Karl G. Hofbauer

2.8k total citations · 1 hit paper
66 papers, 2.3k citations indexed

About

Karl G. Hofbauer is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Karl G. Hofbauer has authored 66 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrine and Autonomic Systems, 19 papers in Molecular Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Karl G. Hofbauer's work include Regulation of Appetite and Obesity (19 papers), Receptor Mechanisms and Signaling (12 papers) and Electrolyte and hormonal disorders (10 papers). Karl G. Hofbauer is often cited by papers focused on Regulation of Appetite and Obesity (19 papers), Receptor Mechanisms and Signaling (12 papers) and Electrolyte and hormonal disorders (10 papers). Karl G. Hofbauer collaborates with scholars based in Switzerland, Germany and United States. Karl G. Hofbauer's co-authors include Steven Whitebread, Leoluca Criscione, Christophe Gerald, Andrea O. Schaffhauser, Janet R. Nicholson, Mary W. Walker, Christine Batzl‐Hartmann, Robert I. Taber, Pierre J.‐J. Vaysse and Theresa A. Branchek and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Trends in Ecology & Evolution.

In The Last Decade

Karl G. Hofbauer

65 papers receiving 2.2k citations

Hit Papers

A receptor subtype involved in neuropeptide-Y-induced foo... 1996 2026 2006 2016 1996 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl G. Hofbauer Switzerland 21 1.1k 940 931 400 363 66 2.3k
J.K. Chang United States 21 607 0.6× 560 0.6× 573 0.6× 460 1.1× 179 0.5× 37 1.6k
Yoshitsugu Osumi Japan 24 805 0.8× 367 0.4× 674 0.7× 433 1.1× 140 0.4× 95 1.8k
Blanka Železná Czechia 27 493 0.5× 618 0.7× 800 0.9× 636 1.6× 304 0.8× 111 2.0k
Masanari Mizuta Japan 21 458 0.4× 1.0k 1.1× 804 0.9× 874 2.2× 671 1.8× 28 2.5k
Sarah L. Gray Canada 22 610 0.6× 349 0.4× 1.3k 1.4× 929 2.3× 131 0.4× 42 2.7k
Jonathan L. Marks Australia 21 521 0.5× 1.1k 1.1× 391 0.4× 582 1.5× 422 1.2× 33 2.2k
Isabelle Cusin Switzerland 31 481 0.5× 2.1k 2.2× 850 0.9× 1.5k 3.9× 974 2.7× 48 3.5k
Andrea Zsombok United States 26 270 0.3× 592 0.6× 376 0.4× 556 1.4× 250 0.7× 55 1.8k
Satoshi Mashiko Japan 18 425 0.4× 812 0.9× 375 0.4× 464 1.2× 404 1.1× 27 1.4k
G. Néliat France 17 2.3k 2.1× 360 0.4× 1.2k 1.3× 589 1.5× 55 0.2× 31 3.2k

Countries citing papers authored by Karl G. Hofbauer

Since Specialization
Citations

This map shows the geographic impact of Karl 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 Karl 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 Karl G. Hofbauer more than expected).

Fields of papers citing papers by Karl G. Hofbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl G. Hofbauer

This figure shows the co-authorship network connecting the top 25 collaborators of Karl G. Hofbauer. A scholar is included among the top collaborators of Karl G. Hofbauer 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 Karl G. Hofbauer. Karl G. Hofbauer 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.
Peter, Jean‐Christophe, et al.. (2012). Anti-trkb Antibodies as Pharmacological Tools to Study the Function of the Trkb Receptor and its Role in the Regulation of Food Intake. Pharmacologia. 4(1). 1–14. 5 indexed citations
2.
Peter, Jean‐Christophe, et al.. (2010). Antibodies raised against different extracellular loops of the melanocortin-3 receptor affect energy balance and autonomic function in rats. Journal of Receptors and Signal Transduction. 30(6). 444–453. 14 indexed citations
3.
Hofbauer, Karl G.. (2008). Academic institutions and industry: bridging the gap. Expert Opinion on Drug Discovery. 3(4). 369–373. 2 indexed citations
4.
Peter, Jean‐Christophe, et al.. (2007). Antibodies against the melanocortin-4 receptor act as inverse agonists in vitro and in vivo. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 292(6). R2151–R2158. 19 indexed citations
6.
Nicholson, Janet R., et al.. (2006). Peripheral Administration of a Melanocortin 4-Receptor Inverse Agonist Prevents Loss of Lean Body Mass in Tumor-Bearing Mice. Journal of Pharmacology and Experimental Therapeutics. 317(2). 771–777. 59 indexed citations
7.
Hofbauer, Karl G. & Janet R. Nicholson. (2006). Pharmacotherapy of Obesity. Experimental and Clinical Endocrinology & Diabetes. 114(9). 475–484. 12 indexed citations
8.
Nicholson, Janet R., et al.. (2005). Cardiovascular responses to melanocortin 4-receptor stimulation in conscious unrestrained normotensive rats. Peptides. 27(2). 438–443. 19 indexed citations
9.
Senn, Claudia, et al.. (2005). Central administration of small interfering RNAs in rats: A comparison with antisense oligonucleotides. European Journal of Pharmacology. 522(1-3). 30–37. 33 indexed citations
10.
Chiesi, Michele, Christine Huppertz, & Karl G. Hofbauer. (2001). Pharmacotherapy of obesity: targets and perspectives. Trends in Pharmacological Sciences. 22(5). 247–254. 52 indexed citations
11.
Criscione, Leoluca, Pascal Rigollier, Christine Batzl‐Hartmann, et al.. (1998). Food intake in free-feeding and energy-deprived lean rats is mediated by the neuropeptide Y5 receptor.. Journal of Clinical Investigation. 102(12). 2136–2145. 183 indexed citations
12.
Schaffhauser, Andrea O., Steven Whitebread, R. HAENER, Karl G. Hofbauer, & Alain Stricker‐Krongrad. (1998). Neuropeptide Y Y1 receptor antisense oligodeoxynucleotides enhance food intake in energy-deprived rats. Regulatory Peptides. 75-76. 417–423. 21 indexed citations
13.
Gerald, Christophe, Mary W. Walker, Leoluca Criscione, et al.. (1996). A receptor subtype involved in neuropeptide-Y-induced food intake. Nature. 382(6587). 168–171. 771 indexed citations breakdown →
14.
Eglème, Cécile, Floriane Cressier, C. T. Ashworth, Karl G. Hofbauer, & Jeanette M. Wood. (1989). Local generation of angiotensin II in the isolated rat aorta. Journal of Hypertension. 7(6). S214–215. 3 indexed citations
15.
Whitebread, Steven, et al.. (1988). [3H]AVP binding to rat renal tubular receptors during long-term treatment with an antagonist of arginine vasopressin. Peptides. 9(3). 595–600. 4 indexed citations
16.
Wood, Jeanette M., James L. Stanton, & Karl G. Hofbauer. (1987). Inhibitors of Renin as Potential Therapeutic Agents. Journal of enzyme inhibition. 1(3). 169–185. 59 indexed citations
17.
Bews, John P.A., Ş. Ş. Alkan, F.M. Dietrich, et al.. (1987). Monoclonal Antibodies to Human Renin: Properties and Applications. Clinical and Experimental Hypertension Part A Theory and Practice. 9(8-9). 1259–1275. 27 indexed citations
18.
Hofbauer, Karl G., et al.. (1986). Chronic Blockade of Vasopressin Receptors in Rats. Journal of Cardiovascular Pharmacology. 8. S56–S60. 21 indexed citations
19.
Dienemann, Hendrik, et al.. (1983). Haemodynamic effects of bradykinin in rats.. PubMed. 156. 651–60. 2 indexed citations
20.
Hofbauer, Karl G.. (1966). [On the therapy of stenocardiac complaints with Iproveratril].. PubMed. 116(52). 1155–6. 2 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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