Markus Leskinen

798 total citations
26 papers, 578 citations indexed

About

Markus Leskinen is a scholar working on Pulmonary and Respiratory Medicine, Immunology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Markus Leskinen has authored 26 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 9 papers in Immunology and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Markus Leskinen's work include Neonatal Respiratory Health Research (13 papers), Mast cells and histamine (8 papers) and Cell Adhesion Molecules Research (7 papers). Markus Leskinen is often cited by papers focused on Neonatal Respiratory Health Research (13 papers), Mast cells and histamine (8 papers) and Cell Adhesion Molecules Research (7 papers). Markus Leskinen collaborates with scholars based in Finland, United States and Sweden. Markus Leskinen's co-authors include Petri T. Kovanen, Ken A. Lindstedt, Yenfeng Wang, Naotaka Shiota, Jukka K. Hakala, Dariusz Leszczyński, Jaakko Hollmén, Simo Särkkä, Sture Andersson and K.A. Lindstedt and has published in prestigious journals such as PLoS ONE, Arteriosclerosis Thrombosis and Vascular Biology and IEEE Access.

In The Last Decade

Markus Leskinen

24 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Leskinen Finland 11 326 110 106 102 84 26 578
Chiao Guo United States 14 423 1.3× 242 2.2× 50 0.5× 89 0.9× 64 0.8× 24 742
John Coucher Australia 8 278 0.9× 119 1.1× 31 0.3× 226 2.2× 118 1.4× 22 737
Ping Qin China 17 168 0.5× 74 0.7× 144 1.4× 84 0.8× 85 1.0× 45 832
Peter G. Tipping Australia 11 229 0.7× 68 0.6× 31 0.3× 74 0.7× 91 1.1× 14 503
Daniel Guldager Kring Rasmussen Denmark 15 76 0.2× 148 1.3× 37 0.3× 80 0.8× 82 1.0× 45 777
Linda Lai United States 11 140 0.4× 155 1.4× 57 0.5× 90 0.9× 54 0.6× 15 536
Els Melis Belgium 7 243 0.7× 106 1.0× 84 0.8× 42 0.4× 23 0.3× 11 579
Kathrin Hochegger Austria 12 222 0.7× 130 1.2× 32 0.3× 23 0.2× 42 0.5× 20 505
Marjolein Garsen Netherlands 10 201 0.6× 313 2.8× 17 0.2× 61 0.6× 86 1.0× 11 829
Lisa Seitz United States 12 356 1.1× 157 1.4× 114 1.1× 30 0.3× 253 3.0× 35 780

Countries citing papers authored by Markus Leskinen

Since Specialization
Citations

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

Fields of papers citing papers by Markus Leskinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Leskinen

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Leskinen. A scholar is included among the top collaborators of Markus Leskinen 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 Markus Leskinen. Markus Leskinen 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.
Mäkelä, P., Markus Leskinen, Reijo Sund, et al.. (2025). High early fluid and sodium intake as risk factors for acute kidney injury in very-low-birthweight infants. Pediatric Nephrology. 41(4). 1191–1201.
2.
Mäkelä, P., et al.. (2024). Actual electrolyte intake during the first week of life and morbidity in very‐low‐birthweight infants. Acta Paediatrica. 113(8). 1833–1844. 3 indexed citations
3.
Hallamaa, Lotta, et al.. (2023). Time of Delivery Contributes to Mortality and Morbidity in Preterm Infants. Neonatology. 120(6). 741–750.
4.
5.
Rantakari, Krista, Marjo Metsäranta, Jaakko Hollmén, et al.. (2021). Early oxygen levels contribute to brain injury in extremely preterm infants. Pediatric Research. 90(1). 131–139. 25 indexed citations
6.
Sankilampi, Ulla, P. Mäkelä, Markus Leskinen, et al.. (2021). Length of Nutritional Transition Associates Negatively with Postnatal Growth in Very Low Birthweight Infants. Nutrients. 13(11). 3961–3961. 4 indexed citations
7.
Mäkelä, P., et al.. (2020). A triple‐chamber parenteral nutrition solution was associated with improved protein intake in very low birthweight infants. Acta Paediatrica. 109(8). 1588–1594. 5 indexed citations
8.
Helve, Otto, et al.. (2020). Glucocorticoids, sodium transport mediators, and respiratory distress syndrome in preterm infants. Pediatric Research. 89(5). 1253–1260. 1 indexed citations
9.
10.
Särkkä, Simo, et al.. (2018). Gaussian process classification for prediction of in-hospital mortality among preterm infants. Neurocomputing. 298. 134–141. 19 indexed citations
11.
Särkkä, Simo, et al.. (2017). Prediction of preterm infant mortality with Gaussian process classification.. The European Symposium on Artificial Neural Networks. 3 indexed citations
12.
Hollmén, Jaakko, et al.. (2015). Variation in oxygen saturation measurements in very low birth weight infants. 1–3. 1 indexed citations
13.
Leskinen, Markus, Kari K. Eklund, Timo Sorsa, et al.. (2007). Inhibition of smooth muscle cell proliferation by a chemically modified tetracycline. Coronary Artery Disease. 18(8). 663–667. 2 indexed citations
14.
Leskinen, Markus, et al.. (2007). Activated Mast Cells Induce Endothelial Cell Apoptosis by a Combined Action of Chymase and Tumor Necrosis Factor-α. Arteriosclerosis Thrombosis and Vascular Biology. 28(2). 309–314. 58 indexed citations
15.
Leskinen, Markus, Mei Y. Speer, Jukka K. Hakala, et al.. (2006). Mast cell chymase induces smooth muscle cell apoptosis by disrupting NF-κB-mediated survival signaling☆. Experimental Cell Research. 312(8). 1289–1298. 43 indexed citations
16.
Leskinen, Markus, Petri T. Kovanen, & Ken A. Lindstedt. (2003). Regulation of smooth muscle cell growth, function and death in vitro by activated mast cells—a potential mechanism for the weakening and rupture of atherosclerotic plaques. Biochemical Pharmacology. 66(8). 1493–1498. 64 indexed citations
17.
Leskinen, Markus, et al.. (2003). Mast cell‐mediated apoptosis of endothelial cells in vitro: A paracrine mechanism involving TNF‐α‐mediated down‐regulation of bcl‐2 expression. Journal of Cellular Physiology. 195(1). 130–138. 48 indexed citations
18.
Leskinen, Markus, Ken A. Lindstedt, Yenfeng Wang, & Petri T. Kovanen. (2003). Mast Cell Chymase Induces Smooth Muscle Cell Apoptosis by a Mechanism Involving Fibronectin Degradation and Disruption of Focal Adhesions. Arteriosclerosis Thrombosis and Vascular Biology. 23(2). 238–243. 94 indexed citations
19.
Wang, Yenfeng, Naotaka Shiota, Markus Leskinen, Ken A. Lindstedt, & Petri T. Kovanen. (2001). Mast Cell Chymase Inhibits Smooth Muscle Cell Growth and Collagen Expression In Vitro. Arteriosclerosis Thrombosis and Vascular Biology. 21(12). 1928–1933. 49 indexed citations
20.
Leskinen, Markus, Yenfeng Wang, Dariusz Leszczyński, Ken A. Lindstedt, & Petri T. Kovanen. (2001). Mast Cell Chymase Induces Apoptosis of Vascular Smooth Muscle Cells. Arteriosclerosis Thrombosis and Vascular Biology. 21(4). 516–522. 61 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chiao Guo Breakdown of academic impact, for papers by John Coucher Breakdown of academic impact, for papers by Ping Qin Breakdown of academic impact, for papers by Peter G. Tipping Breakdown of academic impact, for papers by Daniel Guldager Kring Rasmussen Breakdown of academic impact, for papers by Linda Lai Breakdown of academic impact, for papers by Els Melis Breakdown of academic impact, for papers by Kathrin Hochegger Breakdown of academic impact, for papers by Marjolein Garsen Breakdown of academic impact, for papers by Lisa Seitz
Rankless by CCL
2026