Mona Diab‐Assaf

2.8k total citations · 2 hit papers
73 papers, 2.1k citations indexed

About

Mona Diab‐Assaf is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Mona Diab‐Assaf has authored 73 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Immunology and 13 papers in Cancer Research. Recurrent topics in Mona Diab‐Assaf's work include T-cell and Retrovirus Studies (7 papers), Bioactive Compounds and Antitumor Agents (7 papers) and Nanoplatforms for cancer theranostics (6 papers). Mona Diab‐Assaf is often cited by papers focused on T-cell and Retrovirus Studies (7 papers), Bioactive Compounds and Antitumor Agents (7 papers) and Nanoplatforms for cancer theranostics (6 papers). Mona Diab‐Assaf collaborates with scholars based in Lebanon, France and Saudi Arabia. Mona Diab‐Assaf's co-authors include Laëtitia Delort, Florence Caldefie‐Chezet, Ola Habanjar, Albert Roessner, Hala Gali‐Muhtasib, Regine Schneider‐Stock, Roland Hartig, Carsten Boltze, Caroline Decombat and Steve Harakeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.

In The Last Decade

Mona Diab‐Assaf

71 papers receiving 2.0k citations

Hit Papers

3D Cell Culture Systems: Tumor Application, Advantages, a... 2021 2026 2022 2024 2021 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mona Diab‐Assaf Lebanon 24 663 462 411 325 255 73 2.1k
Hanchun Chen China 29 1.4k 2.1× 253 0.5× 398 1.0× 114 0.4× 165 0.6× 102 2.6k
Shireen Vali United States 23 1.2k 1.8× 174 0.4× 497 1.2× 198 0.6× 70 0.3× 67 2.1k
Bilal Bin Hafeez United States 36 1.9k 2.9× 194 0.4× 551 1.3× 340 1.0× 292 1.1× 82 3.7k
Lu Fan Singapore 23 1.2k 1.9× 122 0.3× 526 1.3× 93 0.3× 113 0.4× 39 2.4k
Sosmitha Girisa India 25 1.1k 1.6× 145 0.3× 271 0.7× 103 0.3× 82 0.3× 59 2.2k
Seung Ho Baek South Korea 22 738 1.1× 119 0.3× 318 0.8× 97 0.3× 97 0.4× 60 1.6k
Amareshwar T.K. Singh United States 17 1.2k 1.9× 139 0.3× 458 1.1× 75 0.2× 150 0.6× 32 2.3k
Xiaohua Gao United States 29 1.7k 2.5× 177 0.4× 223 0.5× 254 0.8× 49 0.2× 94 3.1k
Cheng‐Hao Jin China 29 1.1k 1.6× 125 0.3× 234 0.6× 137 0.4× 69 0.3× 112 2.3k
Tanya Das India 36 2.2k 3.3× 220 0.5× 876 2.1× 170 0.5× 163 0.6× 92 4.1k

Countries citing papers authored by Mona Diab‐Assaf

Since Specialization
Citations

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

Fields of papers citing papers by Mona Diab‐Assaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona Diab‐Assaf. 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 Mona Diab‐Assaf. The network helps show where Mona Diab‐Assaf may publish in the future.

Co-authorship network of co-authors of Mona Diab‐Assaf

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Diab‐Assaf. A scholar is included among the top collaborators of Mona Diab‐Assaf 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 Mona Diab‐Assaf. Mona Diab‐Assaf 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.
Decombat, Caroline, Ola Habanjar, Pierre Chalard, et al.. (2025). Selected Plant Extracts Regulating the Inflammatory Immune Response and Oxidative Stress: Focus on Quercus robur. Nutrients. 17(3). 510–510. 1 indexed citations
2.
Pinon, Aline, et al.. (2024). Photodynamic Therapy against Colorectal Cancer Using Porphin-Loaded Arene Ruthenium Cages. International Journal of Molecular Sciences. 25(19). 10847–10847. 2 indexed citations
3.
Therrien, Bruno, et al.. (2024). Cellular Uptake and Phototoxicity Optimization of Arene Ruthenium Porphyrin Derivatives. Inorganics. 12(3). 86–86. 1 indexed citations
4.
Roch, Benoît, Ekaterina Pisareva, Cynthia Sánchez, et al.. (2023). Impact of platelet activation on the release of cell-free mitochondria and circulating mitochondrial DNA. Clinica Chimica Acta. 553. 117711–117711. 3 indexed citations
5.
Diab‐Assaf, Mona, et al.. (2023). Photodynamic therapy in colorectal cancer using photosensitizers functionalized by arene-ruthenium complexes. Photodiagnosis and Photodynamic Therapy. 41. 103475–103475.
7.
Hijazi, Akram, et al.. (2022). Anticancer effect of different rhizome extracts of the Lebanese Rheum ribes L. species on colorectal cancer cell lines. Phytomedicine Plus. 2(3). 100321–100321. 5 indexed citations
8.
Baba, Ranim El, Sébastien Pasquereau, Sandy Haidar Ahmad, Mona Diab‐Assaf, & Georges Herbein. (2022). Oncogenic and Stemness Signatures of the High-Risk HCMV Strains in Breast Cancer Progression. Cancers. 14(17). 4271–4271. 20 indexed citations
9.
Farges, Marie‐Chantal, Augustin Le Naour, Nicolas Gonçalves-Mendes, et al.. (2020). Vitamin D supplementation associated with physical exercise promotes a tolerogenic immune environment without effect on mammary tumour growth in C57BL/6 mice. European Journal of Nutrition. 60(5). 2521–2535. 4 indexed citations
11.
Léger, David Y., Soumaya Nasri, Frédérique Brégier, et al.. (2017). In vitro anticancer activity of new gold(III) porphyrin complexes in colon cancer cells. Journal of Inorganic Biochemistry. 177. 27–38. 27 indexed citations
12.
Poulard, Coralie, et al.. (2016). LKB1, A New Biomarker in Breast Cancer. Journal of Cancer Therapy. 7(10). 690–699. 2 indexed citations
13.
Pinon, Aline, Lama Hassan, Youness Limami, et al.. (2016). Resistance to 3‐HTMC‐Induced Apoptosis Through Activation of PI3K/Akt, MEK/ERK, and p38/COX‐2/PGE2 Pathways in Human HT‐29 and HCT116 Colorectal Cancer Cells. Journal of Cellular Biochemistry. 117(12). 2875–2885. 33 indexed citations
14.
Harakeh, Steve, Mona Diab‐Assaf, Rania Azar, et al.. (2014). Epigallocatechin-3-gallate Inhibits Tax-dependent Activation of Nuclear Factor Kappa B and of Matrix Metalloproteinase 9 in Human T-cell Lymphotropic Virus-1 Positive Leukemia Cells. Asian Pacific Journal of Cancer Prevention. 15(3). 1219–1225. 17 indexed citations
15.
Limami, Youness, Christelle Pouget, David Y. Léger, et al.. (2013). Novel methylsulfonyl chalcones as potential antiproliferative drugs for human prostate cancer: Involvement of the intrinsic pathway of apoptosis. International Journal of Oncology. 43(4). 1160–1168. 15 indexed citations
16.
Safi, Sher Zaman, et al.. (2012). The ethanol fraction from the stem of Berberis libanotica inhibits the viability of adult T cell leukemia. Scopus. 8 indexed citations
17.
Mroueh, Mohamad, et al.. (2011). Chemopreventive effects of wild carrot oil against 7,12-dimethyl benz(a)anthracene-induced squamous cell carcinoma in mice. Pharmaceutical Biology. 49(9). 955–961. 24 indexed citations
18.
Gali‐Muhtasib, Hala, Doerthe Kuester, Christian Mawrin, et al.. (2008). Thymoquinone Triggers Inactivation of the Stress Response Pathway Sensor CHEK1 and Contributes to Apoptosis in Colorectal Cancer Cells. Cancer Research. 68(14). 5609–5618. 129 indexed citations
19.
Diab‐Assaf, Mona, et al.. (2007). Evaluation of anti-cancer effect of Daucus carota on the human promyelocytic leukemia HL-60 cells. Clinical Cancer Research. 13. 5 indexed citations
20.
Harakeh, Steve, et al.. (2006). Mechanistic aspects of apoptosis induction by l-lysine in both HTLV-1-positive and -negative cell lines. Chemico-Biological Interactions. 164(1-2). 102–114. 10 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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