George M. Yousef

16.1k total citations · 1 hit paper
236 papers, 12.1k citations indexed

About

George M. Yousef is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, George M. Yousef has authored 236 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Molecular Biology, 92 papers in Genetics and 78 papers in Cancer Research. Recurrent topics in George M. Yousef's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (92 papers), MicroRNA in disease regulation (46 papers) and Renal cell carcinoma treatment (36 papers). George M. Yousef is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (92 papers), MicroRNA in disease regulation (46 papers) and Renal cell carcinoma treatment (36 papers). George M. Yousef collaborates with scholars based in Canada, Greece and United States. George M. Yousef's co-authors include Eleftherios P. Diamandis, Andreas Scorilas, Nicole M. White, Klaus Jung, Antoninus Soosaipillai, Carsten Stephan, Angeliki Magklara, Maria Pasic, Evi Lianidou and S. Fracchioli and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

George M. Yousef

234 papers receiving 12.0k citations

Hit Papers

The New Human Tissue Kallikrein Gene Family: Structure, F... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George M. Yousef Canada 66 6.0k 4.5k 4.1k 2.7k 2.2k 236 12.1k
Hubert Serve Germany 59 8.5k 1.4× 2.6k 0.6× 2.9k 0.7× 3.1k 1.2× 6.8k 3.2× 299 15.5k
James J. Vredenburgh United States 63 4.1k 0.7× 8.2k 1.8× 3.4k 0.8× 4.7k 1.8× 1.5k 0.7× 266 15.2k
Gary E. Gallick United States 67 7.7k 1.3× 966 0.2× 2.9k 0.7× 6.0k 2.3× 1.2k 0.6× 202 13.7k
Carsten Müller‐Tidow Germany 64 11.4k 1.9× 1.8k 0.4× 4.3k 1.1× 4.3k 1.6× 5.3k 2.4× 492 18.0k
Dionyssios Katsaros Italy 61 7.1k 1.2× 1.4k 0.3× 4.5k 1.1× 4.6k 1.7× 655 0.3× 200 13.7k
W.K. Alfred Yung United States 64 8.1k 1.3× 6.4k 1.4× 3.2k 0.8× 3.8k 1.4× 243 0.1× 175 15.0k
Nils Brünner Denmark 56 4.0k 0.7× 627 0.1× 5.0k 1.2× 4.1k 1.5× 1.6k 0.7× 238 9.9k
Craig Horbinski United States 56 4.5k 0.8× 3.7k 0.8× 2.5k 0.6× 1.7k 0.6× 422 0.2× 213 10.6k
Atanasio Pandiella Spain 57 6.6k 1.1× 667 0.1× 1.5k 0.4× 4.9k 1.8× 1.4k 0.6× 284 11.6k
Martin Sattler United States 55 4.3k 0.7× 1.5k 0.3× 764 0.2× 2.4k 0.9× 3.1k 1.4× 151 8.6k

Countries citing papers authored by George M. Yousef

Since Specialization
Citations

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

Fields of papers citing papers by George M. Yousef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George M. Yousef. 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 George M. Yousef. The network helps show where George M. Yousef may publish in the future.

Co-authorship network of co-authors of George M. Yousef

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

All Works

20 of 20 papers shown
1.
Clarke, Blaise, et al.. (2025). Large scale implementation of DP for clinical diagnoses: experience, challenges, and lessons learned. Critical Reviews in Clinical Laboratory Sciences. 63(2). 109–123.
3.
Bruce, Christine, et al.. (2024). Transforming diagnostics: The implementation of digital pathology in clinical laboratories. Histopathology. 85(2). 207–214. 11 indexed citations
4.
Meo, Ashley Di, Marshall Brown, Antonio Finelli, et al.. (2019). Prognostic urinary miRNAs for the assessment of small renal masses. Clinical Biochemistry. 75. 15–22. 23 indexed citations
5.
Hanna, Jessica, et al.. (2019). Journal Impact Factor: A Bumpy Ride in an Open Space. Journal of Investigative Medicine. 68(1). 83–87. 28 indexed citations
6.
Morgan, Sarah, Jessica Hanna, & George M. Yousef. (2019). Knowledge Translation in Oncology. American Journal of Clinical Pathology. 153(1). 5–13. 7 indexed citations
7.
Meo, Ashley Di, Ihor Batruch, Marshall Brown, et al.. (2019). Searching for prognostic biomarkers for small renal masses in the urinary proteome. International Journal of Cancer. 146(8). 2315–2325. 29 indexed citations
8.
Damayanti, Nur P., Justin A. Budka, Heba Khella, et al.. (2018). Therapeutic Targeting of TFE3/IRS-1/PI3K/mTOR Axis in Translocation Renal Cell Carcinoma. Clinical Cancer Research. 24(23). 5977–5989. 61 indexed citations
9.
Barsoum, Ivraym B., et al.. (2018). Histo-genomics: digital pathology at the forefront of precision medicine. Diagnosis. 6(3). 203–212. 23 indexed citations
10.
Hu, Liang, Svetlana M. Krylova, Burton B. Yang, et al.. (2018). Direct Quantitative Analysis of Multiple microRNAs (DQAMmiR) with Peptide Nucleic Acid Hybridization Probes. Analytical Chemistry. 90(24). 14610–14615. 11 indexed citations
11.
Meo, Ashley Di, et al.. (2017). Liquid biopsy: a step forward towards precision medicine in urologic malignancies. Molecular Cancer. 16(1). 80–80. 265 indexed citations
12.
Ding, Qiang, et al.. (2016). KLK6‐regulated miRNA networks activate oncogenic pathways in breast cancer subtypes. Molecular Oncology. 10(7). 993–1007. 23 indexed citations
13.
Khella, Heba, Andreas Scorilas, Evi Lianidou, et al.. (2015). Low Expression of miR-126 Is a Prognostic Marker for Metastatic Clear Cell Renal Cell Carcinoma. American Journal Of Pathology. 185(3). 693–703. 56 indexed citations
14.
Girgis, Andrew H., Vladimir V. Iakovlev, Ben Beheshti, et al.. (2012). Multilevel Whole-Genome Analysis Reveals Candidate Biomarkers in Clear Cell Renal Cell Carcinoma. Cancer Research. 72(20). 5273–5284. 83 indexed citations
15.
Petraki, Constantina, Andreas Scorilas, Maria Pasic, et al.. (2012). Evaluation and prognostic significance of human tissue kallikrein-related peptidase 6 (KLK6) in colorectal cancer. Pathology - Research and Practice. 208(2). 104–108. 30 indexed citations
16.
Angelopoulou, Katerina, Ioannis Prassas, & George M. Yousef. (2009). The canine kallikrein-related peptidase 14: Structural characterization, alternative splicing and differential expression in mammary cancer. Gene. 446(2). 68–74. 4 indexed citations
17.
Yousef, George M., Andreas Scorilas, Terukazu Nakamura, et al.. (2003). The Prognostic Value of the Human Kallikrein Gene 9 (KLK9) in Breast Cancer. Breast Cancer Research and Treatment. 78(2). 149–158. 41 indexed citations
18.
Yousef, George M. & Eleftherios P. Diamandis. (2002). Expanded Human Tissue Kallikrein Family – A Novel Panel of Cancer Biomarkers. Tumor Biology. 23(3). 185–192. 76 indexed citations
19.
Yousef, George M. & Eleftherios P. Diamandis. (2002). Human Tissue Kallikreins: A New Enzymatic Cascade Pathway?. Biological Chemistry. 383(7-8). 1045–57. 88 indexed citations
20.
Yousef, George M., Carla A. Borgoño, Andreas Scorilas, et al.. (2002). Quantitative analysis of human kallikrein gene 14 expression in breast tumours indicates association with poor prognosis. British Journal of Cancer. 87(11). 1287–1293. 41 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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