Mirva Söderström

1.2k citations
36 papers · 965 · h-index 19

Impact in

    • Protease and Inhibitor Mechanisms
    • Breast Cancer Treatment Studies
    • Bone Tumor Diagnosis and Treatments

Papers in

    • Breast Cancer Treatment Studies 8
    • Protease and Inhibitor Mechanisms 2
    • Bone Tumor Diagnosis and Treatments 6

Mirva Söderström

36 papers receiving 952 citations

Peers

Mirva Söderström
Comparison fields: 5 of 74
  • Cancer Research 212
  • Rheumatology 159
  • Parasitology 58
  • Cell Biology 108
  • Molecular Biology 244
Replace A. Luz with:
A. Luz Germany
David R. Gibb United States
Jolieke G. van Oosterwijk Netherlands
Yanyan Han China
Tiina Kainulainen Finland
Mathieu Francois Derouet Canada
Julia Foldi United States
Kazuto Yamada Japan
Michael Novotny United States
Lianne van de Laar Netherlands
Mirva Söderström relative to A. Luz Germany A. Luz's profile →
Citations per field
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A. Luz · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mirva Söderström, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mirva Söderström Line = papers co-authored together Mirva Söderström links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014139
2 201180
3 200073
4 199961
5 200251
6 200943
7 200342
8 200839
9 201238
10 201833
11 201529
12 200127
13 200124
14 201724
15 201422
16 201622
17 201219
18 201319
19 201619
20 200317

About Mirva Söderström

Mirva Söderström is a scholar working on Cancer Research, Rheumatology, Parasitology, Cell Biology and Epidemiology, having authored 36 papers that have together received 965 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), Bone Tumor Diagnosis and Treatments (6 papers), Vector-borne infectious diseases (5 papers), Proteoglycans and glycosaminoglycans research (4 papers), Neuroendocrine Tumor Research Advances (3 papers), Pluripotent Stem Cells Research (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Cancer Research (212 citations), Rheumatology (159 citations), Parasitology (58 citations), Cell Biology (108 citations) and Molecular Biology (244 citations). Mirva Söderström has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include Hannu T. Aro, EERO I. VUORIO, Tom Böhling, T Ekfors, Pia Boström, Pauliina Kronqvist, Teijo Kuopio, Reino Pitkänen, Olli Carpén and Heli Repo. Their work appears in journals such as Apmis, BMC Cancer, The Journal of Infectious Diseases, Cardiovascular Toxicology and Matrix Biology.

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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