Valentina Biasin

1.3k total citations
16 papers, 915 citations indexed

About

Valentina Biasin is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Valentina Biasin has authored 16 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 3 papers in Pathology and Forensic Medicine and 3 papers in Immunology. Recurrent topics in Valentina Biasin's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Pulmonary Hypertension Research and Treatments (5 papers) and Protease and Inhibitor Mechanisms (3 papers). Valentina Biasin is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Pulmonary Hypertension Research and Treatments (5 papers) and Protease and Inhibitor Mechanisms (3 papers). Valentina Biasin collaborates with scholars based in Austria, Germany and United States. Valentina Biasin's co-authors include Grażyna Kwapiszewska, Leigh M. Marsh, Jochen Wilhelm, Andrea Olschewski, Matteo Berti, Saravanabhavan Thangavel, Timo Glatter, Saša Kenig, Arnab Ray Chaudhuri and Francesca Marino and has published in prestigious journals such as Nature Communications, American Journal of Respiratory and Critical Care Medicine and Scientific Reports.

In The Last Decade

Valentina Biasin

15 papers receiving 906 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valentina Biasin Austria 12 518 314 242 124 86 16 915
Sey‐En Lin Taiwan 18 400 0.8× 274 0.9× 327 1.4× 175 1.4× 58 0.7× 52 978
Stephanie J. McAlhany United States 7 403 0.8× 247 0.8× 255 1.1× 151 1.2× 95 1.1× 8 746
Karin Jennbacken Sweden 20 469 0.9× 256 0.8× 248 1.0× 173 1.4× 98 1.1× 33 816
Rifat Hasina United States 19 612 1.2× 218 0.7× 326 1.3× 275 2.2× 139 1.6× 38 1.1k
Shun‐Dong Dai China 21 640 1.2× 184 0.6× 235 1.0× 143 1.2× 44 0.5× 47 917
Juan‐Han Yu China 17 409 0.8× 200 0.6× 226 0.9× 124 1.0× 81 0.9× 62 775
Dawid G. Nowak United States 12 952 1.8× 133 0.4× 167 0.7× 242 2.0× 57 0.7× 20 1.2k
Nicholas J. Brady United States 21 661 1.3× 194 0.6× 361 1.5× 247 2.0× 150 1.7× 28 1.0k
Qingcheng Yang China 22 658 1.3× 214 0.7× 196 0.8× 411 3.3× 93 1.1× 55 1.0k
Chen Zhu China 16 343 0.7× 239 0.8× 180 0.7× 208 1.7× 164 1.9× 35 680

Countries citing papers authored by Valentina Biasin

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Biasin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Biasin

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

All Works

16 of 16 papers shown
1.
Bordag, Natalie, Bence Nagy, Vasile Foris, et al.. (2025). Lipid Ratios for Diagnosis and Prognosis of Pulmonary Hypertension. American Journal of Respiratory and Critical Care Medicine. 211(7). 1264–1276. 2 indexed citations
2.
Biasin, Valentina, et al.. (2025). Immune and Vascular Function in Cardiometabolic Disorders: Interplay With Sex Differences and Impact on Incretin Therapy. Acta Physiologica. 241(9). e70091–e70091.
3.
Birnhuber, Anna, Katharina Jandl, Valentina Biasin, et al.. (2022). Pirfenidone exacerbates Th2-driven vasculopathy in a mouse model of systemic sclerosis-associated interstitial lung disease. European Respiratory Journal. 60(4). 2102347–2102347. 15 indexed citations
4.
Bordag, Natalie, Valentina Biasin, Katharina Jandl, et al.. (2020). Machine Learning Analysis of the Bleomycin Mouse Model Reveals the Compartmental and Temporal Inflammatory Pulmonary Fingerprint. iScience. 23(12). 101819–101819. 26 indexed citations
5.
Biasin, Valentina, Slaven Crnković, Anna Birnhuber, et al.. (2020). PDGFRα and αSMA mark two distinct mesenchymal cell populations involved in parenchymal and vascular remodeling in pulmonary fibrosis. American Journal of Physiology-Lung Cellular and Molecular Physiology. 318(4). L684–L697. 31 indexed citations
6.
Birnhuber, Anna, et al.. (2019). Transcription factor Fra-2 and its emerging role in matrix deposition, proliferation and inflammation in chronic lung diseases. Cellular Signalling. 64. 109408–109408. 44 indexed citations
7.
Kheirollahi, Vahid, Roxana Wasnick, Valentina Biasin, et al.. (2019). Metformin induces lipogenic differentiation in myofibroblasts to reverse lung fibrosis. Nature Communications. 10(1). 2987–2987. 202 indexed citations
8.
Birnhuber, Anna, Slaven Crnković, Valentina Biasin, et al.. (2019). IL-1 receptor blockade skews inflammation towards Th2 in a mouse model of systemic sclerosis. European Respiratory Journal. 54(3). 1900154–1900154. 32 indexed citations
9.
Biasin, Valentina, Małgorzata Wygrecka, Thomas Bärnthaler, et al.. (2018). Docking of Meprin α to Heparan Sulphate Protects the Endothelium from Inflammatory Cell Extravasation. Thrombosis and Haemostasis. 118(10). 1790–1802. 11 indexed citations
10.
Biasin, Valentina, et al.. (2018). Fra2 Overexpression in Mice Leads to Non-allergic Asthma Development in an IL-13 Dependent Manner. Frontiers in Immunology. 9. 2018–2018. 31 indexed citations
11.
Biasin, Valentina & Barbara Obermayer‐Pietsch. (2018). Sclerostin, bone morphogenetic protein, Wnt and the lung: a potential role beyond bone metabolism?. Journal of Laboratory and Precision Medicine. 3. 102–102. 1 indexed citations
12.
Biasin, Valentina, Małgorzata Wygrecka, Leigh M. Marsh, et al.. (2017). Meprin β contributes to collagen deposition in lung fibrosis. Scientific Reports. 7(1). 39969–39969. 32 indexed citations
13.
Peters, Florian, Johannes Prox, Philipp Arnold, et al.. (2016). Ectodomain shedding of CD99 within highly conserved regions is mediated by the metalloprotease meprin β and promotes transendothelial cell migration. The FASEB Journal. 31(3). 1226–1237. 29 indexed citations
14.
Biasin, Valentina, Karolina Chwalek, Jochen Wilhelm, et al.. (2014). Endothelin-1 driven proliferation of pulmonary arterial smooth muscle cells is c-fos dependent. The International Journal of Biochemistry & Cell Biology. 54. 137–148. 42 indexed citations
15.
Berti, Matteo, Arnab Ray Chaudhuri, Saravanabhavan Thangavel, et al.. (2013). Human RECQ1 promotes restart of replication forks reversed by DNA topoisomerase I inhibition. Nature Structural & Molecular Biology. 20(3). 347–354. 366 indexed citations
16.
Biasin, Valentina, Leigh M. Marsh, Bakytbek Egemnazarov, et al.. (2013). Meprin β, a novel mediator of vascular remodelling underlying pulmonary hypertension. The Journal of Pathology. 233(1). 7–17. 51 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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