Sotiris Lakis

567 citations
14 papers · 148 indexed · h-index 8

Sotiris Lakis

11 papers receiving 143 citations

Peers

Sotiris Lakis
Comparison fields: 5 of 42
  • Cancer Research 68
  • Oncology 79
  • Pathology and Forensic Medicine 31
  • Molecular Biology 45
  • Genetics 18
Replace Clarinda Chua with:
Clarinda Chua Singapore
Enwei Xu China
Changmi Deng China
Marilena Melas United States
Adnan Ahmad Ansari South Korea
Diane De Croze France
Maria Pilar Barretina-Ginesta Spain
Daliah Tsoref Israel
Xiaolu Ma China
Brigitte Sigal France
Sotiris Lakis relative to Clarinda Chua Singapore Clarinda Chua's profile →
Citations per field
00.5×6.5×
Clarinda Chua · 1×
Citations per year

Countries citing papers authored by Sotiris Lakis

Since Specialization
Citations

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

Fields of papers citing papers by Sotiris Lakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 20171
2 201714
3 201642
4 201628
5 20157
6 20150
7 20151
8 201423
9 20149
10 20140
11 20141
12 20130
13
The prognostic significance of WNT pathway in surgically-treated colorectal cancer: β-catenin expression predicts for disease-free survival.
201314
14 20108

About Sotiris Lakis

Sotiris Lakis is a scholar working on Cancer Research, Oncology, Immunology and Allergy, Pathology and Forensic Medicine and Molecular Biology, having authored 14 papers that have together received 148 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), HER2/EGFR in Cancer Research (5 papers), Cancer Genomics and Diagnostics (5 papers), Molecular Biology Techniques and Applications (3 papers), Gene expression and cancer classification (2 papers), Breast Lesions and Carcinomas (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Cancer Research (68 citations), Oncology (79 citations), Pathology and Forensic Medicine (31 citations), Molecular Biology (45 citations) and Genetics (18 citations). Sotiris Lakis has collaborated with scholars based in Greece, Germany and Switzerland. Frequent co-authors include Ralph M. Wirtz, Kornelia Schlombs, Mark Laible, Sebastian Eidt, Uğur Şahin, Elke Veltrup, Vassiliki Kotoula, Robert Stöhr, Arndt Hartmann and George Fountzilas. Their work appears in journals such as Cancer Research, Annals of Oncology, Experimental and Toxicologic Pathology, Journal of Clinical Oncology and Oncotarget.

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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