GJ Navis

1.2k total citations
22 papers, 917 citations indexed

About

GJ Navis is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology. According to data from OpenAlex, GJ Navis has authored 22 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Nephrology. Recurrent topics in GJ Navis's work include Hormonal Regulation and Hypertension (8 papers), Renin-Angiotensin System Studies (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). GJ Navis is often cited by papers focused on Hormonal Regulation and Hypertension (8 papers), Renin-Angiotensin System Studies (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). GJ Navis collaborates with scholars based in Netherlands, Pakistan and United States. GJ Navis's co-authors include Harry van Goor, Inge Hamming, A. Titia Lely, B. Daan Westenbrink, H. L. Hillege, Tom D.J. Smilde, Dirk J. van Veldhuisen, Dick de Zeeuw, Vishal S. Vaidya and Kevin Damman and has published in prestigious journals such as Journal of the American Society of Nephrology, European Heart Journal and Anesthesiology.

In The Last Decade

GJ Navis

22 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
GJ Navis Netherlands 14 436 290 203 135 113 22 917
Hiroki Hase Japan 19 466 1.1× 525 1.8× 176 0.9× 251 1.9× 171 1.5× 76 1.3k
S Oren Israel 11 747 1.7× 292 1.0× 458 2.3× 50 0.4× 118 1.0× 28 1.2k
Nadia Rubis Italy 12 546 1.3× 641 2.2× 395 1.9× 49 0.4× 142 1.3× 14 1.2k
Szu-Chun Hung Taiwan 18 205 0.5× 530 1.8× 231 1.1× 221 1.6× 147 1.3× 30 1.3k
Katerina Marathias Greece 17 226 0.5× 139 0.5× 55 0.3× 203 1.5× 167 1.5× 25 841
Roberto Palla Italy 19 175 0.4× 797 2.7× 146 0.7× 178 1.3× 177 1.6× 58 1.4k
Kentaro Kohagura Japan 17 275 0.6× 552 1.9× 384 1.9× 74 0.5× 126 1.1× 56 1.1k
Iris Kingma Canada 21 685 1.6× 372 1.3× 106 0.5× 350 2.6× 251 2.2× 39 1.4k
Silvia Ferrari Italy 14 77 0.2× 481 1.7× 213 1.0× 83 0.6× 154 1.4× 25 1.1k
Bregtje A. Lemkes Netherlands 8 209 0.5× 168 0.6× 171 0.8× 55 0.4× 144 1.3× 13 942

Countries citing papers authored by GJ Navis

Since Specialization
Citations

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

Fields of papers citing papers by GJ Navis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by GJ Navis. 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 GJ Navis. The network helps show where GJ Navis may publish in the future.

Co-authorship network of co-authors of GJ Navis

This figure shows the co-authorship network connecting the top 25 collaborators of GJ Navis. A scholar is included among the top collaborators of GJ Navis 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 GJ Navis. GJ Navis 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
1.
Vries, Liat de, Anneke C. Muller Kobold, Ido P. Kema, et al.. (2013). Serum Aldosterone and Graft Function in Prednisolone-Treated Renal Transplant Recipients.. American Journal of Transplantation. 13. 424–424. 1 indexed citations
2.
Kwakernaak, Arjan J., et al.. (2013). Body mass index and body fat distribution as renal risk factors: a focus on the role of renal haemodynamics. Nephrology Dialysis Transplantation. 28(suppl 4). iv42–iv49. 41 indexed citations
3.
Krikken, Jan A., et al.. (2011). Higher body mass index is associated with higher fractional creatinine excretion in healthy subjects. Nephrology Dialysis Transplantation. 26(10). 3181–3188. 22 indexed citations
4.
Waanders, Femke, Jan A. Krikken, Hiddo J.L. Heerspink, et al.. (2011). Performance of MDRD study and CKD-EPI equations for long-term follow-up of nondiabetic patients with chronic kidney disease. Nephrology Dialysis Transplantation. 27(suppl 3). iii89–iii95. 26 indexed citations
5.
Damman, Kevin, Dirk J. van Veldhuisen, GJ Navis, et al.. (2010). Tubular damage in chronic systolic heart failure is associated with reduced survival independent of glomerular filtration rate. Heart. 96(16). 1297–1302. 159 indexed citations
6.
Vogt, Liffert, et al.. (2010). OPTIMAL DOSING TIME FOR THE LONG-ACTING ACE INHIBITOR TRANDOLAPRIL IN NON-DIABETIC KIDNEY DISEASE: PP.24.468. Journal of Hypertension. 28. e387–e387. 2 indexed citations
7.
Vogt, Liffert, Gozewijn D. Laverman, & GJ Navis. (2010). Time for a comeback of NSAIDs in proteinuric chronic kidney disease?. PubMed. 68(12). 400–7. 11 indexed citations
8.
Navis, GJ, et al.. (2007). Body Mass Index and Glomerular Hyperfiltration in Renal Transplant Recipients: Cross-Sectional Analysis and Long-Term Impact. American Journal of Transplantation. 7(3). 645–652. 72 indexed citations
9.
Hamming, Inge, et al.. (2006). ACE inhibition has adverse renal effects during dietary sodium restriction in proteinuric and healthy rats. The Journal of Pathology. 209(1). 129–139. 40 indexed citations
10.
Westenbrink, B. Daan, A.A. Voors, Tom D.J. Smilde, et al.. (2006). Anaemia in chronic heart failure is not only related to impaired renal perfusion and blunted erythropoietin production, but to fluid retention as well. European Heart Journal. 28(2). 166–171. 127 indexed citations
11.
Lely, A. Titia, Inge Hamming, Harry van Goor, & GJ Navis. (2004). Renal ACE2 expression in human kidney disease. The Journal of Pathology. 204(5). 587–593. 187 indexed citations
12.
Vogt, Liffert, et al.. (2004). Renoprotection by blockade of the renin-angiotensin-aldosterone system in diabetic and non-diabetic chronic kidney disease. Specific involvement of intra-renal angiotensin-converting enzyme activity in therapy resistance?. PubMed. 95(5). 395–409. 16 indexed citations
13.
Henning, Robert H., et al.. (1998). BEATING HEART CORONARY ARTERY SURGERY AVOIDS RENAL DAMAGE AS COMPARED TO SURGERY WITH CARDIOPULMONARY BYPASS. Anesthesiology. 89(Supplement). 297A–297A. 6 indexed citations
14.
Buter, Hanneke, et al.. (1997). Is the antiproteinuric response to inhibition of the renin-angiotensin system less effective during the night?. PubMed. 12 Suppl 2. 53–6. 5 indexed citations
15.
Navis, GJ, et al.. (1997). Optimizing the renal response to ace inhibition: a strategy toward more effective long-term renoprotection.. PubMed. 27. 57–66. 2 indexed citations
16.
Schmidt, Alice, GJ Navis, Mark Haas, et al.. (1997). Angiotensin converting enzyme insertion/deletion polymorphism and short-term renal response to ACE inhibition: role of sodium status.. PubMed. 63. S23–6. 47 indexed citations
17.
Navis, GJ, et al.. (1997). ACE polymorphism does not determine short-term renal response to ACE-inhibition in proteinuric patients.. PubMed. 12 Suppl 2. 42–6. 29 indexed citations
18.
19.
Navis, GJ, Dick de Zeeuw, & Pe Dejong. (1986). Enalapril and the kidney: renal vasodilation and natriuresis due to the inhibition of angiotensin II formation.. PubMed. 8 Suppl 1. S30–4. 13 indexed citations
20.
Navis, GJ, Paul E. de Jong, G. K. van der Hem, & Dick de Zeeuw. (1986). Renal effects of ketanserin in essential hypertension.. PubMed. 4(1). S95–8. 10 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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