Mervi Eeva

558 total citations
10 papers, 429 citations indexed

About

Mervi Eeva is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mervi Eeva has authored 10 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mervi Eeva's work include Genomic variations and chromosomal abnormalities (3 papers), Renal cell carcinoma treatment (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). Mervi Eeva is often cited by papers focused on Genomic variations and chromosomal abnormalities (3 papers), Renal cell carcinoma treatment (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). Mervi Eeva collaborates with scholars based in United States, Finland and Germany. Mervi Eeva's co-authors include David B. Seligson, Arie S. Belldegrun, Steve Horvath, Allan J. Pantuck, Aarno Palotie, Hong‐Jeng Yu, Sheila Tze, Li Ai, John S. Lam and Gang Zeng and has published in prestigious journals such as Cancer, Clinical Cancer Research and Genome Research.

In The Last Decade

Mervi Eeva

10 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mervi Eeva United States 9 298 150 97 64 48 10 429
Zhi-Ren Liu United States 9 516 1.7× 159 1.1× 96 1.0× 57 0.9× 34 0.7× 9 641
C Mazeau France 8 230 0.8× 170 1.1× 94 1.0× 68 1.1× 37 0.8× 16 399
Annamaria Gal United Kingdom 6 318 1.1× 218 1.5× 110 1.1× 64 1.0× 37 0.8× 12 454
M. Ángeles Villaronga Spain 17 420 1.4× 139 0.9× 162 1.7× 74 1.2× 40 0.8× 28 577
Byung–Kyu Ryu South Korea 10 374 1.3× 135 0.9× 120 1.2× 62 1.0× 59 1.2× 11 562
Jeffrey E. Lehr United States 7 308 1.0× 169 1.1× 70 0.7× 120 1.9× 42 0.9× 9 494
E Zanghellini France 8 227 0.8× 156 1.0× 93 1.0× 54 0.8× 38 0.8× 12 380
Guido Hennig Germany 9 333 1.1× 187 1.2× 137 1.4× 44 0.7× 42 0.9× 10 504
Eun‐Kyoung Breuer United States 13 309 1.0× 181 1.2× 152 1.6× 65 1.0× 66 1.4× 17 475
Sk. Kayum Alam United States 12 312 1.0× 164 1.1× 125 1.3× 49 0.8× 53 1.1× 18 461

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-authorship network of co-authors of Mervi Eeva

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

All Works

10 of 10 papers shown
1.
Miki, Rika, Mervi Eeva, Francesca Fike, et al.. (2007). Reciprocal Regulation of SOCS 1 and SOCS3 Enhances Resistance to Ionizing Radiation in Glioblastoma Multiforme. Clinical Cancer Research. 13(8). 2344–2353. 93 indexed citations
2.
Seligson, David B., Sigrid A. Rajasekaran, Hong‐Jeng Yu, et al.. (2007). Na,K-Adenosine Triphosphatase α 1 -Subunit Predicts Survival of Renal Clear Cell Carcinoma. The Journal of Urology. 179(1). 338–345. 32 indexed citations
3.
Lam, John S., David B. Seligson, Hong‐Jeng Yu, et al.. (2006). Flap endonuclease 1 is overexpressed in prostate cancer and is associated with a high Gleason score. British Journal of Urology. 98(2). 445–451. 88 indexed citations
4.
Seligson, David B., Allan J. Pantuck, Xueli Liu, et al.. (2004). Epithelial Cell Adhesion Molecule (KSA) Expression. Clinical Cancer Research. 10(8). 2659–2669. 100 indexed citations
5.
Visapää, Harri, David B. Seligson, Mervi Eeva, et al.. (2003). 8q24 Amplification in Transitional Cell Carcinoma of Bladder. Applied immunohistochemistry & molecular morphology. 11(1). 33–36. 9 indexed citations
6.
Visapää, Harri, David B. Seligson, Mervi Eeva, et al.. (2003). . Applied Immunohistochemistry. 11(1). 33–36. 1 indexed citations
7.
Rao, Jianyu, David B. Seligson, Harri Visapää, et al.. (2002). Tissue microarray analysis of cytoskeletal actin‐associated biomarkers gelsolin and E‐cadherin in urothelial carcinoma. Cancer. 95(6). 1247–1257. 76 indexed citations
8.
Horelli‐Kuitunen, Nina, Johanna Aaltonen, Marie‐Laure Yaspo, et al.. (1999). Mapping ESTs by Fiber–FISH. Genome Research. 9(1). 62–71. 9 indexed citations
9.
Horelli‐Kuitunen, Nina, Johanna Aaltonen, Marie‐Laure Yaspo, et al.. (1999). Mapping ESTs by fiber-FISH.. PubMed. 9(1). 62–71. 9 indexed citations
10.
Horelli‐Kuitunen, Nina, et al.. (1999). Interstitial deletion of bands 11q21?22.3 in a three-year-old girl defined using fluorescence in situ hybridization on metaphase chromosomes. American Journal of Medical Genetics. 86(5). 416–419. 12 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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