Veli-Matti Kosma

7.4k total citations
8 papers, 411 citations indexed

About

Veli-Matti Kosma is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Veli-Matti Kosma has authored 8 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Cancer Research. Recurrent topics in Veli-Matti Kosma's work include RNA modifications and cancer (3 papers), Fibroblast Growth Factor Research (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). Veli-Matti Kosma is often cited by papers focused on RNA modifications and cancer (3 papers), Fibroblast Growth Factor Research (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). Veli-Matti Kosma collaborates with scholars based in Finland, United States and Australia. Veli-Matti Kosma's co-authors include Päivi Auvinen, Raija Tammi, Richard G. LeBaron, Supaporn Suwiwat, Markku Tammi, Wayne D. Tilley, Carmela Ricciardelli, David J. Horsfall, Wendy A. Raymond and Vesa Kaartinen and has published in prestigious journals such as Clinical Cancer Research, The FASEB Journal and Cells.

In The Last Decade

Veli-Matti Kosma

8 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Veli-Matti Kosma Finland 6 172 112 109 96 80 8 411
David W. Schoppy United States 11 489 2.8× 80 0.7× 365 3.3× 88 0.9× 95 1.2× 22 692
Hemangini H. Vora India 13 228 1.3× 41 0.4× 260 2.4× 52 0.5× 69 0.9× 35 496
Lorian Menkema Netherlands 7 199 1.2× 36 0.3× 120 1.1× 63 0.7× 43 0.5× 7 366
Gitali Ganguli France 8 491 2.9× 66 0.6× 284 2.6× 32 0.3× 41 0.5× 9 627
Sanne R. Martens‐de Kemp Netherlands 13 337 2.0× 49 0.4× 227 2.1× 96 1.0× 36 0.5× 18 578
Chandramohan S. Ishwad United States 14 311 1.8× 17 0.2× 158 1.4× 52 0.5× 52 0.7× 20 547
Jonathan H. Law United States 6 184 1.1× 34 0.3× 230 2.1× 101 1.1× 50 0.6× 7 439
George Koutsodontis Greece 12 356 2.1× 22 0.2× 402 3.7× 61 0.6× 65 0.8× 20 674
Cara Dubyk United States 9 142 0.8× 52 0.5× 206 1.9× 86 0.9× 48 0.6× 9 387
Eric C. Yang Canada 8 182 1.1× 23 0.2× 132 1.2× 23 0.2× 39 0.5× 14 411

Countries citing papers authored by Veli-Matti Kosma

Since Specialization
Citations

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

Fields of papers citing papers by Veli-Matti Kosma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veli-Matti Kosma. 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 Veli-Matti Kosma. The network helps show where Veli-Matti Kosma may publish in the future.

Co-authorship network of co-authors of Veli-Matti Kosma

This figure shows the co-authorship network connecting the top 25 collaborators of Veli-Matti Kosma. A scholar is included among the top collaborators of Veli-Matti Kosma 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 Veli-Matti Kosma. Veli-Matti Kosma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Tengström, Maria, et al.. (2024). Circulating Micro-RNAs Predict the Risk of Recurrence in Triple-Negative Breast Cancer. Cells. 13(22). 1884–1884. 4 indexed citations
2.
Almangush, Alhadi, Ibrahim O. Bello, Ricardo D. Coletta, et al.. (2015). For early-stage oral tongue cancer, depth of invasion and worst pattern of invasion are the strongest pathological predictors for locoregional recurrence and mortality. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 467(1). 39–46. 115 indexed citations
3.
Hämäläinen, Kirsi, Veli-Matti Kosma, Raija Tammi, et al.. (2009). Downregulated CD44 and hyaluronan expression in vulvar intraepithelial neoplasia and squamous cell carcinomas. Acta Obstetricia Et Gynecologica Scandinavica. 89(1). 108–119. 5 indexed citations
4.
Erkko, Hannele, James G. Dowty, Jenni Nikkilä, et al.. (2008). Penetrance Analysis of the PALB2 c.1592delT Founder Mutation. Clinical Cancer Research. 14(14). 4667–4671. 79 indexed citations
5.
Casalini, Patrizia, Maria Luisa Carcangiu, Raija Tammi, et al.. (2008). Two Distinct Local Relapse Subtypes in Invasive Breast Cancer: Effect on their Prognostic Impact. Clinical Cancer Research. 14(1). 25–31. 11 indexed citations
6.
Suwiwat, Supaporn, Carmela Ricciardelli, Raija Tammi, et al.. (2004). Expression of Extracellular Matrix Components Versican, Chondroitin Sulfate, Tenascin, and Hyaluronan, and Their Association with Disease Outcome in Node-Negative Breast Cancer. Clinical Cancer Research. 10(7). 2491–2498. 125 indexed citations
7.
Kaartinen, Vesa, Pirjo Valtonen, Veli-Matti Kosma, et al.. (2000). Enzyme replacement therapy in a mouse model of aspartylglycosaminuria. The FASEB Journal. 14(2). 361–367. 62 indexed citations
8.
Setälä, Leena, Veli-Matti Kosma, P. Lipponen, et al.. (1998). Clinical relevance of p53 index and expression of proliferating cell nuclear antigen and Ki-67 in gastric cancer. Journal of Cancer Research and Clinical Oncology. 124(9). 497–502. 10 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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