O Schück

757 total citations
68 papers, 545 citations indexed

About

O Schück is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Transplantation. According to data from OpenAlex, O Schück has authored 68 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nephrology, 16 papers in Pulmonary and Respiratory Medicine and 12 papers in Transplantation. Recurrent topics in O Schück's work include Renal function and acid-base balance (14 papers), Renal Transplantation Outcomes and Treatments (12 papers) and Metabolism and Genetic Disorders (10 papers). O Schück is often cited by papers focused on Renal function and acid-base balance (14 papers), Renal Transplantation Outcomes and Treatments (12 papers) and Metabolism and Genetic Disorders (10 papers). O Schück collaborates with scholars based in Czechia, France and United Kingdom. O Schück's co-authors include Vladimı́r Teplan, Š Vı́tko, Eva Pokorná, J Skibová, Jack F.M. Wetzels, Jean-Pierre Mallié, Cécile Couchoud, K Matoušovic, J Lácha and Jaroslav Ráček and has published in prestigious journals such as Kidney International, Cellular and Molecular Life Sciences and Biochemical Pharmacology.

In The Last Decade

O Schück

62 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
O Schück Czechia 13 223 136 113 92 81 68 545
A. Hadj-Aïssa France 10 255 1.1× 103 0.8× 83 0.7× 111 1.2× 30 0.4× 17 510
Rutger M. van Ree Netherlands 13 240 1.1× 70 0.5× 200 1.8× 165 1.8× 79 1.0× 15 600
F.T.M. Huysmans Netherlands 15 171 0.8× 142 1.0× 53 0.5× 137 1.5× 47 0.6× 30 653
Ihab Wahba United States 8 234 1.0× 93 0.7× 39 0.3× 104 1.1× 90 1.1× 14 681
Marinus H. de Keijzer Netherlands 13 118 0.5× 139 1.0× 49 0.4× 229 2.5× 62 0.8× 35 598
Fred E. Hatch United States 14 259 1.2× 101 0.7× 57 0.5× 106 1.2× 70 0.9× 21 725
J. L. Anderton United Kingdom 12 76 0.3× 167 1.2× 60 0.5× 95 1.0× 41 0.5× 49 483
Ewa Król Poland 15 190 0.9× 84 0.6× 33 0.3× 92 1.0× 55 0.7× 61 587
Karen M. Gaudio United States 16 314 1.4× 100 0.7× 37 0.3× 116 1.3× 58 0.7× 36 665
Annalisa Teutonico Italy 15 261 1.2× 122 0.9× 199 1.8× 275 3.0× 46 0.6× 35 748

Countries citing papers authored by O Schück

Since Specialization
Citations

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

Fields of papers citing papers by O Schück

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of O Schück

This figure shows the co-authorship network connecting the top 25 collaborators of O Schück. A scholar is included among the top collaborators of O Schück 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 O Schück. O Schück 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.
Schück, O, et al.. (2021). Novel Algorithm for the Differential Diagnosis of Hyponatraemia in Anuric Patients Undergoing Maintenance Haemodialysis. Kidney & Blood Pressure Research. 46(3). 387–392. 2 indexed citations
2.
Charvát, J, et al.. (2019). Association between 24-hour diastolic blood pressure and renal function in patients receiving treatment for essential hypertension. Journal of International Medical Research. 47(10). 4958–4967. 6 indexed citations
3.
Matoušovic, K, Jan Havlín, & O Schück. (2017). [Clinical evaluation of acid-base status: Henderson-Hasselbalch, or Stewart-Fencl approach?]. PubMed. 155(7). 365–369. 2 indexed citations
4.
Kříž, Jiří, et al.. (2015). Hyponatremia in spinal cord injury patients: new insight into differentiating between the dilution and depletion forms. Spinal Cord. 53(4). 291–296. 12 indexed citations
5.
Mallié, Jean-Pierre, et al.. (2011). The Clinician and Estimation of Glomerular Filtration Rate by Creatinine-based Formulas. Clinical Journal of the American Society of Nephrology. 6(4). 937–950. 76 indexed citations
6.
Opatrná, Sylvie, et al.. (2009). Acid-Base Balance in Peritoneal Dialysis Patients: A Stewart-Fencl Analysis. Renal Failure. 31(8). 625–632. 2 indexed citations
7.
Kieslichová, Eva, et al.. (2009). [Liver transplantation and peri-operative changes to renal function].. PubMed. 55(12). 1126–34. 2 indexed citations
8.
Schück, O, et al.. (2008). THE AUXILIARY TABLE FOR GFR ESTIMATION ACCORDING TO THE MDRD FORMULA. Journal of Renal Care. 34(1). 43–44. 4 indexed citations
9.
Teplan, Vladimı́r, O Schück, Jaroslav Ráček, et al.. (2008). Asymmetric Dimethylarginine in Obesity After Renal Transplantation. Journal of Renal Nutrition. 18(6). 513–520. 7 indexed citations
10.
Teplan, Vladimı́r, et al.. (2007). Obesity and adiponectin after kidney transplantation. Acta Physiologica Hungarica. 94(1-2). 149–157. 3 indexed citations
11.
Teplan, Vladimı́r, O Schück, Jaroslav Ráček, et al.. (2007). Asymmetric Dimethylarginine and Adiponectin After Renal Transplantation: Role of Obesity. Journal of Renal Nutrition. 18(1). 154–157. 11 indexed citations
12.
Schück, O, et al.. (2005). Estimation of Glomerular Filtration Rate Based on the Modification of Diet in Renal Disease Equation in Patients with Chronic Renal Failure. Kidney & Blood Pressure Research. 28(2). 63–67. 8 indexed citations
13.
Pokorná, Eva, O Schück, Š Vı́tko, & Henrik Ekberg. (2002). Estimated and Measured Donor Creatinine Clearance are Poor Predictors of Long-Term Renal Graft Function and Survival. American Journal of Transplantation. 2(4). 373–380. 12 indexed citations
14.
Pokorná, Eva, et al.. (2001). Morphologic changes in renal procurement biopsy and onset of graft function. Transplantation Proceedings. 33(1-2). 1999–2000. 2 indexed citations
15.
Pokorná, Eva, et al.. (2000). Adverse effect of donor arteriolosclerosis on graft outcome after renal transplantation. Nephrology Dialysis Transplantation. 15(5). 705–710. 55 indexed citations
16.
Schück, O, et al.. (1990). The Effect of Haemodialysis on Tubular Secretion of Creatinine in Residual Nephrons. Nephrology Dialysis Transplantation. 5(7). 549–550. 2 indexed citations
17.
Schück, O, et al.. (1990). Residual kidney function and plasma urea concentration in patients with chronic renal failure. International Urology and Nephrology. 22(6). 573–579. 1 indexed citations
18.
Schück, O, et al.. (1978). The influence of ethacrynic acid, hydrochlorothiazide and clopamide on the renal excretion of chloramphenicol and its metabolites.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 16(5). 217–9. 3 indexed citations
19.
Schück, O, et al.. (1976). Effect of single dose of diuretics on renal magnesium excretion in man, with special reference to their site of action.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 25(3). 207–12. 2 indexed citations
20.
Cort, J. H., et al.. (1975). Role of the disulfide bridge and the C-terminal tripeptide in the antidiuretic action of vasopressin in man and the rat. Kidney International. 8(5). 292–302. 22 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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