Sanaa Nabha

1.1k total citations
35 papers, 886 citations indexed

About

Sanaa Nabha is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sanaa Nabha has authored 35 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Sanaa Nabha's work include Protease and Inhibitor Mechanisms (7 papers), Bone health and treatments (6 papers) and Glioma Diagnosis and Treatment (5 papers). Sanaa Nabha is often cited by papers focused on Protease and Inhibitor Mechanisms (7 papers), Bone health and treatments (6 papers) and Glioma Diagnosis and Treatment (5 papers). Sanaa Nabha collaborates with scholars based in United States, Lebanon and France. Sanaa Nabha's co-authors include Youssef Fares, R. Daniel Bonfil, Michael L. Cher, Jawad Fares, Hamilto Yamamoto, Meng Hong, Ayad Al‐Katib, Zhong Dong, George R. Pettit and Aaron Sabbota and has published in prestigious journals such as Cancer Research, Oncogene and Biochemical and Biophysical Research Communications.

In The Last Decade

Sanaa Nabha

35 papers receiving 874 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanaa Nabha United States 16 388 300 228 114 72 35 886
Michael Hedvat United States 10 465 1.2× 315 1.1× 83 0.4× 74 0.6× 75 1.0× 16 953
Irina Mikolaenko United States 12 786 2.0× 280 0.9× 252 1.1× 122 1.1× 51 0.7× 27 1.4k
Dee Dee Smart United States 17 558 1.4× 182 0.6× 105 0.5× 202 1.8× 46 0.6× 32 1.0k
Nicholas J. Gutowski United Kingdom 20 381 1.0× 106 0.4× 137 0.6× 88 0.8× 36 0.5× 32 1.0k
Svetlana Zonis United States 19 564 1.5× 326 1.1× 226 1.0× 50 0.4× 110 1.5× 27 1.3k
Dana Jurkovičová Slovakia 16 737 1.9× 249 0.8× 299 1.3× 61 0.5× 30 0.4× 43 1.2k
Sophia Havaki Greece 15 564 1.5× 130 0.4× 108 0.5× 133 1.2× 58 0.8× 41 1.1k
Virginia Álvarez-García Spain 15 613 1.6× 293 1.0× 272 1.2× 135 1.2× 125 1.7× 21 1.5k
Örjan Lindhe Sweden 14 196 0.5× 223 0.7× 164 0.7× 77 0.7× 36 0.5× 27 950
Iris Oezen Germany 13 361 0.9× 214 0.7× 92 0.4× 53 0.5× 45 0.6× 14 820

Countries citing papers authored by Sanaa Nabha

Since Specialization
Citations

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

Fields of papers citing papers by Sanaa Nabha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanaa Nabha

This figure shows the co-authorship network connecting the top 25 collaborators of Sanaa Nabha. A scholar is included among the top collaborators of Sanaa Nabha 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 Sanaa Nabha. Sanaa Nabha 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.
Nabha, Sanaa, et al.. (2024). Insight into brain sex differences of typically developed infants and brain pathologies: A systematic review. European Journal of Neuroscience. 60(1). 3491–3504. 2 indexed citations
2.
Nabha, Sanaa, et al.. (2023). Association between vitamin D deficiency and multiple sclerosis- MRI significance: A scoping review. Heliyon. 9(5). e15754–e15754. 5 indexed citations
3.
Bahmad, Hisham F., et al.. (2022). STAT3 in medulloblastoma: a key transcriptional regulator and potential therapeutic target. Molecular Biology Reports. 49(11). 10635–10652. 4 indexed citations
4.
5.
Bahmad, Hisham F., et al.. (2022). Targeting Angiogenic Factors for the Treatment of Medulloblastoma. Current Treatment Options in Oncology. 23(6). 864–886. 3 indexed citations
6.
Harati, Hayat, et al.. (2021). Deciphering the roles of glycogen synthase kinase 3 (GSK3) in the treatment of autism spectrum disorder and related syndromes. Molecular Biology Reports. 48(3). 2669–2686. 12 indexed citations
7.
Fares, Youssef, et al.. (2021). New insights into the role of fibroblast growth factors in Alzheimer’s disease. Molecular Biology Reports. 49(2). 1413–1427. 20 indexed citations
8.
Fares, Youssef, et al.. (2021). Biomarkers in Neuroblastoma: An Insight into Their Potential Diagnostic and Prognostic Utilities. Current Treatment Options in Oncology. 22(11). 102–102. 21 indexed citations
9.
Nabha, Sanaa, et al.. (2021). Epidemiology and Distribution of Primary Brain Tumour Subtypes in Lebanon: A Multicenter Eleven-Year Study. 6(1). 1 indexed citations
10.
Bahmad, Hisham F., et al.. (2020). Prognostic impact of adenylyl cyclase-associated protein 2 (CAP2) in glioma: A clinicopathological study. Heliyon. 6(1). e03236–e03236. 5 indexed citations
11.
Fares, Jawad, et al.. (2017). Post-traumatic stress disorder in adult victims of cluster munitions in Lebanon: a 10-year longitudinal study. BMJ Open. 7(8). e017214–e017214. 26 indexed citations
12.
Dong, Zhong, Allen Saliganan, Meng Hong, et al.. (2008). Prostate Cancer Cell-Derived Urokinase-Type Plasminogen Activator Contributes to Intraosseous Tumor Growth and Bone Turnover. Neoplasia. 10(5). 439–449. 37 indexed citations
13.
Wiesner, Christoph, Sanaa Nabha, R. Daniel Bonfil, et al.. (2008). C-Kit and Its Ligand Stem Cell Factor: Potential Contribution to Prostate Cancer Bone Metastasis. Neoplasia. 10(9). 996–1003. 73 indexed citations
14.
Nabha, Sanaa, Hamilto Yamamoto, Zhong Dong, et al.. (2008). Bone marrow stromal cells enhance prostate cancer cell invasion through type I collagen in an MMP‐12 dependent manner. International Journal of Cancer. 122(11). 2482–2490. 47 indexed citations
15.
Bonfil, R. Daniel, Zhong Dong, J. Carlos Trindade Filho, et al.. (2007). Prostate Cancer-Associated Membrane Type 1-Matrix Metalloproteinase. American Journal Of Pathology. 170(6). 2100–2111. 59 indexed citations
16.
Bonfil, R. Daniel, Aaron Sabbota, Sanaa Nabha, et al.. (2005). Inhibition of human prostate cancer growth and osteolysis in a bone metastasis model by a mechanism-based specific gelatinase inhibitor (SB-3CT). Cancer Research. 65. 1028–1028. 1 indexed citations
17.
Bonfil, R. Daniel, Aaron Sabbota, Sanaa Nabha, et al.. (2005). Inhibition of human prostate cancer growth, osteolysis and angiogenesis in a bone metastasis model by a novel mechanism‐based selective gelatinase inhibitor. International Journal of Cancer. 118(11). 2721–2726. 80 indexed citations
18.
19.
Nabha, Sanaa, Ramzi M. Mohammad, Brigitte Coupaye-Gerard, et al.. (2002). Combretastatin-A4 prodrug induces mitotic catastrophe in chronic lymphocytic leukemia cell line independent of caspase activation and poly(ADP-ribose) polymerase cleavage.. PubMed. 8(8). 2735–41. 79 indexed citations
20.
Wall, Nathan R., Ramzi M. Mohammad, Sanaa Nabha, George R. Pettit, & Ayad Al‐Katib. (1999). Modulation of cIAP-1 by Novel Antitubulin Agents When Combined with Bryostatin 1 Results in Increased Apoptosis in the Human Early Pre-B Acute Lymphoblastic Leukemia Cell Line Reh. Biochemical and Biophysical Research Communications. 266(1). 76–80. 8 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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