K. G. Hofbauer

668 citations
30 papers · 546 indexed · h-index 13

K. G. Hofbauer

30 papers receiving 501 citations

Peers

K. G. Hofbauer
Comparison fields: 5 of 76
  • Endocrine and Autonomic Systems 76
  • Cardiology and Cardiovascular Medicine 175
  • Behavioral Neuroscience 27
  • Nephrology 46
  • Endocrinology, Diabetes and Metabolism 77
Replace R. E. Lang with:
R. E. Lang Germany
Gregor Fink Germany
Alberto C. Taquini Argentina
Maria Petri Germany
P A Nasmyth United Kingdom
Hisashi Yokoi Japan
Y F Chen United States
Serafim Guimarães Portugal
J. H. Cort Czechia
Masahiro Takanashi Japan
K. G. Hofbauer relative to R. E. Lang Germany R. E. Lang's profile →
Citations per field
00.5×
R. E. Lang · 1×
Citations per year

Countries citing papers authored by K. G. Hofbauer

Since Specialization
Citations

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

Fields of papers citing papers by K. G. Hofbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. G. Hofbauer. 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 K. G. Hofbauer. The network helps show where K. G. Hofbauer may publish in the future.

Co-authorship network

The 25 scholars most cited alongside K. G. Hofbauer, 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 K. G. Hofbauer Line = papers co-authored together K. G. Hofbauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200293
2 19922
3 198810
4 19887
5
The renin-angiotensin system : inhibitors and antagonists
19866
6 198512
7 198511
8 198426
9
Contribution of vascular and tubular effects of arginine-vasopressin to the development of deoxycorticosterone acetate (DOCA)-salt hypertension in rats.
19843
10
Cardiovascular effects of intracerebroventricular injection of vasopressin in unanaesthetized normotensive and DOCA-salt hypertensive rats.
198413
11 19783
12 197812
13 197717
14 197631
15
Effects of saralasin on renal function of the rat.
19762
16 19756
17 197342
18 197318
19 19719
20 197012

About K. G. Hofbauer

K. G. Hofbauer is a scholar working on Endocrine and Autonomic Systems, Nephrology and Social Psychology, having authored 30 papers that have together received 546 indexed citations. Recurring topics across this work include Electrolyte and hormonal disorders (8 papers), Neuroendocrine regulation and behavior (7 papers), Renin-Angiotensin System Studies (7 papers), Sodium Intake and Health (2 papers), Muscle and Compartmental Disorders (2 papers), Circadian rhythm and melatonin (2 papers), Ion Transport and Channel Regulation (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (76 citations), Cardiology and Cardiovascular Medicine (175 citations) and Behavioral Neuroscience (27 citations). K. G. Hofbauer has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include F. Gross, E. Hackenthal, J.M. Wood, Renate Hackenthal, Kathleen H. Berecek, R. S. Jones, H.-R. Olpe, W Rauh, Joël Ménard and Jan Möhring. Their work appears in journals such as Circulation Research, Hypertension and Journal of Pharmacology and Experimental Therapeutics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026