Eeva Rahko

418 citations
16 papers · 313 · h-index 9

Impact in

    • Protease and Inhibitor Mechanisms
    • NF-κB Signaling Pathways
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses

Papers in

Eeva Rahko

15 papers receiving 294 citations

Peers

Eeva Rahko
Comparison fields: 5 of 62
  • Cancer Research 94
  • Immunology 103
  • Oncology 119
  • Radiological and Ultrasound Technology 14
  • Public Health, Environmental and Occupational Health 75
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Bent Fiane Norway
Kirtika Patel Kenya
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Julie‐Ann Francis Canada
Craig Waugh United Kingdom
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Marcus V. Ortega Alves United States
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Countries citing papers authored by Eeva Rahko

Since Specialization
Citations

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

Fields of papers citing papers by Eeva Rahko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eeva Rahko, 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 Eeva Rahko Line = papers co-authored together Eeva Rahko links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200875
2 200368
3 200848
4
Matrix metalloproteinase-9 (MMP-9) immunoreactive protein has modest prognostic value in locally advanced breast carcinoma patients treated with an adjuvant antiestrogen therapy.
200528
5 202126
6 202021
7 201911
8 200510
9 20238
10 20235
11
Palliatiivisen lääketieteen perusopetus : Suositus opetussuunnitelmasta yliopistojen lääketieteellisissä tiedekunnissa
20203
12 20093
13
Evaluation of tumor suppressor gene p53, oncogene c-erbB-2 and matrix-metalloproteinase-9 as prognostic and predictive factors in breast carcinoma
20073
14 20232
15
[Palliative (symptomatic) care of (imminently) dying patients].
20131
16 20231

About Eeva Rahko

Eeva Rahko is a scholar working on Public Health, Environmental and Occupational Health, Oncology, Pediatrics, Perinatology and Child Health, Cancer Research and Molecular Biology, having authored 16 papers that have together received 313 indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (9 papers), Patient Dignity and Privacy (5 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Cancer-related Molecular Pathways (3 papers), Breast Cancer Treatment Studies (2 papers), Immune Response and Inflammation (2 papers), Protease and Inhibitor Mechanisms (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (94 citations), Immunology (103 citations), Oncology (119 citations), Radiological and Ultrasound Technology (14 citations) and Public Health, Environmental and Occupational Health (75 citations). Eeva Rahko has collaborated with scholars based in Finland and United States. Frequent co-authors include Risto Bloigu, Guillermo Blanco, Ylermi Soini, Arja Jukkola‐Vuorinen, Katri S. Selander, Kevin W. Harris, Katri Vuopala, Minna Hökkä, Renée A. Desmond and Li Li. Their work appears in journals such as Acta Oncologica, BMC Palliative Care, Molecular Cancer Research, Journal of Innate Immunity and Journal of Palliative Care.

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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