Mirva Söderström

1.2k total citations
36 papers, 903 citations indexed

About

Mirva Söderström is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Mirva Söderström has authored 36 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cell Biology and 8 papers in Oncology. Recurrent topics in Mirva Söderström's work include Microtubule and mitosis dynamics (6 papers), Bone Tumor Diagnosis and Treatments (6 papers) and Musculoskeletal synovial abnormalities and treatments (5 papers). Mirva Söderström is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Bone Tumor Diagnosis and Treatments (6 papers) and Musculoskeletal synovial abnormalities and treatments (5 papers). Mirva Söderström collaborates with scholars based in Finland, United States and United Kingdom. Mirva Söderström's co-authors include Eero Vuorio, Hannu T. Aro, Tom Böhling, T Ekfors, Pauliina Kronqvist, Teijo Kuopio, Pia Boström, Reino Pitkänen, Heli Repo and Eliisa Löyttyniemi and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Mirva Söderström

36 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mirva Söderström Finland 18 454 256 223 174 158 36 903
Bernd Werle Germany 18 347 0.8× 564 2.2× 265 1.2× 81 0.5× 135 0.9× 24 938
Yao-Yun Liang United States 17 1.2k 2.7× 236 0.9× 345 1.5× 66 0.4× 36 0.2× 20 1.5k
Irmgard Verdorfer Austria 17 370 0.8× 215 0.8× 172 0.8× 188 1.1× 62 0.4× 46 849
Sofia Z. Raptis United States 8 314 0.7× 286 1.1× 234 1.0× 103 0.6× 67 0.4× 10 1.0k
Wikky Tigchelaar Netherlands 21 446 1.0× 345 1.3× 190 0.9× 81 0.5× 78 0.5× 26 1.3k
Roberta Ceruti Italy 15 356 0.8× 171 0.7× 283 1.3× 115 0.7× 16 0.1× 20 806
S Saga Japan 17 753 1.7× 288 1.1× 404 1.8× 235 1.4× 34 0.2× 25 1.5k
SJ Harper United Kingdom 10 565 1.2× 163 0.6× 256 1.1× 61 0.4× 176 1.1× 15 943
Leila Jeskanen Finland 21 248 0.5× 331 1.3× 308 1.4× 50 0.3× 90 0.6× 39 1.1k
Nuria Mencia-Trinchant United States 14 579 1.3× 288 1.1× 222 1.0× 58 0.3× 17 0.1× 27 1.3k

Countries citing papers authored by Mirva Söderström

Since Specialization
Citations

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

Fields of papers citing papers by Mirva Söderström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirva Söderström

This figure shows the co-authorship network connecting the top 25 collaborators of Mirva Söderström. A scholar is included among the top collaborators of Mirva Söderström 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 Mirva Söderström. Mirva Söderström 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.
Vesterinen, Tiina, Helena Leijon, Heini Huhtala, et al.. (2023). Immunohistochemical somatostatin receptor expression in insulinomas. Apmis. 131(4). 152–160. 5 indexed citations
2.
Vesterinen, Tiina, Helena Leijon, Heini Huhtala, et al.. (2023). Immunohistochemical Glucagon-like Peptide-1 Receptor Expression in Human Insulinomas. International Journal of Molecular Sciences. 24(20). 15164–15164. 8 indexed citations
3.
Virta, Jenni, Sanna Hellberg, Heidi Liljenbäck, et al.. (2020). Effects of dipeptidyl peptidase 4 inhibition on inflammation in atherosclerosis: A 18F-fluorodeoxyglucose study of a mouse model of atherosclerosis and type 2 diabetes. Atherosclerosis. 305. 64–72. 5 indexed citations
4.
Söderström, Mirva, et al.. (2019). The Effects of Neuropeptide Y Overexpression on the Mouse Model of Doxorubicin-Induced Cardiotoxicity. Cardiovascular Toxicology. 20(3). 328–338. 6 indexed citations
5.
Repo, Heli, Eliisa Löyttyniemi, Minnamaija Lintunen, et al.. (2017). PTTG1-interacting protein (PTTG1IP/PBF) predicts breast cancer survival. BMC Cancer. 17(1). 705–705. 24 indexed citations
6.
Liljenbäck, Heidi, Meeri Käkelä, Mirva Söderström, et al.. (2017). Targeting of vascular adhesion protein-1 by positron emission tomography visualizes sites of inflammation in Borrelia burgdorferi-infected mice. Arthritis Research & Therapy. 19(1). 254–254. 10 indexed citations
7.
Sainio, Annele, Cristina Valensisi, Mirva Söderström, et al.. (2016). Epigenetic Silencing of the Key Antioxidant Enzyme Catalase in Karyotypically Abnormal Human Pluripotent Stem Cells. Scientific Reports. 6(1). 22190–22190. 19 indexed citations
8.
Repo, Heli, Eliisa Löyttyniemi, M. Nykänen, et al.. (2015). Expression of cohesin subunit SA2 predicts breast cancer survival. Annals of Oncology. 26. iii15–iii15. 1 indexed citations
9.
Söderström, Mirva, et al.. (2015). Decorin Binding Proteins of Borrelia burgdorferi Promote Arthritis Development and Joint Specific Post-Treatment DNA Persistence in Mice. PLoS ONE. 10(3). e0121512–e0121512. 27 indexed citations
10.
Repo, Heli, Ilmari Ahonen, Eliisa Löyttyniemi, et al.. (2014). Cdc20 and securin overexpression predict short-term breast cancer survival. British Journal of Cancer. 110(12). 2905–2913. 134 indexed citations
11.
Kulkova, Julia, Laura Lindholm, Erkki Eerola, et al.. (2014). 68Ga-DOTA-Siglec-9 PET/CT imaging of peri-implant tissue responses and staphylococcal infections. EJNMMI Research. 4(1). 45–45. 19 indexed citations
12.
Emani, Rohini, Muhammad Nadeem Asghar, Raine Toivonen, et al.. (2013). Casein hydrolysate diet controls intestinal T cell activation, free radical production and microbial colonisation in NOD mice. Diabetologia. 56(8). 1781–1791. 14 indexed citations
13.
Pitkänen, Reino, et al.. (2012). Securin predicts aneuploidy and survival in breast cancer. Histopathology. 60(4). 586–596. 19 indexed citations
14.
Boström, Pia, Mirva Söderström, Tero Vahlberg, et al.. (2011). MMP-1 expression has an independent prognostic value in breast cancer. BMC Cancer. 11(1). 348–348. 76 indexed citations
16.
Söderström, Mirva, et al.. (2010). Expression of ezrin, Bcl‐2, and Ki‐67 in chondrosarcomas. Apmis. 118(10). 769–776. 6 indexed citations
17.
Boström, Pia, Mirva Söderström, Tero Vahlberg, et al.. (2009). Analysis of cyclins A, B1, D1 and E in breast cancer in relation to tumour grade and other prognostic factors. BMC Research Notes. 2(1). 140–140. 42 indexed citations
18.
Söderström, Mirva, Tom Böhling, T Ekfors, et al.. (2002). Molecular profiling of human chondrosarcomas for matrix production and cancer markers. International Journal of Cancer. 100(2). 144–151. 51 indexed citations
19.
Söderström, Mirva, Hannu T. Aro, Matti Ahonen, et al.. (2001). Expression of matrix metalloproteinases and tissue inhibitors of metalloproteinases in human chondrosarcomasNote. Apmis. 109(4). 305–315. 27 indexed citations
20.
Uusitalo, Hannele, Arto Hiltunen, Mirva Söderström, Hannu T. Aro, & Eero Vuorio. (2000). Expression of Cathepsins B, H, K, L, and S and Matrix Metalloproteinases 9 and 13 During Chondrocyte Hypertrophy and Endochondral Ossification in Mouse Fracture Callus. Calcified Tissue International. 67(5). 382–390. 70 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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