Raisa Serpi

9.1k total citations
47 papers, 1.1k citations indexed

About

Raisa Serpi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Raisa Serpi has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 17 papers in Cardiology and Cardiovascular Medicine and 17 papers in Cancer Research. Recurrent topics in Raisa Serpi's work include Cancer, Hypoxia, and Metabolism (15 papers), Cardiac Fibrosis and Remodeling (15 papers) and Adipose Tissue and Metabolism (9 papers). Raisa Serpi is often cited by papers focused on Cancer, Hypoxia, and Metabolism (15 papers), Cardiac Fibrosis and Remodeling (15 papers) and Adipose Tissue and Metabolism (9 papers). Raisa Serpi collaborates with scholars based in Finland, United States and Hungary. Raisa Serpi's co-authors include Heikki Ruskoaho, Jaana Rysä, Peppi Koivunen, Olli Tenhunen, Elitsa Y. Dimova, Johanna Myllyharju, Zoltán Szabó, Kari I. Kivirikko, Gail Walkinshaw and Risto Kerkelä and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biomaterials.

In The Last Decade

Raisa Serpi

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raisa Serpi Finland 20 521 319 316 180 169 47 1.1k
Jaime Gutiérrez Chile 24 761 1.5× 177 0.6× 175 0.6× 204 1.1× 186 1.1× 51 1.5k
Zhengyu Luo United States 19 786 1.5× 237 0.7× 234 0.7× 235 1.3× 242 1.4× 28 1.3k
Hana Totary-Jain United States 20 786 1.5× 401 1.3× 207 0.7× 399 2.2× 116 0.7× 24 1.5k
Kristin M. French United States 10 720 1.4× 218 0.7× 535 1.7× 361 2.0× 126 0.7× 12 1.4k
Genshan Ma China 20 361 0.7× 168 0.5× 281 0.9× 182 1.0× 79 0.5× 69 996
Ljubica Matic Sweden 19 726 1.4× 319 1.0× 245 0.8× 161 0.9× 147 0.9× 67 1.6k
Matthew Ackers‐Johnson Singapore 15 1.2k 2.3× 540 1.7× 404 1.3× 208 1.2× 117 0.7× 24 1.6k
Jianru Shi United States 18 779 1.5× 243 0.8× 331 1.0× 95 0.5× 186 1.1× 33 1.3k
Chunyang Xiao United States 13 797 1.5× 366 1.1× 568 1.8× 191 1.1× 153 0.9× 21 1.4k
Baoqi Yu China 22 475 0.9× 182 0.6× 135 0.4× 192 1.1× 79 0.5× 32 950

Countries citing papers authored by Raisa Serpi

Since Specialization
Citations

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

Fields of papers citing papers by Raisa Serpi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raisa Serpi

This figure shows the co-authorship network connecting the top 25 collaborators of Raisa Serpi. A scholar is included among the top collaborators of Raisa Serpi 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 Raisa Serpi. Raisa Serpi 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.
Tupasela, Aaro, Tom Southerington, Lila Kallio, et al.. (2025). Estimating the use of biological samples in Finnish biobanks and hospital collections. European Journal of Human Genetics. 33(11). 1493–1498.
2.
Leinonen, Henri, Antti M. Salo, Ghulam Shere Raza, et al.. (2024). Metabolic characteristics of transmembrane prolyl 4-hydroxylase (P4H-TM) deficient mice. Pflügers Archiv - European Journal of Physiology. 476(9). 1339–1351. 2 indexed citations
3.
Dimova, Elitsa Y., Joni M. Mäki, Anu Laitala, et al.. (2022). Contribution of HIF-P4H isoenzyme inhibition to metabolism indicates major beneficial effects being conveyed by HIF-P4H-2 antagonism. Journal of Biological Chemistry. 298(8). 102222–102222. 4 indexed citations
4.
Mäkelä, Kari A., Karl‐Heinz Herzig, Franziska Dengler, et al.. (2020). HIF-P4H-2 inhibition enhances intestinal fructose metabolism and induces thermogenesis protecting against NAFLD. Journal of Molecular Medicine. 98(5). 719–731. 17 indexed citations
5.
Kietzmann, Thomas, Gail Walkinshaw, Daniela Mennerich, et al.. (2019). Systemic inactivation of hypoxia-inducible factor prolyl 4-hydroxylase 2 in mice protects from alcohol-induced fatty liver disease. Redox Biology. 22. 101145–101145. 22 indexed citations
6.
Kinnunen, Sini M., Mika J. Välimäki, Erhe Gao, et al.. (2018). Cardiac Actions of a Small Molecule Inhibitor Targeting GATA4–NKX2-5 Interaction. Scientific Reports. 8(1). 4611–4611. 30 indexed citations
7.
Rysä, Jaana, et al.. (2018). SDF1 gradient associates with the distribution of c-Kit+ cardiac cells in the heart. Scientific Reports. 8(1). 1160–1160. 13 indexed citations
8.
Dimova, Elitsa Y., et al.. (2018). Hypoxia causes reductions in birth weight by altering maternal glucose and lipid metabolism. Scientific Reports. 8(1). 13583–13583. 23 indexed citations
9.
Dimova, Elitsa Y., Sohvi Hörkkö, Helena Gylling, et al.. (2016). Hypoxia-Inducible Factor Prolyl 4-Hydroxylase-2 Inhibition Protects Against Development of Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 36(4). 608–617. 75 indexed citations
10.
Koivunen, Peppi, Raisa Serpi, & Elitsa Y. Dimova. (2016). Hypoxia-inducible factor prolyl 4-hydroxylase inhibition in cardiometabolic diseases. Pharmacological Research. 114. 265–273. 23 indexed citations
11.
Myllymäki, Mikko, Minna Heikkilä, Raija Sormunen, et al.. (2015). HIF-P4H-2 deficiency protects against skeletal muscle ischemia-reperfusion injury. Journal of Molecular Medicine. 94(3). 301–310. 13 indexed citations
12.
Rysä, Jaana, Leena Kaikkonen, Teemu Karvonen, et al.. (2015). WDR12, a Member of Nucleolar PeBoW-Complex, Is Up-Regulated in Failing Hearts and Causes Deterioration of Cardiac Function. PLoS ONE. 10(4). e0124907–e0124907. 7 indexed citations
13.
Szabó, Zoltán, Raisa Serpi, Juha Näpänkangas, et al.. (2015). The Early-Onset Myocardial Infarction Associated PHACTR1 Gene Regulates Skeletal and Cardiac Alpha-Actin Gene Expression. PLoS ONE. 10(6). e0130502–e0130502. 15 indexed citations
14.
Myllynen, Päivi, Raisa Serpi, Jaana Rysä, et al.. (2011). BMP-4 expression has prognostic significance in advanced serous ovarian carcinoma and is affected by cisplatin in OVCAR-3 cells. Tumor Biology. 32(5). 985–995. 21 indexed citations
15.
Skoumal, Réka, Miklós Tóth, Raisa Serpi, et al.. (2011). Parthenolide inhibits STAT3 signaling and attenuates angiotensin II-induced left ventricular hypertrophy via modulation of fibroblast activity. Journal of Molecular and Cellular Cardiology. 50(4). 634–641. 37 indexed citations
16.
Vainio, Laura, Niilo Ryti, Johanna Magga, et al.. (2011). Neuronostatin, a Novel Peptide Encoded by Somatostatin Gene, Regulates Cardiac Contractile Function and Cardiomyocyte Survival. Journal of Biological Chemistry. 287(7). 4572–4580. 16 indexed citations
17.
Serpi, Raisa, Olli Tenhunen, Tommi Vaskivuo, et al.. (2009). Divergent Effects of Losartan and Metoprolol on Cardiac Remodeling, C‐kit+Cells, Proliferation and Apoptosis in the Left Ventricle after Myocardial Infarction. Clinical and Translational Science. 2(6). 422–430. 14 indexed citations
18.
Immonen, Elina, Raisa Serpi, Kirsi Vähäkangas, & Päivi Myllynen. (2009). Responses of PhIP (2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine) in MCF-7 cells are culture condition dependent. Chemico-Biological Interactions. 182(1). 73–83. 5 indexed citations
19.
Rysä, Jaana, P Myllynen, Tommi Vaskivuo, et al.. (2006). Azidothymidine and cisplatin increase p14ARF expression in OVCAR-3 ovarian cancer cell line. Toxicology and Applied Pharmacology. 216(1). 89–97. 9 indexed citations
20.
Serpi, Raisa & Kirsi Vähäkangas. (2003). Benzo(a)pyrene‐Induced Changes in p53 and Related Proteins in Mouse Skin. Pharmacology & Toxicology. 92(5). 242–245. 4 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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