Mervi Eeva

558 citations
10 papers · 429 · h-index 9

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Renal and related cancers 2
    • Single-cell and spatial transcriptomics 1
    • Advanced biosensing and bioanalysis techniques 1
    • Cancer Cells and Metastasis 2

Mervi Eeva

10 papers receiving 422 citations

Peers

Mervi Eeva
Comparison fields: 5 of 64
  • Cancer Research 97
  • Oncology 150
  • Molecular Biology 298
  • Cell Biology 48
  • Immunology and Allergy 15
Replace Annamaria Gal with:
Annamaria Gal United Kingdom
C Mazeau France
Laura Bazley United Kingdom
Raffaella Pippa Spain
E Zanghellini France
Irene García‐Palmero Spain
M. Ángeles Villaronga Spain
Silvia Licciulli Italy
Byung–Kyu Ryu South Korea
Alessandro Carugo United States
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Citations per field
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Annamaria Gal · 1×
Citations per year

Countries citing papers authored by Mervi Eeva

Since Specialization
Citations

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

Fields of papers citing papers by Mervi Eeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2004100
2 200793
3 200688
4 200276
5 200732
6 199912
7 20039
8
Mapping ESTs by fiber-FISH.
19999
9 19999
10
20031

About Mervi Eeva

Mervi Eeva is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 10 papers that have together received 429 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (3 papers), Renal and related cancers (2 papers), Cancer Cells and Metastasis (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Renal cell carcinoma treatment (2 papers), Single-cell and spatial transcriptomics (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (97 citations), Oncology (150 citations), Molecular Biology (298 citations), Cell Biology (48 citations) and Immunology and Allergy (15 citations). Mervi Eeva has collaborated with scholars based in United States, Finland and Japan. Frequent co-authors include David B. Seligson, Arie S. Belldegrun, Steve Horvath, Allan J. Pantuck, Aarno Palotie, Hong‐Jeng Yu, Sheila Tze, Gang Zeng, Li Ai and Harri Visapää. Their work appears in journals such as Clinical Cancer Research, Cancer, Applied immunohistochemistry & molecular morphology, The Journal of Urology and Applied Immunohistochemistry.

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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