C. Ronald MacKenzie United States | 23 | 760 0.2× | 167 0.0× | 4.1k 1.2× | 2.8k 1.0× | 3.6k 1.3× | 57 | 42.3k | ||
| Elizabeth Manias Australia | 50 | 1.1k 0.3× | 191 0.1× | 3.2k 0.9× | 652 0.2× | 1.4k 0.5× | 409 | 9.7k | ||
| Kathy L. Aleš United States | 17 | 734 0.2× | 162 0.0× | 3.9k 1.1× | 2.6k 0.9× | 3.5k 1.2× | 35 | 40.9k | ||
| Reem A. Mustafa United States | 59 | 1.1k 0.3× | 98 0.0× | 1.7k 0.5× | 742 0.3× | 2.0k 0.7× | 226 | 15.7k |
Countries citing papers authored by Sabina De Geest
Since
Specialization
Citations
This map shows the geographic impact of Sabina De Geest'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 Sabina De Geest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabina De Geest more than expected).
Fields of papers citing papers by Sabina De Geest
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Sabina De Geest. 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 Sabina De Geest. The network helps show where Sabina De Geest may publish in the future.
Co-authorship network of co-authors of Sabina De Geest
This figure shows the co-authorship network connecting the top 25 collaborators of Sabina De Geest. A scholar is included among the top collaborators of Sabina De Geest 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 Sabina De Geest. Sabina De Geest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Smet, Stefan De, Steffen Fieuws, Kaatje Goetschalckx, et al.. (2025). Home-based exercise and PHysical activity maintenance interventiOn after livEr traNsplantation: Impact of eXercise intensity (PHOENIX-Liver). BMJ Open Sport & Exercise Medicine. 11(1). e002436–e002436.
2.
Kaier, Klaus, et al.. (2024). Evaluating the cost, cost-effectiveness and survival of an eHealth-facilitated integrated care model for allogeneic stem cell transplantation: Results of the German SMILe randomized, controlled implementation science trial. European Journal of Oncology Nursing. 74. 102740–102740.
3.
Ausserhofer, Dietmar, et al.. (2024). Characteristics and Activities of Nurses in Expanded Roles Employed in Swiss Nursing Homes: A Cross‐Sectional Study. International Journal of Older People Nursing. 19(4). e12631–e12631.
4.
Denhaerynck, Kris, et al.. (2022). A Secondary Analysis from The International BRIGHT Study For Gender Differences In Adherence To Nonpharmacological Health-Related Behaviors After Heart Transplantation. Progress in Transplantation. 32(2). 138–147.
5.
Denhaerynck, Kris, Alexander S. Goldfarb‐Rumyantzev, Gurprataap Singh Sandhu, et al.. (2021). Pre‐transplant Social Adaptability Index and clinical outcomes in renal transplantation: The Swiss Transplant Cohort study. Clinical Transplantation. 35(4). e14218–e14218.
6.
Ausserhofer, Dietmar, Mieke Deschodt, Sabina De Geest, et al.. (2016). “There's No Place Like Home”: A Scoping Review on the Impact of Homelike Residential Care Models on Resident-, Family-, and Staff-Related Outcomes. Journal of the American Medical Directors Association. 17(8). 685–693.
7.
Sanders‐Pinheiro, Helady, et al.. (2013). Risk Factors to Non-Adherence in Kidney Transplantation Patients Applying Triangulation Methodology in a Universal Access Medication Health System. American Journal of Transplantation. 13. 273–274.
8.
Glass, Tracy R., Manuel Battegay, Matthias Cavassini, et al.. (2010). Longitudinal Analysis of Patterns and Predictors of Changes in Self-Reported Adherence to Antiretroviral Therapy: Swiss HIV Cohort Study. JAIDS Journal of Acquired Immune Deficiency Syndromes. 54(2). 197–203.
9.
Schubert, Maria, Tracy R. Glass, Sean P. Clarke, et al.. (2008). Rationing of nursing care and its relationship to patient outcomes: the Swiss extension of the International Hospital Outcomes Study. International Journal for Quality in Health Care. 20(4). 227–237.
10.
Wijngaerden, Eric Van, et al.. (2006). Use of Electronic Monitoring induces a 42 days intervention effect in HIV-patients. 5. 57–82.
11.
Schäfer‐Keller, Petra, Michael Dickenmann, Jürg Steiger, & Sabina De Geest. (2006). Computerized patient education in kidney transplantation. Testing the content validity and usability of the Organ Transplant Information SystemTM. Preliminary findings. Schweizerische medizinische Wochenschrift. 52.
12.
Steiger, Jürg, et al.. (2005). Using electronic monitoring as reference standard: How well do state of measurement methods assess non-adherence to immunosuppressive drugs in kidney transplant patients?. American Journal of Transplantation. 5. 331–331.
13.
Dobbels, Fabienne, Johan Vanhaecke, Frederik Nevens, et al.. (2005). Pretransplant psychosocial and behavioral characteristics of heart, lung and liver transplant candidates: a comparative study. American Journal of Transplantation. 5. 491–491.
14.
Milisen, Koen, et al.. (2005). Psychometric properties of the Flemish translation of the NEECHAM Confusion Scale in older patients with hip fracture. BMC Psychiatry. 5.
15.
Milisen, Koen, et al.. (2004). The strain of care for Delirium Index: a new instrument to assess nurses’ strain in caring for patients with delirium. International Journal of Nursing Studies. 41(7). 775–783.
16.
Deyk, Kristien Van, Philip Moons, Sabina De Geest, Marc Gewillig, & Werner Budts. (2003). Severity of congenital heart disease shows a weak association with patients quality of life. European Heart Journal. 24. 8–8.
17.
Wijngaerden, Eric Van, Anne–Mieke Vandamme, Kristien Van Vaerenbergh, et al.. (2002). Nonadherence to Highly Active Antiretroviral Therapy: Clinically Relevant Patient Categorization Based on Electronic Event Monitoring. AIDS Research and Human Retroviruses. 18(5). 327–330.
18.
Moons, Philip, et al.. (2001). What do adult patients with congenital heart disease know about their disease, treatment, and prevention of complications?. European Heart Journal. 22. 84–84.
19.
Geest, Sabina De, Philip Moons, Fabienne Dobbels, Sandra Martin, & Johan Vanhaecke. (2001). Profiles of Patients Who Experienced a Late Acute Rejection Due to Nonadherence with Immunosuppressive Therapy. The Journal of Cardiovascular Nursing. 16(1). 1–14.
20.
Milisen, Koen, Ivo Abraham, Marquis Foreman, et al.. (1999). Early detection of delirium in elderly hip fracture patients: An intervention study. Journal of the American Geriatrics Society. 47(9).
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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