M Huettinger

1.1k total citations
21 papers, 895 citations indexed

About

M Huettinger is a scholar working on Nutrition and Dietetics, Surgery and Molecular Biology. According to data from OpenAlex, M Huettinger has authored 21 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nutrition and Dietetics, 5 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in M Huettinger's work include Infant Nutrition and Health (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). M Huettinger is often cited by papers focused on Infant Nutrition and Health (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). M Huettinger collaborates with scholars based in Austria, United States and Hungary. M Huettinger's co-authors include Heinrich Kowalski, Ernst Kuechler, Franz Hofer, Herwig Machat, Hans Goldenberg, Marcela Hermann, David W. Bilheimer, John M. Dietschy, D K Spady and M S Brown and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

M Huettinger

21 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Huettinger Austria 13 269 240 217 181 174 21 895
Ryan Crane United States 11 218 0.8× 125 0.5× 84 0.4× 81 0.4× 75 0.4× 20 710
Paul Cheung Canada 17 369 1.4× 132 0.6× 51 0.2× 317 1.8× 81 0.5× 21 871
Randall J. Owens United States 13 410 1.5× 334 1.4× 47 0.2× 97 0.5× 69 0.4× 13 1.0k
E. Uchida Japan 14 318 1.2× 203 0.8× 248 1.1× 43 0.2× 61 0.4× 58 1.1k
Toshifumi Ohkusa Japan 23 703 2.6× 166 0.7× 222 1.0× 152 0.8× 38 0.2× 54 1.5k
Barbara Palazzetti Italy 13 201 0.7× 225 0.9× 175 0.8× 37 0.2× 41 0.2× 15 937
Irina N. Baranova United States 18 566 2.1× 238 1.0× 354 1.6× 40 0.2× 49 0.3× 29 1.3k
Ursula Andréo United States 14 568 2.1× 482 2.0× 161 0.7× 88 0.5× 45 0.3× 18 1.4k
Mark A. Pilkinton United States 15 295 1.1× 127 0.5× 65 0.3× 43 0.2× 113 0.6× 23 835
Fredrik J. Olson Sweden 15 338 1.3× 91 0.4× 116 0.5× 61 0.3× 42 0.2× 20 673

Countries citing papers authored by M Huettinger

Since Specialization
Citations

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

Fields of papers citing papers by M Huettinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Huettinger

This figure shows the co-authorship network connecting the top 25 collaborators of M Huettinger. A scholar is included among the top collaborators of M Huettinger 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 M Huettinger. M Huettinger 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.
Jenull, Sabrina, et al.. (2017). Cooperativity between antibiotics and antiseptics: testing the bactericidal effect. Journal of Wound Care. 26(12). 720–726. 4 indexed citations
2.
Jenull, Sabrina, et al.. (2015). Cell growth and migration under octenidine-antiseptic treatment. Journal of Wound Care. 24(6). 280–288. 11 indexed citations
3.
Klein, Petra, et al.. (2010). Differentiation- and polarization-dependent zinc tolerance in Caco-2 cells. European Journal of Nutrition. 50(5). 379–386. 14 indexed citations
4.
Klein, Petra, et al.. (2010). Lactoferrin induces growth arrest and nuclear accumulation of Smad-2 in HeLa cells. Biochimie. 92(7). 880–884. 28 indexed citations
5.
Kaupe, Ines, et al.. (2009). Signal transduction and metabolism in chondrocytes is modulated by lactoferrin. Osteoarthritis and Cartilage. 18(1). 117–125. 33 indexed citations
6.
Holzmann, Johann, et al.. (2006). Assorted effects of TGFβ and chondroitinsulfate on p38 and ERK1/2 activation levels in human articular chondrocytes stimulated with LPS. Osteoarthritis and Cartilage. 14(6). 519–525. 21 indexed citations
7.
Holzmann, Johann, et al.. (2006). Effects of Chondroitin Sulfate on the Cellular Metabolism. Advances in pharmacology. 53. 433–447. 3 indexed citations
8.
Rapp, Alfred, et al.. (2005). Evaluation of Chondroitin Sulfate Bioactivity in Hippocampal Neurones and the Astrocyte Cell Line U373: Influence of Position of Sulfate Groups and Charge Density. Basic & Clinical Pharmacology & Toxicology. 96(1). 37–43. 12 indexed citations
9.
Ljungberg, M. Cecilia, Ayodeji A. Asuni, Rejith Dayanandan, et al.. (2003). Apolipoprotein E (apoE) uptake and distribution in mammalian cell lines is dependent upon source of apoE and can be monitored in living cells. Neuroscience Letters. 341(1). 69–73. 2 indexed citations
10.
Haumer, Markus, et al.. (1999). Metabolism of Activated Complement Component C3 Is Mediated by the Low Density Lipoprotein Receptor-related Protein/α2-Macroglobulin Receptor. Journal of Biological Chemistry. 274(53). 38091–38096. 29 indexed citations
11.
Huettinger, M, et al.. (1998). The LDL-Receptor Family. Advances in experimental medicine and biology. 143(52). 107–111. 5 indexed citations
12.
Huettinger, M, et al.. (1998). The LDL-receptor family. Lactoferrin and lipid metabolism.. PubMed. 443. 107–11. 5 indexed citations
13.
Németh, Attila, et al.. (1995). Apolipoprotein E and Complement C3 Polymorphism and Their Role in the Response to Gemfibrozil and Low Fat Low Cholesterol Therapy. Clinical Chemistry and Laboratory Medicine (CCLM). 33(11). 799–804. 17 indexed citations
14.
15.
Hofer, Franz, et al.. (1994). Members of the low density lipoprotein receptor familymediate cell entry of a minor-group common cold virus.. Proceedings of the National Academy of Sciences. 91(5). 1839–1842. 358 indexed citations
16.
Huettinger, M, et al.. (1992). Lactoferrin specifically inhibits endocytosis of chylomicron remnants but not alpha-macroglobulin.. Journal of Biological Chemistry. 267(26). 18551–18557. 75 indexed citations
17.
Huettinger, M, et al.. (1988). Characteristics of chylomicron remnant uptake into rat liver. Clinical Biochemistry. 21(2). 87–92. 66 indexed citations
18.
Spady, D K, M Huettinger, David W. Bilheimer, & John M. Dietschy. (1986). Role of receptor-independent low density lipoprotein transport in the maintenance of tissue cholesterol balance in the normal and WHHL rabbit.. Journal of Lipid Research. 28(1). 32–41. 76 indexed citations
19.
Huettinger, M, Jo Corbett, Wolfgang J. Schneider, et al.. (1984). Imaging of hepatic low density lipoprotein receptors by radionuclide scintiscanning in vivo.. Proceedings of the National Academy of Sciences. 81(23). 7599–7603. 28 indexed citations
20.
Huettinger, M, Wolfgang J. Schneider, Y K Ho, J L Goldstein, & M S Brown. (1984). Use of monoclonal anti-receptor antibodies to probe the expression of the low density lipoprotein receptor in tissues of normal and Watanabe heritable hyperlipidemic rabbits.. Journal of Clinical Investigation. 74(3). 1017–1026. 43 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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