Z. Glück

837 citations
24 papers · 671 · h-index 14

Impact in

Papers in

Z. Glück

22 papers receiving 558 citations

Peers

Z. Glück
Comparison fields: 5 of 76
  • Cardiology and Cardiovascular Medicine 347
  • Nephrology 108
  • Endocrinology, Diabetes and Metabolism 245
  • Pharmacology 111
  • Biochemistry 39
Replace H. Holzgreve with:
H. Holzgreve Germany
G. J. Wenting Netherlands
G Muiesan Italy
J. I. M. Drayer United States
B. E. Karlberg Sweden
Laragh Jh United States
François C. Reubi Switzerland
A. M. M. Cumming United Kingdom
Keiichiro Atarashi Japan
Hans J. Keim Germany
Z. Glück relative to H. Holzgreve Germany H. Holzgreve's profile →
Citations per field
00.5×1.7×
H. Holzgreve · 1×
Citations per year

Countries citing papers authored by Z. Glück

Since Specialization
Citations

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

Fields of papers citing papers by Z. Glück

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Z. Glück, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Z. Glück Line = papers co-authored together Z. Glück links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978153
2 1979129
3 198056
4 198144
5 197838
6 198037
7 198136
8 198030
9 198730
10 198324
11 198720
12 197917
13
[The effect of diuretic therapy on serum lipoproteins: an undesirable effect?].
197915
14 200715
15 19799
16 19884
17 20094
18 19833
19 19892
20
Catecholamines, sodium and renin in unilateral renal hypertension in man.
19822

About Z. Glück

Z. Glück is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Nephrology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 671 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (8 papers), Blood Pressure and Hypertension Studies (6 papers), Hemodynamic Monitoring and Therapy (4 papers), Electrolyte and hormonal disorders (3 papers), Renal function and acid-base balance (3 papers), Dialysis and Renal Disease Management (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Central Venous Catheters and Hemodialysis (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (347 citations), Nephrology (108 citations), Endocrinology, Diabetes and Metabolism (245 citations), Pharmacology (111 citations) and Biochemistry (39 citations). Z. Glück has collaborated with scholars based in Switzerland and United States. Frequent co-authors include P Weidmann, G Keusch, C Beretta-Piccoli, Walter Ziegler, Andreas Meier, Martin Grimm, François C. Reubi, E. Peheim, Karl D. Nolph and R Mordasini. Their work appears in journals such as Hypertension, The American Journal of Medicine, Kidney International, Clinical Nephrology and Journal of Molecular Medicine.

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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