Mirva Söderström

1.2k citations
36 papers · 943 · h-index 19

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Bone Tumor Diagnosis and Treatments 6
    • Musculoskeletal synovial abnormalities and treatments 5

Mirva Söderström

36 papers receiving 927 citations

Peers

Mirva Söderström
Comparison fields: 5 of 87
  • Cancer Research 208
  • Immunology and Allergy 67
  • Rheumatology 153
  • Cell Biology 141
  • Parasitology 50
Replace Roberta Ceruti with:
Roberta Ceruti Italy
Patrick O. Emanuel United States
Susan Fosmire United States
Blandine Lieubeau France
Carl T. McGary United States
Steve P. Crampton United States
Masashi Kanayama Japan
Irmgard Verdorfer Austria
Catherine Degnin United States
Sofia Z. Raptis United States
Mirva Söderström relative to Roberta Ceruti Italy Roberta Ceruti's profile →
Citations per field
00.5×8.5×
Roberta Ceruti · 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 2014136
2 201177
3 200074
4 199959
5 200254
6 200943
7 200343
8 200838
9 201237
10 200532
11 201529
12 200127
13 200124
14 201724
15 201422
16 201621
17 201219
18 201618
19 201318
20 200317

About Mirva Söderström

Mirva Söderström is a scholar working on Molecular Biology, Rheumatology, Oncology, Cell Biology and Cancer Research, having authored 36 papers that have together received 943 indexed citations. Recurring topics across this work include Bone Tumor Diagnosis and Treatments (6 papers), Musculoskeletal synovial abnormalities and treatments (5 papers), Vector-borne infectious diseases (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Microtubule and mitosis dynamics (3 papers), Protease and Inhibitor Mechanisms (3 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cancer Research (208 citations), Immunology and Allergy (67 citations), Rheumatology (153 citations), Cell Biology (141 citations) and Parasitology (50 citations). Mirva Söderström has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Eero Vuorio, Hannu T. Aro, Tom Böhling, T Ekfors, Teijo Kuopio, Pia Boström, Pauliina Kronqvist, Reino Pitkänen, Olli Carpén and Tero Vahlberg. Their work appears in journals such as Apmis, The Journal of Infectious Diseases, BMC Cancer, The Journal of Gene Medicine and Journal of Histochemistry & Cytochemistry.

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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