Michael Hausding

3.7k total citations · 1 hit paper
43 papers, 2.6k citations indexed

About

Michael Hausding is a scholar working on Physiology, Immunology and Molecular Biology. According to data from OpenAlex, Michael Hausding has authored 43 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Physiology, 14 papers in Immunology and 11 papers in Molecular Biology. Recurrent topics in Michael Hausding's work include Nitric Oxide and Endothelin Effects (14 papers), Asthma and respiratory diseases (8 papers) and IL-33, ST2, and ILC Pathways (7 papers). Michael Hausding is often cited by papers focused on Nitric Oxide and Endothelin Effects (14 papers), Asthma and respiratory diseases (8 papers) and IL-33, ST2, and ILC Pathways (7 papers). Michael Hausding collaborates with scholars based in Germany, United States and Switzerland. Michael Hausding's co-authors include Andreas Daiber, Thomas Münzel, Matthias Oelze, Eberhard Schulz, Philip Wenzel, Swenja Kröller‐Schön, Sebastian Steven, Sabine Kossmann, Maike Knorr and Hartmut Kleinert and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and PLoS ONE.

In The Last Decade

Michael Hausding

43 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lysozyme M–Positive Monocytes Mediate Angiotensin II–Induced Arterial Hypertension and Vascular Dysfunction

2011 407 citations Philip Wenzel, Maike Knorr et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Hausding Germany	25	728	724	709	605	460	43	2.6k
Anca D. Dobrian United States	27	806 1.1×	585 0.8×	690 1.0×	537 0.9×	445 1.0×	59	2.7k
Abishek Iyer Australia	28	998 1.4×	427 0.6×	513 0.7×	357 0.6×	242 0.5×	49	2.4k
Gorka San José Spain	30	758 1.0×	568 0.8×	906 1.3×	309 0.5×	1.3k 2.8×	51	3.1k
Fatiha Tabet Australia	25	1.2k 1.6×	556 0.8×	737 1.0×	789 1.3×	662 1.4×	40	3.1k
Ming‐Zhi Zhang United States	38	1.5k 2.1×	433 0.6×	487 0.7×	647 1.1×	596 1.3×	83	4.1k
Tatsuro Ishida Japan	34	996 1.4×	529 0.7×	532 0.8×	833 1.4×	1.0k 2.2×	117	3.6k
María U. Moreno Spain	27	693 1.0×	439 0.6×	671 0.9×	238 0.4×	1.1k 2.4×	49	2.6k
Hazel Lum United States	30	1.4k 1.9×	442 0.6×	690 1.0×	234 0.4×	350 0.8×	50	3.1k
Kikuo Kasai Japan	32	1.3k 1.7×	472 0.7×	964 1.4×	808 1.3×	615 1.3×	112	3.5k
S D Yan United States	11	843 1.2×	474 0.7×	891 1.3×	931 1.5×	190 0.4×	18	3.5k

Countries citing papers authored by Michael Hausding

Since Specialization

Citations

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

Fields of papers citing papers by Michael Hausding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hausding

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hausding. A scholar is included among the top collaborators of Michael Hausding 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 Michael Hausding. Michael Hausding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Steven, Sebastian, Matthias Oelze, Michael Hausding, et al.. (2018). The Endothelin Receptor Antagonist Macitentan Improves Isosorbide‐5‐Mononitrate (ISMN) and Isosorbide Dinitrate (ISDN) Induced Endothelial Dysfunction, Oxidative Stress, and Vascular Inflammation. Oxidative Medicine and Cellular Longevity. 2018(1). 7845629–7845629. 12 indexed citations

Wang, Xiaoyu, Michael Hausding, Shih‐Yen Weng, et al.. (2017). Gliptins Suppress Inflammatory Macrophage Activation to Mitigate Inflammation, Fibrosis, Oxidative Stress, and Vascular Dysfunction in Models of Nonalcoholic Steatohepatitis and Liver Fibrosis. Antioxidants and Redox Signaling. 28(2). 87–109. 66 indexed citations

Steven, Sebastian, Michael Hausding, Swenja Kröller‐Schön, et al.. (2015). Gliptin and GLP‐1 analog treatment improves survival and vascular inflammation/dysfunction in animals with lipopolysaccharide‐induced endotoxemia. Basic Research in Cardiology. 110(2). 6–6. 99 indexed citations

Jabs, Alexander, Matthias Oelze, Yuliya Mikhed, et al.. (2015). Effect of soluble guanylyl cyclase activator and stimulator therapy on nitroglycerin-induced nitrate tolerance in rats. Vascular Pharmacology. 71. 181–191. 28 indexed citations

Oelze, Matthias, Swenja Kröller‐Schön, Philipp Welschof, et al.. (2014). The Sodium-Glucose Co-Transporter 2 Inhibitor Empagliflozin Improves Diabetes-Induced Vascular Dysfunction in the Streptozotocin Diabetes Rat Model by Interfering with Oxidative Stress and Glucotoxicity. PLoS ONE. 9(11). e112394–e112394. 260 indexed citations

Knorr, Maike, Michael Hausding, Kerstin Jurk, et al.. (2014). In vitro and in vivo Characterization of a New Organic Nitrate Hybrid Drug Covalently Bound to Pioglitazone. Pharmacology. 93(5-6). 203–215. 3 indexed citations

Kröller‐Schön, Swenja, Sebastian Steven, Sabine Kossmann, et al.. (2013). Molecular Mechanisms of the Crosstalk Between Mitochondria and NADPH Oxidase Through Reactive Oxygen Species—Studies in White Blood Cells and in Animal Models. Antioxidants and Redox Signaling. 20(2). 247–266. 210 indexed citations

Hausding, Michael, Kerstin Jurk, Steffen Daub, et al.. (2013). CD40L contributes to angiotensin II-induced pro-thrombotic state, vascular inflammation, oxidative stress and endothelial dysfunction. Basic Research in Cardiology. 108(6). 386–386. 60 indexed citations

Kröller‐Schön, Swenja, Maike Knorr, Michael Hausding, et al.. (2012). Glucose-independent improvement of vascular dysfunction in experimental sepsis by dipeptidyl-peptidase 4 inhibition. Cardiovascular Research. 96(1). 140–149. 157 indexed citations

10.

Karbach, Susanne, Thomas Jansen, Sven Horke, et al.. (2012). Hyperglycemia and oxidative stress in cultured endothelial cells – a comparison of primary endothelial cells with an immortalized endothelial cell line. Journal of Diabetes and its Complications. 26(3). 155–162. 39 indexed citations

11.

Knorr, Maike, Michael Hausding, Eberhard Schulz, et al.. (2012). Characterization of New Organic Nitrate Hybrid Drugs Covalently Bound to Valsartan and Cilostazol. Pharmacology. 90(3-4). 193–204. 6 indexed citations

12.

Koltsida, Ourania, Michael Hausding, Athanasios Stavropoulos, et al.. (2011). IL‐28A (IFN‐λ2) modulates lung DC function to promote Th1 immune skewing and suppress allergic airway disease. EMBO Molecular Medicine. 3(6). 348–361. 172 indexed citations

13.

Hausding, Michael, Caroline Übel, Hans A. Lehr, et al.. (2010). Induction of tolerogenic lung CD4+ T cells by local treatment with a pSTAT-3 and pSTAT-5 inhibitor ameliorated experimental allergic asthma. International Immunology. 23(1). 1–15. 28 indexed citations

14.

Hausding, Michael, et al.. (2008). Transgenic Models in Allergic Responses. Current Drug Targets. 9(6). 503–510. 14 indexed citations

15.

Maxeiner, Joachim, et al.. (2007). A method to enable the investigation of murine bronchial immune cells, their cytokines and mediators. Nature Protocols. 2(1). 105–112. 28 indexed citations

16.

Hausding, Michael, Petra Scholtes, Hans A. Lehr, et al.. (2007). Lung CD11c⁺ cells from mice deficient in Epstein‐Barr virus‐induced gene 3 (EBI‐3) prevent airway hyper‐responsiveness in experimental asthma. European Journal of Immunology. 37(6). 1663–1677. 11 indexed citations

17.

Finotto, Susetta, Michael Hausding, Aysefa Doganci, et al.. (2005). Asthmatic changes in mice lacking T-bet are mediated by IL-13. International Immunology. 17(8). 993–1007. 69 indexed citations

18.

Hausding, Michael, et al.. (2004). Regulation of T cells in asthma: implications for genetic manipulation. Current Opinion in Allergy and Clinical Immunology. 4(1). 69–74. 5 indexed citations

19.

Hausding, Michael, Andrea Witteck, Fernando Rodríguez‐Pascual, et al.. (2000). Inhibition of small G proteins of the Rho family by statins or Clostridium difficile toxin B enhances cytokine‐mediated induction of NO synthase II. British Journal of Pharmacology. 131(3). 553–561. 51 indexed citations

20.

Rodríguez‐Pascual, Fernando, Michael Hausding, Irmgard Ihrig‐Biedert, et al.. (2000). Complex Contribution of the 3′-Untranslated Region to the Expressional Regulation of the Human Inducible Nitric-oxide Synthase Gene. Journal of Biological Chemistry. 275(34). 26040–26049. 159 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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