Marilena Melas

1.6k citations
15 papers · 156 · h-index 8

Impact in

Papers in

    • Colorectal Cancer Screening and Detection 4
    • Colorectal Cancer Treatments and Studies 3
    • PARP inhibition in cancer therapy 2
    • Cancer Immunotherapy and Biomarkers 2
    • Genetics, Bioinformatics, and Biomedical Research 1

Marilena Melas

15 papers receiving 156 citations

Peers

Marilena Melas
Comparison fields: 5 of 43
  • Pathology and Forensic Medicine 57
  • Cancer Research 42
  • Oncology 48
  • Genetics 36
  • Molecular Biology 70
Replace Dagmara Dymerska with:
Dagmara Dymerska Poland
Shannon van Vliet Netherlands
Joyce Wei Ting Goh United Kingdom
Iva Petrovchich United States
Lisa Richters Germany
Yael Laitman Israel
Saira Khalique United Kingdom
Clarinda Chua Singapore
Siobhan Rice United Kingdom
Katarína Petráková Czechia
Marilena Melas relative to Dagmara Dymerska Poland Dagmara Dymerska's profile →
Citations per field
00.5×10×
Dagmara Dymerska · 1×
Citations per year

Countries citing papers authored by Marilena Melas

Since Specialization
Citations

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

Fields of papers citing papers by Marilena Melas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201733
2 201724
3 201518
4 202218
5 201516
6 202012
7 202110
8 20178
9 20206
10 20214
11 20233
12 20201
13 20161
14 20151
15 20181

About Marilena Melas

Marilena Melas is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Genetics and Immunology, having authored 15 papers that have together received 156 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Colorectal Cancer Screening and Detection (4 papers), Colorectal Cancer Treatments and Studies (3 papers), PARP inhibition in cancer therapy (2 papers), BRCA gene mutations in cancer (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Genomics and Diagnostics (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (57 citations), Cancer Research (42 citations), Oncology (48 citations), Genetics (36 citations) and Molecular Biology (70 citations). Marilena Melas has collaborated with scholars based in United States, Greece and Spain. Frequent co-authors include Stephen B. Gruber, Kevin McDonnell, Gregory Idos, Petros Grivas, Athanasios G. Papavassiliou, Kim L. McBride, Julie O. Culver, Carin R. Espenschied, Leon Raskin and Charité Ricker. Their work appears in journals such as Journal of Clinical Medicine, Gynecologic Oncology, Cancer Research, Human Mutation and Journal of Clinical Oncology.

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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