Jari Sundström

1.6k total citations
49 papers, 1.2k citations indexed

About

Jari Sundström is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Jari Sundström has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 17 papers in Molecular Biology and 15 papers in Cancer Research. Recurrent topics in Jari Sundström's work include Colorectal Cancer Treatments and Studies (13 papers), Genetic factors in colorectal cancer (12 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Jari Sundström is often cited by papers focused on Colorectal Cancer Treatments and Studies (13 papers), Genetic factors in colorectal cancer (12 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Jari Sundström collaborates with scholars based in Finland, Libya and Sweden. Jari Sundström's co-authors include Raija Ristamäki, Heikki Minn, Annika Ålgars, Eija Korkeila, Olli Carpén, Karí Syrjänen, Seppo Pyrhönen, E Nordman, Panu Jaakkola and Kati Talvinen and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Cell Science.

In The Last Decade

Jari Sundström

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jari Sundström Finland 22 520 484 332 295 154 49 1.2k
Joshua Armenia United States 18 680 1.3× 841 1.7× 512 1.5× 412 1.4× 153 1.0× 35 1.6k
Pierre Rudolph Germany 25 607 1.2× 621 1.3× 335 1.0× 323 1.1× 91 0.6× 41 1.5k
Brian P. Adley United States 22 347 0.7× 724 1.5× 313 0.9× 405 1.4× 149 1.0× 30 1.5k
Gayatry Mohapatra United States 14 517 1.0× 743 1.5× 320 1.0× 486 1.6× 63 0.4× 26 1.4k
Analía Azaro Spain 18 557 1.1× 569 1.2× 198 0.6× 295 1.0× 152 1.0× 56 1.1k
Paul J. van Diest Netherlands 22 549 1.1× 833 1.7× 454 1.4× 184 0.6× 90 0.6× 40 1.6k
François Ringeisen France 14 373 0.7× 517 1.1× 175 0.5× 305 1.0× 72 0.5× 33 899
Eleonor Olsson Sweden 12 668 1.3× 678 1.4× 617 1.9× 268 0.9× 202 1.3× 14 1.4k
Stefanie Avril United States 22 801 1.5× 649 1.3× 418 1.3× 189 0.6× 415 2.7× 45 1.7k
Elaine Hsuen Lim Singapore 21 454 0.9× 454 0.9× 288 0.9× 266 0.9× 201 1.3× 54 1.1k

Countries citing papers authored by Jari Sundström

Since Specialization
Citations

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

Fields of papers citing papers by Jari Sundström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jari Sundström

This figure shows the co-authorship network connecting the top 25 collaborators of Jari Sundström. A scholar is included among the top collaborators of Jari Sundström 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 Jari Sundström. Jari Sundström 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.
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Kurki, Samu, et al.. (2017). Ezrin expression combined with MSI status in prognostication of stage II colorectal cancer. PLoS ONE. 12(9). e0185436–e0185436. 13 indexed citations
3.
Liu, Ying, Jaakko Mattila, Sami Ventelä, et al.. (2017). PWP1 Mediates Nutrient-Dependent Growth Control through Nucleolar Regulation of Ribosomal Gene Expression. Developmental Cell. 43(2). 240–252.e5. 24 indexed citations
4.
Mansuri, Naziha, Samu Kurki, Annika Ålgars, et al.. (2017). Gastric cancer: immunohistochemical classification of molecular subtypes and their association with clinicopathological characteristics. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 472(3). 369–382. 51 indexed citations
5.
6.
Ålgars, Annika, Pia Österlund, Minnamaija Lintunen, et al.. (2014). Heterogeneous EGFR Gene Copy Number Increase Is Common in Colorectal Cancer and Defines Response to Anti-EGFR Therapy. PLoS ONE. 9(6). e99590–e99590. 17 indexed citations
7.
Korkeila, Eija, Jari Sundström, Seppo Pyrhönen, & Karí Syrjänen. (2012). Main effects and interactions of carbonic anhydrase IX, hypoxia-inducible factor-1α, ezrin and glucose transporter-1 in multivariate analysis for disease outcome in rectal cancer.. PubMed. 32(8). 3299–303. 5 indexed citations
8.
Korkeila, Eija, Panu Jaakkola, Karí Syrjänen, Seppo Pyrhönen, & Jari Sundström. (2011). Pronounced tumour regression after radiotherapy is associated with negative/weak glucose transporter-1 expression in rectal cancer.. PubMed. 31(1). 311–5. 14 indexed citations
9.
Mosakhani, Neda, Virinder Kaur Sarhadi, Ioana Borze, et al.. (2011). MicroRNA profiling differentiates colorectal cancer according to KRAS status. Genes Chromosomes and Cancer. 51(1). 1–9. 90 indexed citations
10.
Ålgars, Annika, M. Lintunen, Olli Carpén, Raija Ristamäki, & Jari Sundström. (2011). EGFR gene copy number assessment from areas with highest EGFR expression predicts response to anti-EGFR therapy in colorectal cancer. British Journal of Cancer. 105(2). 255–262. 40 indexed citations
11.
Ålgars, Annika, Heikki Irjala, Samuli Vaittinen, et al.. (2011). Type and location of tumor‐infiltrating macrophages and lymphatic vessels predict survival of colorectal cancer patients. International Journal of Cancer. 131(4). 864–873. 125 indexed citations
12.
Jokilehto, Terhi, Heidi Högel, Pekka T. Heikkinen, et al.. (2010). Retention of prolyl hydroxylase PHD2 in the cytoplasm prevents PHD2-induced anchorage-independent carcinoma cell growth. Experimental Cell Research. 316(7). 1169–1178. 10 indexed citations
13.
Korkeila, Eija, Panu Jaakkola, Karí Syrjänen, Jari Sundström, & Seppo Pyrhönen. (2009). Preoperative radiotherapy downregulates the nuclear expression of hypoxia-inducible factor-1α in rectal cancer. Scandinavian Journal of Gastroenterology. 45(3). 340–348. 12 indexed citations
14.
Talvinen, Kati, et al.. (2008). Proliferation marker securin identifies favourable outcome in invasive ductal breast cancer. British Journal of Cancer. 99(2). 335–340. 19 indexed citations
15.
Auranen, Annika, et al.. (2007). Prognostic factors of ovarian granulosa cell tumor: a study of 35 patients and review of the literature. International Journal of Gynecological Cancer. 17(5). 1011–1018. 49 indexed citations
16.
17.
Pailhoux, Éric, P. Parma, Jari Sundström, et al.. (2001). Time course of female‐to‐male sex reversal in 38,XX fetal and postnatal pigs. Developmental Dynamics. 222(3). 328–340. 32 indexed citations
18.
Veräjänkorva, Esko, Mika H. Martikainen, Antti Saraste, Jari Sundström, & Pasi Pöllänen. (1999). Sperm antibodies in rat models of male hormonal contraception and vasectomy. Reproduction Fertility and Development. 11(1). 49–58. 2 indexed citations
19.
Sundström, Jari, et al.. (1998). Prognosis of patients treated for intracranial metastases with whole-brain irradiation. Annals of Medicine. 30(3). 296–299. 113 indexed citations
20.
Sundström, Jari, Arno Hänninen, Mika H. Martikainen, et al.. (1997). CD106 (VCAM-1) in testicular immunoregulation. Journal of Reproductive Immunology. 33(3). 221–238. 16 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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