Matthew Ullenbruch

1.4k total citations
23 papers, 1.2k citations indexed

About

Matthew Ullenbruch is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Matthew Ullenbruch has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 7 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Matthew Ullenbruch's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (15 papers), Neonatal Respiratory Health Research (6 papers) and IL-33, ST2, and ILC Pathways (4 papers). Matthew Ullenbruch is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (15 papers), Neonatal Respiratory Health Research (6 papers) and IL-33, ST2, and ILC Pathways (4 papers). Matthew Ullenbruch collaborates with scholars based in United States, South Korea and Japan. Matthew Ullenbruch's co-authors include Sem H. Phan, Tianju Liu, Biao Hu, Hongjian Jin, Hongfeng Yu, Yoon Young Choi, Nicholas W. Lukacs, Zhe Wu, George J. Brewer and Robert Dick and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and The Journal of Immunology.

In The Last Decade

Matthew Ullenbruch

23 papers receiving 1.2k citations

Peers

Matthew Ullenbruch
Keren Borensztajn Netherlands
Louis J. Vuga United States
Eric B. Meltzer United States
Susan Mathai United States
Bridget McGarry United States
Mesias Pedroza United States
Ningshan Liu United States
Matthew Ullenbruch
Citations per year, relative to Matthew Ullenbruch Matthew Ullenbruch (= 1×) peers Chiko Shimbori

Countries citing papers authored by Matthew Ullenbruch

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Ullenbruch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Ullenbruch

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Ullenbruch. A scholar is included among the top collaborators of Matthew Ullenbruch 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 Matthew Ullenbruch. Matthew Ullenbruch 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.
Lerário, Antônio Marcondes, Matthew Ullenbruch, Matthew Taylor, et al.. (2024). Chronic activation of adrenal Gq signaling induces Cyp11b2 expression in the zona fasciculata and hyperaldosteronism. Molecular and Cellular Endocrinology. 585. 112176–112176. 1 indexed citations
2.
Nakashima, Taku, Tianju Liu, Biao Hu, et al.. (2019). Role of B7H3/IL-33 Signaling in Pulmonary Fibrosis–induced Profibrogenic Alterations in Bone Marrow. American Journal of Respiratory and Critical Care Medicine. 200(8). 1032–1044. 11 indexed citations
3.
Taylor, Matthew, Matthew Ullenbruch, Juilee Rege, et al.. (2019). Chemogenetic activation of adrenocortical Gq signaling causes hyperaldosteronism and disrupts functional zonation. Journal of Clinical Investigation. 130(1). 83–93. 14 indexed citations
4.
Ding, Lin, Tianju Liu, Zhe Wu, et al.. (2016). Bone Marrow CD11c+ Cell–Derived Amphiregulin Promotes Pulmonary Fibrosis. The Journal of Immunology. 197(1). 303–312. 54 indexed citations
5.
Liu, Tianju, Hongfeng Yu, Lin Ding, et al.. (2015). Conditional Knockout of Telomerase Reverse Transcriptase in Mesenchymal Cells Impairs Mouse Pulmonary Fibrosis. PLoS ONE. 10(11). e0142547–e0142547. 21 indexed citations
6.
Hu, Biao, et al.. (2015). Mesenchymal Deficiency of Notch1 Attenuates Bleomycin-Induced Pulmonary Fibrosis. American Journal Of Pathology. 185(11). 3066–3075. 33 indexed citations
7.
Hu, Biao, Jianhua Liu, Zhe Wu, et al.. (2014). Reemergence of Hedgehog Mediates Epithelial–Mesenchymal Crosstalk in Pulmonary Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 52(4). 418–428. 51 indexed citations
8.
Liu, Tianju, Hongfeng Yu, Matthew Ullenbruch, et al.. (2014). The In Vivo Fibrotic Role of FIZZ1 in Pulmonary Fibrosis. PLoS ONE. 9(2). e88362–e88362. 55 indexed citations
9.
Liu, Tianju, Matthew Ullenbruch, Yoon Young Choi, et al.. (2013). Telomerase and Telomere Length in Pulmonary Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 49(2). 260–268. 71 indexed citations
10.
Nakashima, Taku, Tianju Liu, Hongfeng Yu, et al.. (2013). Lung Bone Marrow–derived Hematopoietic Progenitor Cells Enhance Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 188(8). 976–984. 23 indexed citations
11.
Dolgachev, Vladislav, Matthew Ullenbruch, Nicholas W. Lukacs, & Sem H. Phan. (2009). Role of stem cell factor and bone marrow derived fibroblasts in airway remodeling. (140.1). The Journal of Immunology. 182(Supplement_1). 140.1–140.1. 2 indexed citations
12.
Dolgachev, Vladislav, Matthew Ullenbruch, Nicholas W. Lukacs, & Sem H. Phan. (2009). Role of Stem Cell Factor and Bone Marrow-Derived Fibroblasts in Airway Remodeling. American Journal Of Pathology. 174(2). 390–400. 36 indexed citations
13.
Liu, Tianju, Biao Hu, Yoon Young Choi, et al.. (2009). Notch1 Signaling in FIZZ1 Induction of Myofibroblast Differentiation. American Journal Of Pathology. 174(5). 1745–1755. 110 indexed citations
14.
Liu, Tianju, Myoung Ja Chung, Matthew Ullenbruch, et al.. (2007). Telomerase activity is required for bleomycin-induced pulmonary fibrosis in mice. Journal of Clinical Investigation. 117(12). 3800–9. 79 indexed citations
15.
Hu, Biao, Zhe Wu, Tianju Liu, et al.. (2006). Gut-Enriched Krüppel-Like Factor Interaction with Smad3 Inhibits Myofibroblast Differentiation. American Journal of Respiratory Cell and Molecular Biology. 36(1). 78–84. 54 indexed citations
16.
Lin, Jingmei, Sanjeevkumar R. Patel, Xu Cheng, et al.. (2005). Kielin/chordin-like protein, a novel enhancer of BMP signaling, attenuates renal fibrotic disease. Nature Medicine. 11(4). 387–393. 150 indexed citations
17.
Gharaee‐Kermani, Mehrnaz, Matthew Ullenbruch, & Sem H. Phan. (2005). Animal Models of Pulmonary Fibrosis. Humana Press eBooks. 117. 251–259. 57 indexed citations
18.
Brewer, George J., Robert Dick, Matthew Ullenbruch, Hongjian Jin, & Sem H. Phan. (2004). Inhibition of key cytokines by tetrathiomolybdate in the bleomycin model of pulmonary fibrosis. Journal of Inorganic Biochemistry. 98(12). 2160–2167. 46 indexed citations
19.
Liu, Tianju, Hongjian Jin, Matthew Ullenbruch, et al.. (2004). Regulation of Found in Inflammatory Zone 1 Expression in Bleomycin-Induced Lung Fibrosis: Role of IL-4/IL-13 and Mediation via STAT-6. The Journal of Immunology. 173(5). 3425–3431. 140 indexed citations
20.
Brewer, George J., et al.. (2003). Tetrathiomolybdate therapy protects against bleomycin-induced pulmonary fibrosis in mice. Journal of Laboratory and Clinical Medicine. 141(3). 210–216. 69 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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