Dinanda J. de Jager

1.4k total citations · 1 hit paper
15 papers, 1.0k citations indexed

About

Dinanda J. de Jager is a scholar working on Nephrology, Economics and Econometrics and Surgery. According to data from OpenAlex, Dinanda J. de Jager has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nephrology, 4 papers in Economics and Econometrics and 3 papers in Surgery. Recurrent topics in Dinanda J. de Jager's work include Dialysis and Renal Disease Management (11 papers), Chronic Kidney Disease and Diabetes (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Dinanda J. de Jager is often cited by papers focused on Dialysis and Renal Disease Management (11 papers), Chronic Kidney Disease and Diabetes (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Dinanda J. de Jager collaborates with scholars based in Netherlands, Norway and Italy. Dinanda J. de Jager's co-authors include Friedo W. Dekker, Diana C. Grootendorst, Kitty J. Jager, Marc Vervloet, A. Foss, Kristian Heldal, A. Hartmann, Karsten Midtvedt, Carmine Zoccali and Patrik Finne and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Clinical Journal of the American Society of Nephrology.

In The Last Decade

Dinanda J. de Jager

15 papers receiving 1.0k citations

Hit Papers

Cardiovascular and Noncardiovascular Mortality Among Pati... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dinanda J. de Jager Netherlands 11 573 234 218 154 131 15 1.0k
Şehsuvar Ertürk Türkiye 16 524 0.9× 284 1.2× 236 1.1× 119 0.8× 114 0.9× 61 1.1k
Aleksandra Żurowska Poland 21 620 1.1× 229 1.0× 167 0.8× 243 1.6× 63 0.5× 79 1.5k
Wookyung Chung South Korea 22 844 1.5× 331 1.4× 247 1.1× 254 1.6× 102 0.8× 105 1.6k
Karl‐Göran Prütz Sweden 16 815 1.4× 244 1.0× 97 0.4× 156 1.0× 89 0.7× 24 1.1k
Conall M. O’Seaghdha Ireland 21 609 1.1× 253 1.1× 214 1.0× 195 1.3× 220 1.7× 48 1.3k
Martin Wagner Germany 16 295 0.5× 113 0.5× 201 0.9× 120 0.8× 71 0.5× 37 788
Alferso C Abrahams Netherlands 19 527 0.9× 246 1.1× 65 0.3× 156 1.0× 135 1.0× 83 1.0k
Ana María Cusumano Argentina 15 610 1.1× 93 0.4× 115 0.5× 73 0.5× 89 0.7× 42 1.1k
Rahul Chanchlani Canada 18 476 0.8× 232 1.0× 154 0.7× 143 0.9× 61 0.5× 104 981
Ji Yong Jung South Korea 19 602 1.1× 184 0.8× 193 0.9× 222 1.4× 32 0.2× 92 1.1k

Countries citing papers authored by Dinanda J. de Jager

Since Specialization
Citations

This map shows the geographic impact of Dinanda J. de Jager'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 Dinanda J. de Jager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinanda J. de Jager more than expected).

Fields of papers citing papers by Dinanda J. de Jager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dinanda J. de Jager. 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 Dinanda J. de Jager. The network helps show where Dinanda J. de Jager may publish in the future.

Co-authorship network of co-authors of Dinanda J. de Jager

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

All Works

15 of 15 papers shown
1.
Goeij, Moniek C.M. de, Joris I. Rotmans, X. Matthijssen, et al.. (2015). Lipid Levels and Renal Function Decline in Pre-Dialysis Patients. SHILAP Revista de lepidopterología. 5(1). 19–29. 5 indexed citations
2.
Jager, Dinanda J. de, Marc Vervloet, & Friedo W. Dekker. (2014). Noncardiovascular mortality in CKD: an epidemiological perspective. Nature Reviews Nephrology. 10(4). 208–214. 50 indexed citations
3.
Jager, Dinanda J. de, Nynke Halbesma, Raymond T. Krediet, et al.. (2013). Is the decline of renal function different before and after the start of dialysis?. Nephrology Dialysis Transplantation. 28(3). 698–705. 19 indexed citations
4.
Goeij, Moniek C.M. de, Dinanda J. de Jager, Diana C. Grootendorst, et al.. (2012). Association of Blood Pressure with the Start of Renal Replacement Therapy in Elderly Compared with Young Patients Receiving Predialysis Care. American Journal of Hypertension. 25(11). 1175–1181. 3 indexed citations
5.
Goeij, Moniek C.M. de, Madieke I. Liem, Dinanda J. de Jager, et al.. (2012). Proteinuria as a Risk Marker for the Progression of Chronic Kidney Disease in Patients on Predialysis Care and the Role of Angiotensin-Converting Enzyme Inhibitor/Angiotensin II Receptor Blocker Treatment. Nephron Clinical Practice. 121(1-2). c73–c82. 8 indexed citations
6.
Carrero, Juan Jesús, Dinanda J. de Jager, Marion Verduijn, et al.. (2011). Cardiovascular and Noncardiovascular Mortality among Men and Women Starting Dialysis. Clinical Journal of the American Society of Nephrology. 6(7). 1722–1730. 110 indexed citations
7.
Voormolen, Nora, Nynke Halbesma, Dinanda J. de Jager, et al.. (2011). Association of blood pressure with decline in renal function and time until the start of renal replacement therapy in pre-dialysis patients: a cohort study. BMC Nephrology. 12(1). 38–38. 15 indexed citations
8.
Jager, Dinanda J. de, et al.. (2011). Reporting of Interaction. Nephron Clinical Practice. 119(2). c158–c161. 30 indexed citations
9.
Jager, Dinanda J. de, et al.. (2011). Interaction on an Additive Scale. Nephron Clinical Practice. 119(2). c154–c157. 20 indexed citations
10.
Koopman, Jacob J.E., Maarten Pieter Rozing, Anneke Kramer, et al.. (2010). Senescence rates in patients with end‐stage renal disease: a critical appraisal of the Gompertz model. Aging Cell. 10(2). 233–238. 22 indexed citations
11.
Jager, Dinanda J. de, Nora Voormolen, R. T. Krediet, et al.. (2010). Association between time of referral and survival in the first year of dialysis in diabetics and the elderly. Nephrology Dialysis Transplantation. 26(2). 652–658. 37 indexed citations
12.
Heldal, Kristian, A. Hartmann, Diana C. Grootendorst, et al.. (2009). Benefit of kidney transplantation beyond 70 years of age. Nephrology Dialysis Transplantation. 25(5). 1680–1687. 113 indexed citations
13.
Jager, Dinanda J. de. (2009). Cardiovascular and Noncardiovascular Mortality Among Patients Starting Dialysis. JAMA. 302(16). 1782–1782. 562 indexed citations breakdown →
14.
Grootendorst, Diana C., Dinanda J. de Jager, Vincent Brandenburg, et al.. (2007). Excellent agreement between C-reactive protein measurement methods in end-stage renal disease patients no additional power for mortality prediction with high-sensitivity CRP. Nephrology Dialysis Transplantation. 22(11). 3277–3284. 27 indexed citations
15.
Hochhaus, Günther, et al.. (2006). Do intensive care patients need an individualized dosing regimen for levofloxacin?. International Journal of Clinical Pharmacology and Therapeutics. 44(6). 262–269. 5 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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